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question_id
int64 104k
42.1M
| parent_answer_post_id
int64 104k
42.1M
| prob
float64 0.23
0.87
| snippet
stringlengths 7
76
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34,705,205 | 34,705,233 | 0.869 |
sorted(l, key=lambda x: (-int(x[1]), x[0]))
|
Sort a nested list by two elements
|
34705205_34705233_0
|
Sort a list l of tuples. Each tuple has 2 elements, and the sorting is done with respect to the second one and from the greatest to the lowest value.
|
13,905,936 | 13,905,946 | 0.85267 |
[int(x) for x in str(num)]
|
converting integer to list in python
|
13905936_13905946_0
|
convert an integer num into a list of string digits
|
13,837,848 | 13,838,041 | 0.852143 |
c.decode('unicode_escape')
|
Converting byte string in unicode string
|
13837848_13838041_0
|
convert a byte string c into an unicode string
|
861,190 | 861,238 | 0.815429 |
mylist.sort(key=lambda d: (d['weight'], d['factor']))
|
Ordering a list of dictionaries in python
|
861190_861238_0
|
sort a list of dictionaries with respect to the keys 'weigth' and 'factor'.
|
33,361,446 | 33,361,777 | 0.807073 |
print([l[i:i + n] for i in range(len(l)) for n in range(1, len(l) - i + 1)])
|
Two Combination Lists from One List
|
33361446_33361777_0
|
print a list of all the sublists of a list l.
|
9,775,731 | 9,775,761 | 0.797127 |
max(min(my_value, max_value), min_value)
|
Clamping floating numbers in Python?
|
9775731_9775761_0
|
Return the value of a number my_value clipped between min_value and max_value
|
15,886,340 | 15,886,375 | 0.793709 |
re.sub('[^A-Z]', '', s)
|
How to extract all UPPER from a string? Python
|
15886340_15886375_0
|
regex to remove all the upper case characters in a string s
|
25,040,875 | 25,040,901 | 0.789484 |
[d['key'] for d in l]
|
Get a list of values from a list of dictionaries in python
|
25040875_25040901_0
|
For a list of dictionaries l, write a code snippet to return the list of values associated to the key 'key' for each of its element.
|
3,308,102 | 3,308,117 | 0.786179 |
[x[1] for x in elements]
|
How to extract the n-th elements from a list of tuples in python?
|
3308102_3308117_0
|
Extract the list of second elements from a list of tuples elements
|
652,291 | 652,347 | 0.775528 |
list.sort(key=lambda item: item['date'], reverse=True)
|
sorting a list of dictionary values by date in python
|
652291_652347_0
|
Reverse sort a list of dictionary list with respect to the value of the key 'date'.
|
4,111,412 | 4,111,417 | 0.77544 |
[i for i, e in enumerate(a) if e != 0]
|
How do I get a list of indices of non zero elements in a list?
|
4111412_4111417_0
|
Get the list of indices of non zero elements in the list a
|
4,287,209 | 4,287,233 | 0.774941 |
sorted(the_list, key=lambda x: int(x.split('_')[1]))
|
Sort list of strings by integer suffix in python
|
4287209_4287233_0
|
Sort a list of strings the_list with respect to the value of the suffix after the character '_'
|
41,067,960 | 41,067,989 | 0.739221 |
r = int(''.join(map(str, x)))
|
How to convert a list of multiple integers into a single integer?
|
41067960_41067989_0
|
Convert a list of integers x into a string r
|
34,962,104 | 34,962,199 | 0.735729 |
df['a'] = df['a'].apply(lambda x: x + 1)
|
Pandas: How can I use the apply() function for a single column?
|
34962104_34962199_0
|
Use the function apply to increment the values of the column 'a' of a pandas DataFrame df
|
3,494,906 | 3,495,395 | 0.73437 |
{k: v for d in L for k, v in list(d.items())}
|
How do I merge a list of dicts into a single dict?
