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Posts Tagged: extinction
Are Western Monarchs Heading for Extinction?
Are western monarch butterflies heading for extinction? A Sept. 7 article in Reuters, headlined "Monarchs in Western United States Risk Extinction,...
A male monarch takes flight on Sept. 12 in Vacaville, Calif. (Photo by Kathy Keatley Garvey)
A male monarch heads for another flower on tropical milkweed, Asclepias curassavica, in Vacaville, Calif. (Photo by Kathy Keatley Garvey)
Startled, a male monarch abruptly leaves a tropical milkweed blossom, Asclepias curassavica, in Vacaville, Calif. (Photo by Kathy Keatley Garvey)
Monarchs nectaring on tropical milkweed, Asclepias curassavica, in Vacaville, Calif. (Photo by Kathy Keatley Garvey)
Posted on Tuesday, September 12, 2017 at 11:56 AM
Tags: Art Shapiro (202), Danaus plexippus (40), extinction (2), migration (9), monarch butterflies (71), North American Butterfly Association (1), UC Davis Department of Evollution and Ecology (1), Xerces Society (31)
Climate change threatens California native fish
Speckled Dace in the Owens Valley are on a list of the 20 native fish threatened with extinction in the next 100 years.
A recent study led Peter Moyle, professor in the Department of Wildlife, Fish and Conservation Biology at UC Davis, predicts the demise of 82 percent of California's native fish if present trends continue.
The study, published online in May in the journal PLOS ONE, assessed how vulnerable each freshwater species is to climate change and estimated the likelihood that those species would become extinct in California within 100 years.
The researchers found that, of 121 native fish species, 82 percent are likely to be driven to extinction or very low numbers as climate change speeds the decline of already depleted populations. In contrast, only 19 percent of the 50 non-native fish species in the state face a similar risk of extinction.
"If present trends continue, much of the unique California fish fauna will disappear and be replaced by alien fishes, such as carp, largemouth bass, fathead minnows and green sunfish," said Moyle, who has been documenting the biology and status of California fish for the past 40 years.
"Disappearing fish will include not only obscure species of minnows, suckers and pupfishes, but also coho salmon, most runs of steelhead trout and Chinook salmon, and Sacramento perch," Moyle said.
Fish requiring cold water, such as salmon and trout, are particularly likely to go extinct, the study said. However, non-native fish species are expected to thrive, although some will lose their aquatic habitats during severe droughts and low-flow summer months.
The top 20 native California fish most likely to become extinct in California within 100 years as the result of climate change include (asterisks denote a species already listed as threatened or endangered):
Klamath Mountains Province summer steelhead
McCloud River redband trout
Unarmored threespine stickleback*
Shay Creek stickleback
Delta smelt*
Long Valley speckled dace
Central Valley late fall Chinook salmon
Kern River rainbow trout
Shoshone pupfish
Razorback sucker*
Upper Klamath-Trinity spring Chinook salmon
Southern steelhead*
Clear Lake hitch
Owens speckled dace
Northern California coast summer steelhead
Amargosa Canyon speckled dace
Central coast coho salmon*
Southern Oregon Northern California coast coho salmon*
Modoc sucker*
Pink salmon
The species are listed in order of vulnerability to extinction, with No. 1 being the most vulnerable.
Climate change and human-caused degradation of aquatic habitats is causing worldwide declines in freshwater fishes, especially in regions with arid or Mediterranean climates. These declines pose a major conservation challenge. However, there has been little research in the scientific literature related to the status of most fish species, particularly native ones of little economic value.
Moyle saw the need for a rapid and repeatable method to determine the climate change vulnerability of different species. He expects the method presented in the study to be useful for conservation planning.
"These fish are part of the endemic flora and fauna that makes California such a special place," said Moyle. "As we lose these fishes, we lose their environments and are much poorer for it."
Co-authors of the study were postdoctoral students Joseph Kiernan, Patrick Crain and Rebecca Quiñones of the Center for Watershed Sciences at UC Davis. Funding for the study was provided by the California Energy Commission.
Media coverage of the study includes:
USA Today: Climate change threatens 82% of native California fish
LA Times: California native fish could disappear with climate change
Contributor: John Stumbos
Author: Katherine E. Kerlin
Tags: California native fish (1), climate change (89), extinction (2), Peter Moyle (4)


Senior actress Tanvi Azmi has been finalized to play a prime role in Esselvision's ambitious project, remake of a Tamil super hit TV show!!
Esselvision Productions, the company which has given the TV viewing audience a taste of reality shows like SaReGaMaPa and Dance India Dance will now work on two major fiction series.
As already reported in media, Esselvision will be coming up with the new-age Hum Paanch, the story of the intellectual and crazy family with five girls which was a runaway hit in the 90s, then produced by Balaji Telefilms. Hum Paanch Phir Se, is likely to be on air in May on Big Magic.
We at Indianwikimedia.com have also learnt that Esselvision is presently working on another big-budget show, which will be the remake of the successful Tamil show, Vani Rani.
Vani Rani will be the story of two twin sisters, who would be contrasts in terms of thought process, educational proficiency and even financial statusquo, yet will stand united to overcome the problems of their family.
The Tamil series which was aired on Sun TV was a huge hit with actress Radhika playing the double roles. The series was produced by Radhika Sarathkumar's Radaan Mediaworks.
Now coming to the cast of the Hindi version, National Award winner actress Tanvi Azmi has been locked for the prime role as per sources. As for Tanvi, she excelled in the TV show Sinndoor Tere Naam Ka years back and has also been part of shows Mirza Ghalib, Kahkashan, Zameen Aasmaan, Lifeline, Family No. 1 on the small screen.
On the big screen of course, the actress has a huge body of work and some of the noted movies she's done includes Pyari Behna, Darr, Akele Hum Akele Tum, Mela, Dhai Akshar Prem Ke, Aurangzeb, and her National Award winning act in Sanjay Leela Bhansali's Bajirao Mastani.
Vani Rani, the Zee Networks project is slated to be commissioned for & TV, is what we hear as of now. As per the information got, senior actress Neena Gupta was the first choice for this role, and talks were on with her for a long time. However, the deal did not happen and that is when the equally talented actress Tanvi was offered the role.
We buzzed the spokesperson at Esselvision, but could not get through.
We also reached out to the channel spokesperson at &, but did not get revert till we filed the story.
Gear up for more exclusive updates right here on Indianwikimedia.com.


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Q: label залазиет на кнопку После нажатия на кнопку, текст, который должен отобразиться в label залазит на кнопку.
Код:
from PyQt5 import QtCore, QtGui, QtWidgets

class Ui_MainWindow(object):
    def setupUi(self, MainWindow):
        MainWindow.setObjectName("MainWindow")
        MainWindow.resize(268, 310)
        MainWindow.setMinimumSize(QtCore.QSize(268, 310))
        MainWindow.setMaximumSize(QtCore.QSize(268, 310))
        self.centralwidget = QtWidgets.QWidget(MainWindow)
        self.centralwidget.setObjectName("centralwidget")
        self.plainTextEdit = QtWidgets.QPlainTextEdit(self.centralwidget)
        self.plainTextEdit.setGeometry(QtCore.QRect(10, 10, 251, 211))
        self.plainTextEdit.setObjectName("plainTextEdit")
        self.pushButton = QtWidgets.QPushButton(self.centralwidget)
        self.pushButton.setGeometry(QtCore.QRect(10, 260, 251, 41))
        self.pushButton.setMinimumSize(QtCore.QSize(251, 41))
        self.pushButton.setMaximumSize(QtCore.QSize(251, 41))
        self.pushButton.setObjectName("pushButton")
        self.label = QtWidgets.QLabel(self.centralwidget)
        self.label.setGeometry(QtCore.QRect(10, 280, 251, 21))
        self.label.setText("")
        self.label.setObjectName("label")
        MainWindow.setCentralWidget(self.centralwidget)

        self.retranslateUi(MainWindow)
        QtCore.QMetaObject.connectSlotsByName(MainWindow)

    def retranslateUi(self, MainWindow):
        _translate = QtCore.QCoreApplication.translate
        MainWindow.setWindowTitle(_translate("MainWindow", "MainWindow"))
        self.plainTextEdit.setPlaceholderText(_translate("MainWindow", "Лог..."))
        self.pushButton.setText(_translate("MainWindow", "PushButton"))

class MyWin(QtWidgets.QMainWindow):
    def __init__(self, parent = None):
        QtWidgets.QWidget.__init__(self, parent)
        self.ui = Ui_MainWindow()
        self.ui.setupUi(self)

        self.ui.pushButton.clicked.connect(self.handler)

    def handler(self):
        self.ui.pushButton.setDisabled(True)
        self.ui.plainTextEdit.appendPlainText('Push')
        self.ui.label.setText('Push')

if __name__ == "__main__":
    app = QtWidgets.QApplication(sys.argv)
    myapp = MyWin()
    myapp.show()
    sys.exit(app.exec_())