|
3494906_3495395_0
|
Merge a list of dictionaries L into a single dictionary
|
12,814,667 | 12,814,719 | 0.733883 |
a.sort(key=lambda x: b.index(x))
|
How to sort a list according to another list?
|
12814667_12814719_0
|
Sort a list of elements a with respect to the index in a list b
|
7,996,940 | 7,997,011 | 0.732512 |
li1.sort(key=lambda x: not x.startswith('b.'))
|
What is the best way to sort list with custom sorting parameters in Python?
|
7996940_7997011_0
|
Sort a list of strings li1 such that those starting with 'b.' come first.
|
2,508,861 | 2,508,940 | 0.731841 |
int(num)
|
Python: Convert a string to an integer
|
2508861_2508940_0
|
convert a string num into an integer
|
1,386,811 | 1,386,828 | 0.728649 |
[int(s[i:i + 3], 2) for i in range(0, len(s), 3)]
|
Convert binary string to list of integers using Python
|
1386811_1386828_0
|
Given a binary string s, divide it into blocks of size 3 and return a list containing the decimal value corresponding to each block.
|
6,294,179 | 6,294,205 | 0.727966 |
indices = [i for i, x in enumerate(my_list) if x == 'whatever']
|
How to find all occurrences of an element in a list?
|
6294179_6294205_0
|
Given a list of string s, build the list of indices corresponding to the string 'whatever'.
|
16,772,071 | 16,772,088 | 0.726468 |
sorted(list(data.items()), key=lambda x: x[1])
|
sort dict by value python
|
16772071_16772088_0
|
Sort the items of the dictionary data by value
|
28,161,356 | 28,161,433 | 0.723997 |
df.sort_values(by='Date')
|
Sort Pandas Dataframe by Date
|
28161356_28161433_0
|
Sort a DataFrame df by the value of the column 'Date'
|
29,360,607 | 29,360,674 | 0.722502 |
print(' '.join(set(s)))
|
How does this function to remove duplicate characters from a string in python work?
|
29360607_29360674_0
|
print the string obtained by removing all the duplicate in a string s.
|
11,791,568 | 11,791,601 | 0.717945 |
[x for x in my_list if not x.startswith('#')]
|
What is the most pythonic way to exclude elements of a list that start with a specific character?
|
11791568_11791601_0
|
Remove the elements that start with '#' in the list my_list.
|
3,559,559 | 3,559,600 | 0.714482 |
newstr = oldstr.replace('M', '')
|
How to delete a character from a string using python?
|
3559559_3559600_0
|
Delete all the occurrence of the character 'M' in oldstr and store the result in the variable newstr.
|
4,880,960 | 4,880,971 | 0.701062 |
sum(d.values())
|
Sum of all values in a Python dict
|
4880960_4880971_0
|
Sum all the values of a python dict d
|
28,773,683 | 28,773,733 | 0.698927 |
pandas.concat([df1, df2], axis=1)
|
Combine two Pandas dataframes with the same index
|
28773683_28773733_0
|
Combine 2 pandas dataframes df1 and df2 with the same index.
|
35,582,959 | 35,582,986 | 0.698902 |
list(s)
|
How do I convert user input into a list?
|
35582959_35582986_0
|
Convert a string s into a list of characters.
|
1,094,717 | 1,094,721 | 0.698366 |
int(s.split('.')[0])
|
Convert a string to integer with decimal in Python
|
1094717_1094721_0
|
Convert a string s representing representing a decimal number to an integer.
|
2,191,699 | 2,191,712 | 0.697555 |
[(x, y) for x, y in a if x == 1]
|
Find an element in a list of tuples
|
2191699_2191712_0
|
Given a list of 2D tuples a, return the list of tuples for whom the first element is equal to 1.
|
6,890,170 | 6,890,255 | 0.696187 |
len(li) - 1 - li[::-1].index('a')
|
How to find the last occurrence of an item in a Python list
|
6890170_6890255_0
|
Find the index of the last occurrence of 'a' in the string li.