A: Плохая практика пользоваться абсолютным позиционированием.
Вам надо освоить менеджеры компоновки и тогда ваше приложение может выглядеть так:
import sys
from PyQt5 import QtCore, QtGui, QtWidgets

class Ui_MainWindow(object):
    def setupUi(self, MainWindow):
        MainWindow.setObjectName("MainWindow")
        MainWindow.resize(268, 310)
#        MainWindow.setMinimumSize(QtCore.QSize(268, 310))
#        MainWindow.setMaximumSize(QtCore.QSize(268, 310))
        self.centralwidget = QtWidgets.QWidget(MainWindow)
        self.centralwidget.setObjectName("centralwidget")
        self.plainTextEdit = QtWidgets.QPlainTextEdit(self.centralwidget)
        self.plainTextEdit.setGeometry(QtCore.QRect(10, 10, 251, 211))
        self.plainTextEdit.setObjectName("plainTextEdit")
        self.pushButton = QtWidgets.QPushButton(self.centralwidget)
        self.pushButton.setGeometry(QtCore.QRect(10, 260, 251, 41))
        self.pushButton.setMinimumSize(QtCore.QSize(251, 41))
        self.pushButton.setMaximumSize(QtCore.QSize(251, 41))
        self.pushButton.setObjectName("pushButton")
        self.label = QtWidgets.QLabel(self.centralwidget)
        self.label.setGeometry(QtCore.QRect(10, 280, 251, 21))
        self.label.setText("")
        self.label.setObjectName("label")
        MainWindow.setCentralWidget(self.centralwidget)

        self.retranslateUi(MainWindow)
        QtCore.QMetaObject.connectSlotsByName(MainWindow)

    def retranslateUi(self, MainWindow):
        _translate = QtCore.QCoreApplication.translate
        MainWindow.setWindowTitle(_translate("MainWindow", "MainWindow"))
        self.plainTextEdit.setPlaceholderText(_translate("MainWindow", "Лог..."))
        self.pushButton.setText(_translate("MainWindow", "PushButton"))

class MyWin(QtWidgets.QMainWindow, Ui_MainWindow):
    def __init__(self):
        super().__init__()

        self.setupUi(self)

        self.pushButton.clicked.connect(self.handler)

# +++ vvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvv
        layout = QtWidgets.QGridLayout(self.centralwidget)
        layout.addWidget(self.plainTextEdit, 1, 1)
        layout.addWidget(self.label, 2, 1)
        layout.addWidget(self.pushButton, 3, 1)
        layout.setRowStretch(0, 1)
        layout.setRowStretch(4, 1)
        layout.setColumnStretch(0, 1)
        layout.setColumnStretch(2, 1)
# +++ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

    def handler(self):
        self.pushButton.setDisabled(True)
        self.plainTextEdit.appendPlainText('Push')
        self.label.setText('Push')

if __name__ == "__main__":
    app = QtWidgets.QApplication(sys.argv)
    myapp = MyWin()
    myapp.show()
    sys.exit(app.exec_())

redpajama_set_name: RedPajamaStackExchange


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Q: Pandas load from_records non-sparsely I am trying to load a list of dictionaries into pandas as efficiently as possible.  Here is a minimal example for constructing my data, which I call below, mylist:
import pandas as pd
import random
from string import ascii_lowercase

random.seed(100)

mylist = []
for i in range(100):
    random_string_variable = "".join(random.sample("DINOSAUR", len("DINOSAUR")))
    random_string = "".join(random.sample("DINOSAUR", len("DINOSAUR")))
    for j in range(10):
        myrecord = {"i": i,
                    "identifier" : random_string,
                    f"var_{ascii_lowercase[j].upper()}_xx" : random.random(),
                    f"var_{ascii_lowercase[j].upper()}_yy" : random.random()*10,
                    f"var_{ascii_lowercase[j].upper()}_zz" : random.random()*100
                    }
        mylist.append(myrecord)

pprint(mylist[0:5])
[{'i': 0,
  'identifier': 'NROUIDSA',
  'var_A_xx': 0.03694960304368877,
  'var_A_yy': 4.4615792434297585,
  'var_A_zz': 68.37385464983947},
 {'i': 0,
  'identifier': 'NROUIDSA',
  'var_B_xx': 0.7476846773635049,
  'var_B_yy': 3.2014779786116643,
  'var_B_zz': 58.91595571819701},
 {'i': 0,
  'identifier': 'NROUIDSA',
  'var_C_xx': 0.3502573960649995,
  'var_C_yy': 6.713087131908023,
  'var_C_zz': 74.36827046647622},
 {'i': 0,
  'identifier': 'NROUIDSA',
  'var_D_xx': 0.23513409285324904,
  'var_D_yy': 3.894932754840866,
  'var_D_zz': 65.35552900764706},
 {'i': 0,
  'identifier': 'NROUIDSA',
  'var_E_xx': 0.6660170004345193,
  'var_E_yy': 1.9094479278081555,
  'var_E_zz': 36.84983796653053}]

When I try to load this into pandas, it makes the data frame very non-sparse, with a lot of NaN repetition:
df = pd.DataFrame.from_records(mylist)
df

produces:
df
      i identifier  var_A_xx  var_A_yy   var_A_zz  var_B_xx  var_B_yy  ...  var_H_zz  var_I_xx  var_I_yy   var_I_zz  var_J_xx  var_J_yy   var_J_zz
0     0   NROUIDSA   0.03695  4.461579  68.373855       NaN       NaN  ...       NaN       NaN       NaN        NaN       NaN       NaN        NaN
1     0   NROUIDSA       NaN       NaN        NaN  0.747685  3.201478  ...       NaN       NaN       NaN        NaN       NaN       NaN        NaN
2     0   NROUIDSA       NaN       NaN        NaN       NaN       NaN  ...       NaN       NaN       NaN        NaN       NaN       NaN        NaN
3     0   NROUIDSA       NaN       NaN        NaN       NaN       NaN  ...       NaN       NaN       NaN        NaN       NaN       NaN        NaN
4     0   NROUIDSA       NaN       NaN        NaN       NaN       NaN  ...       NaN       NaN       NaN        NaN       NaN       NaN        NaN
..   ..        ...       ...       ...        ...       ...       ...  ...       ...       ...       ...        ...       ...       ...        ...
995  99   SORIUDAN       NaN       NaN        NaN       NaN       NaN  ...       NaN       NaN       NaN        NaN       NaN       NaN        NaN
996  99   SORIUDAN       NaN       NaN        NaN       NaN       NaN  ...       NaN       NaN       NaN        NaN       NaN       NaN        NaN
997  99   SORIUDAN       NaN       NaN        NaN       NaN       NaN  ...  63.72333       NaN       NaN        NaN       NaN       NaN        NaN
998  99   SORIUDAN       NaN       NaN        NaN       NaN       NaN  ...       NaN  0.367797  4.162167  84.699542       NaN       NaN        NaN
999  99   SORIUDAN       NaN       NaN        NaN       NaN       NaN  ...       NaN       NaN       NaN        NaN  0.634893  7.628154  75.903316

[1000 rows x 32 columns]

What I would like it to look like is:
               var_A_xx  var_A_yy   var_A_zz  var_B_xx  var_B_yy   var_B_zz  ...  var_I_xx  var_I_yy   var_I_zz  var_J_xx  var_J_yy   var_J_zz
i  identifier                                                                ...
0  NROUIDSA    0.036950  4.461579  68.373855  0.747685  3.201478  58.915956  ...  0.962999  7.332500  13.216899  0.847280  6.504308   8.552283
1  NURDASOI    0.814194  9.570388  21.239626  0.468727  6.180384  24.260818  ...  0.346681  9.865105  82.261586  0.221160  8.481875  92.645263
2  OARNDUIS    0.813418  1.103359   1.198749  0.646912  2.409214  76.037434  ...  0.404528  2.112085   8.461932  0.621124  5.372169  36.500880
3  DISORNAU    0.533450  1.094177  44.053734  0.804385  5.947438  28.360524  ...  0.121844  5.806337  85.657067  0.735207  4.011567  38.368097
4  SIONUDRA    0.672725  3.724022  58.280713  0.346717  7.432624  49.726532  ...  0.238869  0.769056  58.188641  0.415537  6.828866  38.802765
...                 ...       ...        ...       ...       ...        ...  ...       ...       ...        ...       ...       ...        ...
95 URIADNSO    0.231775  3.114448  65.241238  0.116461  4.330002  12.864624  ...  0.516712  5.589706  87.261427  0.572551  4.060943  80.102004
96 ISDONRAU    0.295684  8.406004  22.817404  0.160434  8.415922  47.288958  ...  0.050647  8.720049  44.407892  0.038166  5.027924  73.852513
97 OIAUSDNR    0.331393  9.480417  90.311381  0.985708  6.384429  55.459062  ...  0.947673  4.406426  68.098531  0.377523  5.258620  61.035638
98 DIONAURS    0.690593  4.316975   9.866558  0.822896  3.822044  68.863371  ...  0.994493  3.550660  22.769721  0.199187  7.254650  91.232969
99 SORIUDAN    0.960168  6.769579  49.488535  0.671168  1.577146  78.835216  ...  0.367797  4.162167  84.699542  0.634893  7.628154  75.903316

[100 rows x 30 columns]

You can see it is a 10x waste of memory to have the first representation.  Obviously, there are a variety of ways to get from A to B.  How can I tell pandas to /read in/ this list of records as non-sparse, as I assume this would be the most performant?  You can see extra records are inserted with NaN values.  I'm expecting 100 rows, where the index is given by ["i", "identifier"] and 30 columns.
My preference is to do this at load time with the correct keywords and data load method, rather than relying after the fact on a pivot operations in pandas as they are comparatively slow.  I'm asking this question largely for performance, for example with much larger i and somewhat larger j.
df = pd.DataFrame.from_records(mylist, index=["i", "identifier"])
df

Did not do the job.
pd.DataFrame.from_records(mylist, index=["i", "identifier"]).unstack()
ValueError: Index contains duplicate entries, cannot reshape

Also fails.
If there do not exist arguments to ingest the list of dictionaries non-sparsely into a dataframe---this is the focus of my question---which of the .agg, pivot_table, reshape, long_to_wide, and unstack methods would be the fastest at getting from A to B for larger data sets?

A: I think your issue is not from pandas, you can create the records according to what you want as a result. I edit your implementation as below,
import random
from string import ascii_lowercase

import pandas as pd

random.seed(100)

mylist = []
for i in range(100):
    random_string_variable = "".join(random.sample("DINOSAUR", len("DINOSAUR")))
    random_string = "".join(random.sample("DINOSAUR", len("DINOSAUR")))
    record = {
              "i": i,
              "identifier": random_string
    }
    for j in range(10):
        record[f"var_{ascii_lowercase[j].upper()}_xx"] = random.random()
        record[f"var_{ascii_lowercase[j].upper()}_yy"] = random.random() * 10,
        record[f"var_{ascii_lowercase[j].upper()}_zz"] = random.random() * 100
    mylist.append(record)

print(len(mylist))

df = pd.DataFrame.from_records(mylist)
df

As it is about loading the records into Pandas, maybe it can be easier to process the list before passing into pandas such as
from itertools import groupby
from collections import ChainMap

records = []
for k, v in groupby(mylist, key=lambda x: (x['i'], x['identifier'])):
    record = dict(ChainMap(*v))
    records.append(record)
df = pd.DataFrame.from_records(records)
print(df)

A: I don't think this is possible with a pandas argument at load time, but you can use a comprehension to collapse your list of dicts into a single dict for each row
Data:
a = [
{'i': 0,
  'identifier': 'NROUIDSA',
  'var_A_xx': 0.03694960304368877,
  'var_A_yy': 4.4615792434297585,
  'var_A_zz': 68.37385464983947},
 {'i': 0,
  'identifier': 'NROUIDSA',
  'var_B_xx': 0.7476846773635049,
  'var_B_yy': 3.2014779786116643,
  'var_B_zz': 58.91595571819701},
 {'i': 0,
  'identifier': 'NROUIDSA',
  'var_C_xx': 0.3502573960649995,
  'var_C_yy': 6.713087131908023,
  'var_C_zz': 74.36827046647622},
 {'i': 0,
  'identifier': 'NROUIDSA',
  'var_D_xx': 0.23513409285324904,
  'var_D_yy': 3.894932754840866,
  'var_D_zz': 65.35552900764706},
 {'i': 0,
  'identifier': 'NROUIDSA',
  'var_E_xx': 0.6660170004345193,
  'var_E_yy': 1.9094479278081555,
  'var_E_zz': 36.84983796653053},
{'i': 1,
  'identifier': 'SORIUDAN',
  'var_A_xx': 0.03694960304368877,
  'var_A_yy': 4.4615792434297585,
  'var_A_zz': 68.37385464983947},
 {'i': 1,
  'identifier': 'SORIUDAN',
  'var_B_xx': 0.7476846773635049,
  'var_B_yy': 3.2014779786116643,
  'var_B_zz': 58.91595571819701},
 {'i': 1,
  'identifier': 'SORIUDAN',
  'var_C_xx': 0.3502573960649995,
  'var_C_yy': 6.713087131908023,
  'var_C_zz': 74.36827046647622},
 {'i': 1,
  'identifier': 'SORIUDAN',
  'var_D_xx': 0.23513409285324904,
  'var_D_yy': 3.894932754840866,
  'var_D_zz': 65.35552900764706},
 {'i': 1,
  'identifier': 'SORIUDAN',
  'var_E_xx': 0.6660170004345193,
  'var_E_yy': 1.9094479278081555,
  'var_E_zz': 36.84983796653053}
]

Cleaning the list of dicts:
# get list of keys--assumed here to be the identifier dict value
l_key = list(dict.fromkeys([l.get('identifier') for l in a]))
# a data dict we'll append the properly parsed dict to
data = list()
# iterate through original dict and append.
for i in l_key:
    l_data = [l for l in a if l.get('identifier') == i]
    data.append({k: v for d in l_data for k, v in d.items()})

adding data to the pandas df.
import pandas as pd
df  = pd.DataFrame.from_records(data)
print(df)
print(df.dtypes)

I don't know that this would be faster than dealing with the data after you've loaded it into the DataFrame but it is another approach.

A: There's a number of ways to load the data as it is:
>>> df_idx = pd.DataFrame.from_records(mylist, index=['i', 'identifier'])
>>> df = pd.DataFrame.from_records(mylist)
>>> df = pd.DataFrame.from_dict(mylist)
>>> df = pd.DataFrame(mylist)

Then we could group by columns or levels, and take the first non-NA value:
>>> df_idx.groupby(level=[0, 1]).first()
>>> df.groupby(['i', 'identifier']).first()

Those are both pretty much improved versions of .agg() as you don't have to specify a lambda function.
Then with the same loading, we can try to reshape the data, with stack/unstack or melt/pivot
>>> df_idx.stack().unstack()

>>> pd.melt(pd.DataFrame(mylist), id_vars=['i', 'identifier']).dropna().pivot(index=['i', 'identifier'], columns='variable', values='value')

If that's not satisfactory, there's also reshaping before loading, which could be done through list comprehensions, and either ChainMap or dict comprehensions, or with numpy. This relies on the fact that there's always 10 dictionaries with the same keys in a row, and chaining the same iterator the appropriate number of times with zip():
>>> pd.DataFrame({k: v for d in tup for k, v in d.items()} for tup in zip(*[iter(mylist)] * 10))
>>> pd.DataFrame(ChainMap(*tup) for tup in zip(*[iter(mylist)] * 10))

>>> df = pd.concat([pd.DataFrame(mylist[n::10]) for n in range(10)], axis='columns')
>>> df.groupby(df.columns, axis='columns').first()

>>> reshaped = np.reshape(mylist, (100, 10))
>>> df = pd.concat([pd.json_normalize(reshaped[:,n]) for n in range(10)], axis='columns')
>>> df.groupby(df.columns, axis='columns').first()

I've measured with i=100 and j=10 as in your example and with i=1000 and j=100.

You can see which way you get the data into a dataframe does not matter: all groupby variants have the same results. As you suspect loading the data and then "fixing" it performs pretty bad. pd.concat does not work too well on 100x10 but scales better on the 1000x100 data, and what seems the best is pure-python dict iteration (maybe because it' a comprehension and not a list? Not sure). The reshaping techniques, stack/unstack and melt/pivot, are always the worst.
Of course these results may change with different data sizes, and you probably know better what the right sizes to test are, based on your real data. Here's the full script I used to run the tests so you can run some yourself:
#!/usr/bin/python3

import numpy as np
import pandas as pd
from collections import ChainMap
from matplotlib import pyplot as plt
import timeit

def gen(imax, jmax):
    mylist = []
    l = ord('A')
    for i in range(imax):
        random_string = ''.join(np.random.permutation(list('DINOSAUR')))
        for j in range(jmax):
            var = f'var_{chr(l + (j // 26)) if j >= 26 else ""}{chr(l + (j % 26))}'
            mylist.append({
                'i': i,
                'identifier' : random_string,
                var + '_xx' : np.random.random(),
                var + '_yy' : np.random.random()*10,
                var + '_zz' : np.random.random()*100
            })
    return mylist

def load_rec_idx_groupby(mylist, j):
    return pd.DataFrame.from_records(mylist, index=['i', 'identifier']).groupby(level=[0, 1]).first()

def load_rec_groupby(mylist, j):
    return pd.DataFrame.from_records(mylist).groupby(['i', 'identifier']).first()

def load_dict_groupby(mylist, j):
    return pd.DataFrame.from_dict(mylist).groupby(['i', 'identifier']).first()

def load_constr_groupby(mylist, j):
    return pd.DataFrame(mylist).groupby(['i', 'identifier']).first()

def load_constr_stack(mylist, j):
    return pd.DataFrame(mylist).set_index(['i', 'identifier']).stack().unstack()

def load_constr_melt_pivot(mylist, j):
    return pd.melt(pd.DataFrame(mylist), id_vars=['i', 'identifier']).dropna().pivot(index=['i', 'identifier'], columns='variable', values='value')

def load_zip_iter_dict(mylist, j):
    return pd.DataFrame({k: v for d in tup for k, v in d.items()} for tup in zip(*[iter(mylist)] * j))

def load_zip_iter_chainmap(mylist, j):
    return pd.DataFrame(ChainMap(*tup) for tup in zip(*[iter(mylist)] * 10))

def load_concat_step(mylist, j):
    return pd.concat([pd.DataFrame(mylist[n::10]).drop(columns=['i', 'identifier'] if n else []) for n in range(10)], axis='columns')

def load_concat_reshape(mylist, j):
    reshaped = np.reshape(mylist, (len(mylist) // j, j))
    return pd.concat([pd.json_normalize(reshaped[:,n]).drop(columns=['i', 'identifier'] if n else []) for n in range(j)], axis='columns')

def plot_results(df):
    mins = df.groupby(level=0).median().min(axis='columns')
    rel = df.unstack().T.div(mins)

    ax = rel.groupby(level=0).median().plot.barh()
    ax.set_xlabel('slowdown over fastest')
    ax.axvline(1, color='black', lw=1)
    ax.set_xticks([1, *ax.get_xticks()[1:]])
    ax.set_xticklabels([f'{n:.0f}×' for n in ax.get_xticks()])
    plt.subplots_adjust(left=.4, bottom=.15)
    plt.show()

def run():
    candidates = {n: f for n, f in globals().items() if n.startswith('load_') and callable(f)}
    df = {}
    for tup in [(100, 10), (1000, 100)]:
        glob = {'mylist': gen(*tup), **candidates}
        dat = pd.DataFrame({name:
            timeit.Timer(f'{name}(mylist, {10})', globals=glob).repeat(5, int(100000 / np.multiply(*tup)))
            for name in candidates
        })

        print(dat)
        df['{}×{}'.format(*tup)] = dat

    df = pd.concat(df).rename(columns=lambda s: s.replace('load_', '').replace('_', ' '))
    print(df)
    plot_results(df)

if __name__ == '__main__':
    run()


The brand puts emphasis on basics that is suited for everyday wear. Comfy hoodies, tees and sweatpants are decorated with logos and embroideries, the same that are used in main collections by Balenciaga. Well-known Speed Trainer sneakers follow its counterpart for the adults in every detail with just slightly brighter colourways.


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Play with the stripes along the way, if you wish, to make knitting the sweater even more fun.


Michael F. Kanzer & Associates, P.C. is a full service law firm which has provided quality, affordable legal services to over 3,500 satisfied clients in the Brooklyn, New York City community for over 20 years with aggressive quality and dedicated representation. We have helped hundreds of clients obtain appropriate settlements and recoveries for their injuries. We have recovered millions of dollars for personal injury victims.
Attorney Michael F. Kanzer has been a practicing attorney for more than 25 years and is ready to provide zealous representation for your case. We can handle most issues and problems that an individual might require an attorney.
We also have handled all types of Real Estate Law transactions from one family house closings to complex multi-million dollar commercial closings.
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* Prior results do not guarantee a similar outcome. We advance legal expenses which are payable at the conclusion of the case. Clients may be responsible for disbursements only.


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text:
Home COVID News INSANE: Pfizer CEO Declares FOURTH COVID Shot Needed "Sooner Than Expected"
INSANE: Pfizer CEO Declares FOURTH COVID Shot Needed "Sooner Than Expected"
via Infowars
Pfizer CEO Albert Bourla declared this week that a fourth COVID shot is coming and will be needed "sooner than expected" to protect against the Omicron variant, despite all accounts of the mutation being extremely mild.
Appearing on CNBC, Bourla said "When we see real-world data, we'll determine if the omicron is well covered by the third dose and for how long. And the second point, I think we will need a fourth dose."
Bourla was referring to ongoing studies on the Omicron variant, as he revealed that a preliminary study by Pfizer was based on a synthetic, lab-created copy of the variant. "Those real-world results will be more accurate and are expected in the next two weeks," the Pfizer CEO noted.
Bourla is already pushing forward a potential FOURTH booster shot from a year after the third, stating "With omicron we need to wait and see because we have very little information. We may need it faster."
A week ago Bourla declared that the "most likely scenario" in the near future is "annual revaccination" for COVID.
"I made a projection months ago that the most likely scenario is that we would need after the third dose, annual revaccination against Covid," says @AlbertBourla on boosters. "I think we're going to have an annual revaccination and that should be able to keep us really safe." pic.twitter.com/j2oBuHMM1I
— Squawk Box (@SquawkCNBC) November 29, 2021
Last month, Bourla declared that people who spread "misinformation" about COVID-19 vaccines, meaning anything running counter to what he and the CDC says about them, should be treated as "criminals."
"Those people are criminals," he told Atlantic Council CEO Frederick Kempe. "They're not bad people. They're criminals because they have literally cost millions of lives."
Bourla went on to suggest that life would only ever get "back to normal" once the unvaccinated have been vaccinated.
"The only thing that stands between the new way of life and the current way of life is, frankly, hesitancy to vaccinations," he said.
Meanwhile, the Biden Regime is moving to alter the definition of "fully vaccinated."
Anthony Fauci declared during a CNN interview Wednesday told that it's only a matter of time before the definition of "fully vaccinated" changes, stating "It's going to be a matter of when not if."
Fauci stated "Certainly, when you want to talk about what optimal protection is, I don't think anybody would argue that optimal protection is going to be with a third shot."
CHECK OUT THE LATEST EPISODE OF THE TROY SMITH SHOW!
Previous articleWATCH: NIH Claimed Joint Ownership of Moderna mRNA Vaccine, Began Development WEEKS Ahead of Pandemic
Next articleBREAKING: Worst Inflation in 40 Years as Consumer Prices Soar 6.8 Percent In November
http://Infowars.com

redpajama_set_name: RedPajamaCommonCrawl


AP Calculus AB: Wishing you success ahead!
I am thinking that these days each of you, your family, and your friends are looking to your future and wishing you success. I'd like to do that too!! To wish for you all that Emerson describes-- Would this meaning of success be one you'd be willing to adopt?


Jane Torvill kindly performed the turning on of the Christmas lights in Heathfield. Pupils from Broad Oak Primary School sang Christmas carols.
Pictures supplied by kind permission of The Courier.
A quiz raffle was held on Saturday 8 January 2011 at Heathfield Community Centre when the draw of the winner of the Vauxhall Agila car was made.
Pictures taken during Le Marche, Heathfield, August 2010. Photos kindly supplied by the Le Marche Committee.
All photographs are courtesy of Courier, unless otherwise shown.
All photos supplied by courtesy of The Courier.
Photos taken of event taking place at Heathfield Hurricanes Rugby Club.
Heathfield, East Sussex, Twinning Association. For more information on the twinning association please go to Local Information.
Photos of Le Marche held on Monday 31 August in Station Road, Heathfield, East Sussex. Photographs supplied by organisers of Le Marche.


text:
Giganti jsou obludní dlouhovlasí obři v řecké mytologii. Když Kronos srpem, který mu dala Gaia, zbavil Úrana mužství, z Úranovy krve zrodila Gaia Giganty. Známými Giganty jsou např.: Alkyoneus, Athos, Klytios, Enkelados, Polybotes nebo Echion.

Byli potomky starších bohů, než byli bohové olympští, vynikali nesmírnou silou, a proto neuznávali vládu olympského Dia. Uposlechli svou matku, když je podněcovala ke vzpouře proti olympským bohům. Protože tito obři byli vlivem kouzelné rostliny nezranitelní, Olympanů se nebáli a připravili jim krušné chvíle. Zeus povolal na pomoc svého syna Hérakla.

Giganti se nevzdali, i když jejich osud byl zpečetěn. Jako první zahynul nejsilnější z nich Alkyoneus. Toho Héraklés zranil otráveným šípem, pak zápasili a Héraklés ho přehodil přes hranice rodné země, v níž byl obr nesmrtelný. Nato Héfaistos mrštil na Giganta Klytia rozpálené železo. Athéna na Giganta Enkelada vrhla celý ostrov Sicílii a Poseidón srazil do moře Giganta Polybota kusem ostrova. Většinu ostatních srazil Zeus bleskem. Nakonec je Héraklés do jednoho pobil.

Giganti byli nejprve zobrazování v lidské podobě, později měli hadí těla, křídla, lví hlavy, pařáty. Ještě později jako vousatí statní válečníci, s přilbou, štítem a zvířecí kůži. Někdy však také jako mladiství a bezvousí, dokonce i zcela nazí.

Podle nejstarších bájí bývali Giganti pohřbívání pod ostrovy nebo jinde a lidé tak vysvětlovali činnost sopek.

Boj Gigantů s bohy (gigantomachie) se stal velmi častým námětem výzdoby náboženských objektů ve starém Řecku a upomínal na neměnitelnost vesmírného řádu ochraňovaného bohy. Byl například zachycen na Diově oltáři v Pergamu, který byl ve starověku pokládán za jeden z divů světa.

Odkazy

Reference

Externí odkazy

 Gerhard Löwe, Heindrich Alexander Stoll, ABC Antiky
 Publius Ovidius Naso, Proměny
 Rudolf Mertlík, Starověké báje a pověsti
 Vojtěch Zamarovský, Bohové a hrdinové antických bájí

Řecká mytologie
Bájní tvorové řecké mytologie

redpajama_set_name: RedPajamaWikipedia


text:
/**
 * An implementation based upon the Apache POI library.
 */
@NotNullApi
package com.dua3.meja.model.poi;

import com.dua3.cabe.annotations.NotNullApi;

redpajama_set_name: RedPajamaGithub


text:
Q: Rebasing when existing commit hashes have changed i'm trying to understand more about a git issue our team recently had. We have several layers of branches:
-> Master
   |-> Feature Branch
        |-> Individual developer branches

Small groups of developers work off a feature branch and we have several different feature branches going at once.
When one is merged with Master, feature branch owners will rebase their feature branches. Every so often they have merge conflicts with any work that's been merged to the feature branch from individual developers.
Fixing the merge conflict often changes the commit hash during rebase.
When an individual developer then does a rebase of the feature branch into their development branch, there are technically two commit hashes for the item that was corrected:

*

*The old commit hash (pre-rebase/merge-conflicts) still remains on the developer branch

*The new commit hash (post-rebase) now exists on the feature branch.

When this developer attempts to compare against the feature branch, the old commit is counted as a new work and "dirties" the pull request.
I can easily "workaround" this by having them create a new branch from the latest feature branch, and cherry-pick their work. This discards the old commit hashes, but this isn't efficient.
Is there any way to change our practice or rebase differently so that we can exclude "changed" commit hashes in developer branches?

A: TL;DR version: Have everybody use git pull --rebase.

If I understand you correctly, you have this situation.
A - B - C [m]
     \
      D - E - F [f]
           \
            G - H - I [d]

m for master, f for feature branch and d for dev branches.  You want to be able to rebase f onto m and also rebase d onto the new f.
                     G1 - H1 - I1 [d]
                     /
          D1 - E1 - F1 [f]
         /
A - B - C [m]
     \
      D - E - F
           \
            G - H - I

The answer is to have everybody git pull --rebase which is equivalent to a git fetch plus a git rebase.  Here's how it would work.  This is what the repositories look like after there's been work pushed to master (commit C).
origin
A - B - C [m]
     \
      D - E - F [f]
           \
            G - H - I [d]

feature branch maintainer
A - B [m][o/m]
     \
      D - E - F [f][o/f]
           \
            G - H - I [o/d]

dev branch maintainer
A - B [m][o/m]
     \
      D - E - F [o/f]
           \
            G - H - I [d][o/d]

Feature branch maintainer decides its time to update, so they git pull --rebase origin master.  This does a git fetch origin plus a git rebase origin/master.  Resulting in this.
feature branch maintainer
             D1 - E1 - F1 [f]
            /
A - B [m]- C [o/m]
     \
      D - E - F [o/f]
           \
            G - H - I [o/d]

Then they git push origin (I believe they will need to force) and this is the result.
origin
             D1 - E1 - F1 [f]
            /
A - B - C [m]
     \
      D - E
           \
            G - H - I [d]

feature branch maintainer
             D1 - E1 - F1 [f][o/f]
            /
A - B [m]- C [o/m]
     \
      D - E
           \
            G - H - I [o/d]

dev branch maintainer
A - B [m][o/m]
     \
      D - E - F [o/f]
           \
            G - H - I [d][o/d]

Now the dev branch maintainer wants to update, blissfully unaware that anything has happened to the feature branch.  They git pull --rebase which is equivalent to git fetch origin and git rebase origin/feature.  After the fetch it looks like this.
dev branch maintainer
             D1 - E1 - F1 [o/f]
            /
A - B [m]- C[o/m]
     \
      D - E
           \
            G - H - I [d][o/d]

And then the git rebase origin/feature.
dev branch maintainer
                         G1 - H1 - I1 [d]
                        /
             D1 - E1 - F1 [o/f]
            /
A - B [m]- C[o/m]
     \
      D - E
           \
            G - H - I [o/d]

And they can push that, probably with a --force.
You'll note that the dev branch is on F1, not E1 as it originally was.  If you want to maintain that you'll have to rebase specifically onto E1.

If Git can't figure out that D and E are not really part of the dev branch, you might wind up with this.
dev branch maintainer
                         D2 - E2 - G1 - H1 - I1 [d]
                        /
             D1 - E1 - F1 [o/f]
            /
A - B [m]- C[o/m]
     \
      D - E
           \
            G - H - I [o/d]

Git should be able to figure this out using "patch ids" which are like commit ids, but they only check the content and none of the rest.  If it can't, try updating Git and see if that helps.  If it still can't do it, then you are in what the git-rebase docs calls "the hard case".  You'll have to spell out to Git which commits you want to rebase with --onto.  Fortunately, the reflog contains the previous location of the feature branch as f@{1} and you can use that for reference.
git rebase --onto f f@{1}

That says to rebase the current branch (d) onto f, but only rebase from d to f@{1} (which is where f used to be).

I have git pull --rebase aliased to git repull.  I do this almost exclusively, it's fairly safe and generally the right thing.  You can configure it as the default with git config --global pull.rebase true.
For further information, see Recovering From An Upstream Rebase in the git-rebase docs.


Continuing San Bernardino County's recognition at national levels, the County's Fleet Management Department received four awards at the Government Fleet Expo in Tennessee last month. The national "Leading Fleets Award" is an open competition to all 34,000 public entity fleets in the United States and Canada. All applicants are recognized but only the top 50 best fleets are named in the final round of competition. From the final 50, the top 20 receive numbered rankings. San Bernardino County's Fleet Management department placed 20th this year.
In conjunction with Government Fleet Magazine and the American Public Works Association, the awards program, sponsored by Ford Motor Company, recognizes fleet operations that are performing well in the areas of fleet leadership, efficiency, future goals planning and overcoming challenges.
The Fleet Management (SBC Fleet) department also received its "CleanFleet Certification, a national program certifying fleet operations as energy efficient and environmentally responsible. This program is the industry-recognized method of measuring and rewarding high maintaining standards in clean fleet management. Certification categories include hazardous waste generator identification, general waste management requirements and storage, recycled oil products and used oil management program, vehicle and equipment washing facilities, facility air quality, Freon management, contract repair work (outside services), product storage, facility management, administration and general management, including purchasing policies, vehicle replacement and carbon footprint, facility utilities and carbon footprint.
Additionally, SBC Fleet received its second certification as a "Certified Fleet Management Operation", from Government Fleet Management Alliance (GFMA). This program identifies fleets that are efficient and cost effective. With over 120 certification criteria addressing 20 critical operational areas of fleet management, SBC Fleet is one of 22 fleets certified in the nation. The certification process includes eight foundation categories: staffing and productivity, company and employee goals, mission statement and business plan, parts inventory management, replacement policy and financial program, fleet utilization management, fleet policy and procedures documentation, preventive maintenance program and customer service and level of support.
The fourth and final award, also presented by GFMA, is the "Master Certification" award, given to those fleets that are both "certified and CleanFleet" certified. There are only six public fleets in the United States and Canada which have achieved GFMA's Master level certification.
Earlier this year, SBC Fleet also placed 8th in the 100 Best Fleets in the Nation competition. This is the 12th year San Bernardino County Fleet Management has placed in the top 100 fleets in the nation and ranking as high as number two in the nation.


Stephen Collins Foster (July 4, 1826 � January 13, 1864), known as the "father of American music," was the pre-eminent songwriter in the United States of the 19th century. His songs, such as "Oh! Susanna", "Camptown Races", "My Old Kentucky Home", "Old Black Joe", "Beautiful Dreamer" and "Old Folks at Home" ("Swanee River") remain popular over 150 years after their composition. Foster was born in Lawrenceville, now part of Pittsburgh, Pennsylvania, and grew up as the youngest of ten children in a middle-class family that would eventually become near destitute after his father's fall into alcoholism. Foster's education included one month at college (Washington & Jefferson College) but little formal music training. Despite this, he published several songs before the age of twenty. His first, "Open Thy Lattice Love," appeared when he was 18. Stephen was greatly influenced by two men during his teenage years: Henry Kleber (1816-1897) and Dan Rice. The former was a classically trained musician who immigrated from the German city of Darmstadt and opened a music store in Pittsburgh, and who was among Stephen Foster�s few formal music instructors. The latter was an entertainer �- a clown and blackface singer, making his living in traveling circuses. These two very different musical worlds created a tension for the teenage Foster. Although respectful of the more civilized parlor songs of the day, he and his friends would often sit at a piano, writing and singing minstrel songs through the night. Eventually, Foster would learn to blend the two genres to write some of his best work.


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The SEC said the provision in the PDR issued to Omidyar that requires Rappler to first secure Omidyar's consent through 'good faith discussion' and approval by at least 'two-thirds of PDR holders' before any change can be made on the company's articles of incorporation is proof that foreign entities have control over the company.
There is another Rappler PDR, one held by North Base Media, but the SEC zeroed in on the ON PDR which contained the controversial paragraph 12.
On behalf of the Lao government and people, I would like to take this opportunity to convey my thanks and gratitude to the Government and people of the Republic of Macedonia for the support and assistance provided for Lao PDR in the struggle for independence, and national defense and construction.
From the results, it observed that the PSR and PDR were hard to decide about jamming and its types.
The Physicians' Desk Reference suite of services is available in the US in printed and eBook form, in workflow via eRx, EMR, and EHR providers, through PDR.
Off trackslow: Brunei, Cambodia, Indonesia, Lao PDR, Malaysia, Myanmar, Philippines (expected after 2030), Vietnam.
The results suggest that the risk of dry eye occurrence in patients with PDR is 4.
PDR is a leading workplace design firm working with organizations around the globe.
Kimihisa Imada, Deputy President of JCBI, said "We are very pleased to be able to strengthen our business in Lao PDR through the partnership with Phongsavan Bank Limited", while emphasizing the importance of Lao market where increasing numbers of people are coming from countries where JCB has a solid cardmember base such as China, Korea, and Thailand.
Nevertheless, the TTAB ruled against PDR in August, noting that the Cuban cigarmakers had standing after all--meaning that they can proceed with pursuing the cancellation of PDR's trademark registration.
3) In Thompson v Carter, the Mississippi Supreme Court held that the PDR represents prima facie proof of the proper use of a drug and that deviation from this information established negligence unless rebutted by the physician.
PDR Network and the Doctors Company have launched a national campaign to "educate physicians and improve their knowledge of ever-changing FDA-approved medication labeling.


text:
Petitions and More, March 26
http://action.endangered.org/p/dia/action3/common/public/?action_KEY=19052 Prosecute killers of endangered species!
https://petitions.moveon.org/sign/relist-wolves Needs 20,000 sign.
http://www.ipetitions.com/petition/safewiparks/ Act now. Safety in WI State Parks is Threatened. Act 168! Needs 10,000 sign.
http://environmental-action.webaction.org/p/dia/action3/common/public/?action_KEY=15377 ZIP=5 digits. Protect America's Wild Horses!
https://secure.nrdconline.org/site/Advocacy?cmd=display&page=UserAction&id=3989 Stop logging in the Broadback River valley wilderness!
http://www.peta.org/action/action-alerts/urgent-tell-miami-springs-halt-raccoon-massacre/ Send your letter!
http://www.peta.org/action/action-alerts/university-houston-clear-lake-stop-abusing-animals/
http://www.peta.org/action/action-alerts/congress-end-military-trauma-training-animals/ US-info
http://www.peta.org/action/action-alerts/urge-horse-racing-hall-fame-withdraw-nomination-trainer/
http://headlines.peta.org/help-americas-loneliest-elephants/#actnow 9 more to sign will follow
https://www.facebook.com/YouSignAnimals.org Login to Fb first
http://www.yousignanimals.org/Did-you-know-that-thousands-of-CATS-are-cooked-for-their-meat-in-China-Join-the-campaign-now-t-6320
http://www.yousignanimals.org/South-Africa-is-planning-to-allow-the-sale-of-DOG-and-CAT-meat-in-restaurants-Act-Now-t-6307
http://www.yousignanimals.org/British-teen-that-threw-dog-off-the-stairs-several-times-for-fun-will-not-spend-a-day-in-jail-SIGN-t-6318
http://www.yousignanimals.org/Demand-jail-time-for-owner-that-left-pet-dog-to-starve-with-muzzle-taped-shut-for-days-t-6319
http://www.yousignanimals.org/Cat-dragged-behind-moped-for-miles-by-laughing-driver-who-refused-to-stop-in-China-Act-Now-t-6316
http://www.yousignanimals.org/Justice-for-dog-poisoned-and-left-to-DIE-in-the-middle-of-the-street-by-city-workers-t-6306
http://www.yousignanimals.org/Punish-horse-instructor-that-enjoys-mistreating-animals-during-pricey-training-sessions-t-6317
http://www.yousignanimals.org/Sick-yob-blows-loud-vuvuzela-trumpet-in-dogs-years-for-laughs-Take-Action-Now-t-6315
https://www.facebook.com/PetitionHub.org Login to Fb first
http://www.sosvox.org/en/petitions.html Ingresa, login first. Peticiones. Choose your language. After signing, go back to 'Petitions', scroll down for the other Petitions
https://takeaction.takepart.com/actions/tell-the-u-s-fish-and-wildlife-service-to-protect-endangered-species More to sign afterwards
https://forcechange.com/154876/justice-for-dog-raped-and-hung-from-a-tree/
https://forcechange.com/154869/justice-for-dog-allegedly-shot-by-police/
https://forcechange.com/154796/stop-hunting-captive-lions-for-sport/
https://forcechange.com/154815/shut-down-abusive-roadside-zoo/
https://forcechange.com/154811/dogs-allegedly-bred-in-horrible-conditions-deserve-justice/
https://forcechange.com/154877/praise-city-for-banning-circuses-and-puppy-mills/
https://forcechange.com/154858/success-dynamite-ends-use-of-angora-fur/
https://forcechange.com/154826/success-another-major-retailer-bans-fur/
https://forcechange.com/154854/praise-groundbreaking-plan-to-save-rhinos-from-extinction/
https://forcechange.com/category/environment/ More
http://www.panna.org/take-action/dear-epa-protect-bees-pesticides-and-fast
http://action.biologicaldiversity.org/p/dia/action3/common/public/?action_KEY=17434 End All New Offshore Oil and Gas Leasing in U.S. Waters
https://www.change.org/p/electorate-office-josh-frydenberg-animals-australia-use-the-results-from-the-petition-as-evidence-from-general-public-to-help-stop-greyhound-cruelty-and-live-baiting
https://www.change.org/p/save-the-dogs-from-being-thrown-into-remote-forests-before-its-too-late-save-the-animals-from-being-thrown-into-forests-here-before-it-s-too-late India. Karnataka state. Ballari. In 2016, they have decided to shift the animals to remote areas where the animals die of starvation or get hit by heavy vehicles or get mauled by wild animals! As per the Supreme Court Order, and as per the PCA Act 1960, relocating the dogs is illegal!
http://chn.ge/25prikU Russia. Stop the mass baiting/killing/poisoning of dogs in Nizhny Tagil!
https://www.change.org/p/martin-schulz-no-alla-mattanza-di-cetacei-delle-isole-danesi-faore European Parliament, say No to the killing of cetaceans at the Danish Faroe Islands!
https://www.change.org/p/li-keqiang-ban-yulin-dog-and-cat-meat-festival
https://www.change.org/p/alan-grayson-save-abandoned-animals-in-the-florida-everglades
https://www.change.org/p/alaska-state-senate-remove-the-clause-exempting-competition-sled-dogs-from-alaska-s-animal-cruelty-laws
https://www.change.org/p/jadson-james-fran%C3%A7a-dos-santos-n%C3%A3o-vamos-deixar-assim-vamos-por-esse-monstro-atr%C3%A1s-das-grades-maior-pena-para-quem-maltrata-animais-j%C3%A1 Brazil. We will not rest, let's put this monster behind bars! More severe penalties for mistreating animals now!
https://www.change.org/p/presidente-de-la-naci%C3%B3n-mauricio-macri-eukanuba-royal-canin-frontline-dispensador-de-comida-y-agua-para-perros-callejeros-en-argentina Argentina. Food and water dispensers for stray dogs in Argentina
https://www.change.org/p/un-make-chinas-leaders-accountable-for-allowing-torture-of-dogs-and-cats
https://www.change.org/p/people-for-the-ethical-treatment-of-animals-peta-save-the-animals-in-yemen-zoo
( https://www.generosity.com/animal-pet-fundraising/help-starving-animals-in-abandoned-yemen-zoo-now—2 https://www.facebook.com/groups/214956758851114/ )
http://chn.ge/1obzxPP Russia. Punish those responsible for the slow, cruel death of a trusting Polar Bear by placing explosives in it's food!
http://chn.ge/1USrJ2c Russia. Justice for the brutal killing and poisoning of these pups by the 'guard' Victor!
https://www.change.org/p/people-for-the-ethical-treatment-of-animals-peta-animal-rights-campaigne-make-animal-rights-as-important-and-equal-as-human-rights
https://www.change.org/p/gobierno-de-la-provincia-de-c%C3%B3rdoba-fin-de-la-tracci%C3%B3n-a-sangre-en-toda-la-provincia-de-c%C3%B3rdoba-argentina Argentina. Province of Córdoba. End the Horse blood drive! Replace the animals by mechanical means and retrieve them, to be protected by the state!
https://www.change.org/p/facebook-remove-ban-game-fit-working-dogs-group-from-facebook-for-openly-promoting-dog-fighting
https://www.change.org/p/indian-army-stop-euthanizing-man-s-best-friend-after-a-life-of-service-to-the-nation
https://www.change.org/p/ministry-of-defence-stop-animal-euthanasia-in-defence-forces
https://www.change.org/p/last-chance-for-animals-or-www-lcanimals-org-ban-puppy-mills-in-the-us
https://www.change.org/p/help-veterans-with-ptsd-gain-access-to-service-dogs
https://www.change.org/p/ajuntament-reus-cat-no-a-la-matanza-masiva-de-aves Spain. No to the mass slaughter of birds in the city of Reus (Tarragona); they continue to kill pigeons, herons, starlings, parrots, finches, etc. by very cruel methods, leaving them to die; ignoring 4 years of proposals and requests of ACTYMA to implement a humane control method!
https://www.change.org/p/shoprite-stop-selling-eggs-from-cruel-cage-farms
https://www.change.org/p/njspca-shut-down-pet-shop-in-newark-nj
https://www.change.org/p/chief-minister-of-karnataka-why-veterinary-doctors-are-neglected-in-karnataka-state-and-being-paid-very-less
https://www.change.org/p/people-for-the-ethical-treatment-of-animals-peta-dogs-cant-speak-up-so-we-should
https://www.change.org/p/o-governador-do-estado-de-s%C3%A3o-paulo-vamos-impedir-o-desmatamento-de-15-hectares-de-%C3%A1rea-de-prote%C3%A7%C3%A3o-ambiental-pela-sabesp Brazil. Sao Paulo. Let's stop the deforestation of 15 hectares of protected area by SABESP!
https://www.change.org/p/pakistan-environmental-protection-agency-dr-muhammad-khurshid-ban-fire-sky-floating-lanterns-in-pakistan
https://www.change.org/p/fernando-haddad-vamos-tornar-a-reciclagem-do-nosso-lixo-obrigat%C3%B3ria-663f636f-82b8-4c1d-b0ba-8fc94661b2c4 Brazil. Sao Paulo. Make recycling our garbage mandatory!
http://www.thepetitionsite.com/takeaction/204/651/055/ Justice for Spike the friendly dog: fire NYPD policeman who shot him for no reason!
http://www.thepetitionsite.com/takeaction/226/250/011/ Justice for Baby the Bulldog!
http://www.thepetitionsite.com/290/863/329/stop-annual-pregnant-whale-massacre-by-japanese-ships/
http://www.thepetitionsite.com/325/878/258/save-this-near-threatened-foxs-genes-to-save-it-from-extinction/
http://www.thepetitionsite.com/231/326/357/metro-stop-selling-rabbit-meat/
http://www.thepetitionsite.com/118/466/970/require-kirby-and-bambi-van-burch-tigers-lions-panthers-have-a-large-natural-area/
http://www.thepetitionsite.com/758/730/578/clean-up-the-indian-river-lagoon/
http://www.thepetitionsite.com/takeaction/936/889/249/ No More Offshore Oil and Gas Drilling
http://www.thepetitionsite.com/750/411/251/demand-sustainable-energy-in-india/
http://www.thepetitionsite.com/604/926/564/montreal-we-support-banning-bottled-water/
========== News and more ========
http://www.onegreenplanet.org/channel/animalsandnature/
http://www.onegreenplanet.org/news/chi-chi-the-pup-rescued-from-the-meat-trade-is-happiest-dog-around/
https://www.thedodo.com/pets/
Stop issuing permits for further roundup's of Albe...
Serbia, Nis, urgent letter to send!
Petitions and More, March 9
India. Do NOT declare many species of wild animals...


text:
Q: Flutter Calendar - Showing custom data on days not works well I´m using flutter with a calendar carousel (https://pub.dev/packages/flutter_calendar_carousel)
For each day for which there is an entry in the database, I want to display an icon in the calendar. What is the best way to do this?
That´s my current code:
Please check the part with the customDayBuilder
class _CalendarScreenState extends State<CalendarScreen> {
  DateTime _currentDate;

  openNewEntryDialog(BuildContext context, date) {
    setState(() {
      _currentDate = date;
    });
    showBarModalBottomSheet(
        context: context,
        builder: (BuildContext context, scrollController) {
          return AddCalendarEntry(
            scrollController: scrollController,
            currentDate: _currentDate,
          );
        });
  }

  @override
  Widget build(BuildContext context) {
    final calendarEntriesData = Provider.of<CalendarEntries>(context);

    void initState() {
      _currentDate = widget._currentDate;
      super.initState();
    }

    dayPressed(date, events) {
      this.setState(() => _currentDate = date);
    }

    return Material(
        child: CupertinoPageScaffold(
            backgroundColor: Colors.white,
            navigationBar: CupertinoNavigationBar(
              trailing: IconButton(
                  icon: Icon(Icons.add),
                  color: Colors.white,
                  onPressed: () => openNewEntryDialog(context, DateTime.now())),
              middle: Text("Juni 2020",
                  style: Theme.of(context).appBarTheme.textTheme.headline1),
              backgroundColor: Theme.of(context).primaryColor,
            ),
            child: Padding(
              padding: const EdgeInsets.only(left: 15.0, right: 15.0),
              child: Column(
                children: <Widget>[
                  Expanded(
                    child: CalendarCarousel(
                      markedDateIconBorderColor: Theme.of(context).primaryColor,
                      weekdayTextStyle:
                          TextStyle(color: Theme.of(context).primaryColor),
                      daysTextStyle:
                          TextStyle(color: Theme.of(context).primaryColor),
                      todayButtonColor: Theme.of(context).primaryColor,
                      weekendTextStyle: TextStyle(color: Colors.black),
                      locale: "de",
                      selectedDayButtonColor: Colors.grey.shade100,
                      selectedDateTime: _currentDate,
                      headerTextStyle: TextStyle(
                          color: Theme.of(context).primaryColor, fontSize: 25),
                      onDayPressed: (DateTime date, List<Event> events) =>
                          dayPressed(date, events),
                      onDayLongPressed: (DateTime date) =>
                          openNewEntryDialog(context, date),
                      customDayBuilder: (bool isSelectable,
                          int index,
                          bool isSelectedDay,
                          bool isToday,
                          bool isPrevMonthDay,
                          TextStyle textStyle,
                          bool isNextMonthDay,
                          bool isThisMonthDay,
                          DateTime day) {
                        return FutureBuilder(
                            future: calendarEntriesData.getAll(),
                            builder: (BuildContext context,
                                AsyncSnapshot<List<CalendarEntry>> snapshot) {
                              if (!snapshot.hasData ||
                                  snapshot.connectionState ==
                                      ConnectionState.waiting) {
                                return Center(
                                  child: CircularProgressIndicator(),
                                );
                              } else {
                                for (final entry in snapshot.data) {
                                  var temp =
                                      DateTime.parse(entry.dateTime).toUtc();
                                  var d1 = DateTime.utc(
                                      temp.year, temp.month, temp.day);
                                  var d2 = DateTime.utc(
                                      day.year, day.month, day.day);
                                  if (d2.compareTo(d1) == 0) {
                                    return Center(
                                        child: Icon(Icons.local_airport));
                                  }
                                }
                              }
                            });
                      },
                    ),
                  ),
                  Expanded(
                      flex: 1,
                      child: Container(
                          margin: EdgeInsets.only(top: 35),
                          child: FutureBuilder<List<CalendarEntry>>(
                              future: calendarEntriesData
                                  .getCurrentMonthEntries(_currentDate != null
                                      ? _currentDate
                                      : DateTime.now()),
                              builder: (BuildContext context,
                                  AsyncSnapshot<List<CalendarEntry>> snapshot) {
                                if (!snapshot.hasData ||
                                    snapshot.connectionState ==
                                        ConnectionState.waiting) {
                                  return Center(
                                    child: CircularProgressIndicator(),
                                  );
                                } else {
                                  return Container(
                                      height: 100,
                                      child: ListView.builder(
                                          itemCount: snapshot.data.length,
                                          itemBuilder: (BuildContext context,
                                              int index) {
                                            return ListTile(
                                              title: Text(snapshot
                                                  .data[index].servicePartner
                                                  .toString()),
                                              subtitle: snapshot.data[index]
                                                          .dateTime ==
                                                      null
                                                  ? Text("Unbekannt")
                                                  : Text(DateFormat(
                                                          "dd.MM.yyyy")
                                                      .format(DateTime.parse(
                                                          snapshot.data[index]
                                                              .dateTime))),
                                              trailing: Text((snapshot
                                                              .data[index]
                                                              .minutes /
                                                          60)
                                                      .toString() +
                                                  " Stunden"),
                                            );
                                          }));
                                }
                              })))
                ],
              ),
            )));
  }
}

How you can see, I´m using a FutureBuilder to check all database entries. And if a day matches, I show an Icon on this day. This works in general, but

*

*I have some errors on the screen

*The performance is very bad, because there is some flickering..for each click on another day the widget renders completely. I don´t want this.

How could I improve my code? How could I do this better?
Thanks so much for your help!

A: Please use the button and button style for this to generate a clickable.
Also resolved your issue.
    Widget renderDay(
    bool isSelectable,
    int index,
    bool isSelectedDay,
    //bool isToday,
    bool isPrevMonthDay,
    TextStyle? textStyle,
    TextStyle defaultTextStyle,
    bool isNextMonthDay,
    bool isThisMonthDay,
    DateTime now,
  ) {
    final EventList<T>? markedDatesMap = widget.markedDatesMap;
    List<Event> markedEvents =
        widget.markedDatesMap!.getEvents(now) as List<Event>? ?? [];
    return Container(
      child: ElevatedButtonTheme(
        data: ElevatedButtonThemeData(
          style: ButtonStyle(
            side: MaterialStateProperty.resolveWith<BorderSide>((states) =>
                BorderSide(
                    color: ColorConstants.WHITE)),
            backgroundColor: MaterialStateProperty.resolveWith<Color>(
              (states) => markedEvents.length > 0 &&
                      !isPrevMonthDay &&
                      !isNextMonthDay
                  ? _getStatusColor(
                      markedEvents[0].dayStatus!.toLowerCase())
                  : isSelectedDay && widget.selectedDayButtonColor != null
                      ? widget.selectedDayButtonColor
                      : widget.dayButtonColor,
            ),
            shape: MaterialStateProperty.resolveWith<OutlinedBorder>((_) {
              return RoundedRectangleBorder(
                  borderRadius: BorderRadius.circular(80));
            }),
            textStyle: MaterialStateProperty.resolveWith<TextStyle>(
                (states) =>
                    TextStyle(color: ColorConstants.BUTTON_BG_COLOR)),
            padding: MaterialStateProperty.all(
              EdgeInsets.all(widget.dayPadding),
            ),
          ),
        ),
        child: ElevatedButton(
          onPressed:
              widget.disableDayPressed ? null : () => _onDayPressed(now),
          child: Stack(
            children: <Widget>[
              getDayContainer(
                  isSelectable,
                  index,
                  isSelectedDay,
                  // isToday,
                  isPrevMonthDay,
                  textStyle,
                  defaultTextStyle,
                  isNextMonthDay,
                  isThisMonthDay,
                  now),
            ],
          ),
        ),
      ),
    );
  }


text:
Data Reveals Holiday Starved Brits To Splash Out Billions As Green Light Destinations Are Revealed
Hot Rainbows May 17, 2021
Brits are set to splash out a whopping £4 billion on trips to green light destinations this summer, new analysis has revealed.
While many holidaymakers missed out on a summer break abroad last year, new data suggests more than 3.2 million Brits will jet off this year to the countries set out in the latest travel announcement from the Government after May 17th when it comes into force.
The prediction, comes based off analysis by travel health experts Practio, which analysed 10 years of historic Office for National Statistics data, looking at every single trip made out of the country by UK citizens. Researchers at Practio have been able to forecast the holiday destinations set to benefit the most from Britain's express vaccine rollout.
The data predicted the amount Brits were due to spend in green light countries, Israel, Australia, Gibraltar, New Zealand, Portugal and Iceland as £3,008,316,056.38, but with holidays mostly cancelled in 2020, the pent up demand means that number could be significantly higher.
Portugal looks set to benefit the most from the lift in restrictions as the popular sun spot is set to rake in £2,028,178,240.05 from British travellers alone this year, with £706 spent on average per visit.
The full data for current green list countries can be found below with 2021 predictions for all countries here.
Predicted SUM of expend SUM of visits Spend per visit
country 2021 2021 2021
Australia £479,563,013.39 141,371.99 £3,392.21
Gibraltar £26,725,994.11 81,260.88 £328.89
Iceland £507,866,302.80 354,925.58 £1,430.91
Israel £104,962,435.77 129,104.66 £813.00
New Zealand £131,149,619.09 47,886.47 £2,738.76
Portugal £2,028,178,240.05 2,872,683.97 £706.02
Commenting on the research, Dr Jonas Nilsen, managing director and co-founder of Practio said:
"We wanted to pull this exhaustive research together to understand UK travel trends over the past ten years, but also to give us an idea of what this means for travel in the future. Travel was mostly out of the question in 2020 and many of us are hoping for its return in 2021. By predicting future trends, we can better equip travellers and businesses that thrive off tourism by helping them to prepare for what's to come and how they can make the most of Brits' travel habits.
"It's also been great to see some of the emerging trends and how travel is changing, we're seeing the go-to destinations start to change with more money being spent in countries further afield, which should be a good sign for the future of the travel industry beyond the pandemic."
37.5+ million copies of Xbox's best-selling games wasted, according to fans
Pesto Eggs or Cloud Bread? New Data Reveals TikTok's Most Popular Food Trend


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