|
2,587,402 | 2,587,419 | 0.695257 |
xs.sort(key=lambda s: len(s))
|
Sorting Python list based on the length of the string
|
2587402_2587419_0
|
Sort a list of strings xs based on the length.
|
22,240,602 | 22,240,612 | 0.69463 |
len(set(mylist)) == 1
|
How do I check if all elements in a list are the same?
|
22240602_22240612_0
|
Check if all the elements of the list mylist are the same.
|
21,669,374 | 21,669,393 | 0.69411 |
hex(ord(c))
|
convert string to hex in python
|
21669374_21669393_0
|
Convert the char c into hex
|
22,749,706 | 22,749,723 | 0.692178 |
[len(x) for x in s.split()]
|
How to get the length of words in a sentence?
|
22749706_22749723_0
|
Get the length of each word in a sentence s
|
674,519 | 674,536 | 0.688835 |
[(k, v) for k, v in a.items()]
|
How can I convert a Python dictionary to a list of tuples?
|
674519_674536_0
|
Convert a Python dictionary a into a list of tuples
|
8,556,076 | 8,556,080 | 0.684711 |
my_list[-10:]
|
Python - How to extract the last x elements from a list
|
8556076_8556080_0
|
Extract the last 10 elements of the python list my_list
|
104,420 | 104,471 | 0.674376 |
itertools.permutations(s)
|
How to generate all permutations of a list in Python
|
104420_104471_0
|
Get all the permutations of a list s in python.
|
11,344,827 | 11,344,839 | 0.668318 |
sum(your_list)
|
Summing elements in a list
|
11344827_11344839_0
|
Sum elements of a list your_list
|
23,748,995 | 23,749,057 | 0.666899 |
df['a'].tolist()
|
Pandas DataFrame to list
|
23748995_23749057_0
|
Return the values of the column 'a' of the pandas DataFrame df into a list
|
42,125,131 | 42,125,197 | 0.664192 |
df.dropna(subset=['city', 'latitude', 'longitude'], how='all')
|
Delete row based on nulls in certain columns (pandas)
|
42125131_42125197_0
|
Delete null in the columns 'city', 'longitude' and 'latitude' of the dataframe df.
|
14,743,454 | 14,743,473 | 0.64028 |
[k for k, v in dictA.items() if v.count('duck') > 1]
|
Counting values in dictionary
|
14743454_14743473_0
|
Given a dictionary dictA return the list of keys whose values contain at least 2 occurrences of 'duck'
|
26,894,227 | 26,894,268 | 0.647453 |
sum(map(lambda x: x * x, l))
|
sum of squares in a list in one line?
|
26894227_26894268_0
|
Sum of squares in the list l
|
13,252,333 | 13,252,348 | 0.626962 |
all(isinstance(x, int) for x in lst)
|
Python check if all elements of a list are the same type
|
13252333_13252348_1
|
Check if all elements of a list lst are of type int.
|
4,843,173 | 4,843,178 | 0.616813 |
isinstance(s, str)
|
How to check if type of a variable is string?
|
4843173_4843178_0
|
Check if a variable s is a string.
|
5,864,485 | 5,864,507 | 0.614176 |
mystring.split(',')
|
How can I split this comma-delimited string in Python?
|
5864485_5864507_0
|
Split the string mystring by comma
|
18,256,363 | 18,256,476 | 0.613056 |
f = open('example.txt', 'r')
|
How do I print the content of a .txt file in Python?
|
18256363_18256476_1
|
Read a .txt file example.txt and store it into the variable f
|
32,490,629 | 32,490,661 | 0.749688 |
datetime.datetime.today().strftime('%Y-%m-%d')
|
Getting today's date in YYYY-MM-DD in Python?
|
32490629_32490661_0
|
Getting today's date in YYYY-MM-DD in Python with datetime
|
19,779,790 | 19,779,811 | 0.739086 |
datetime.datetime.now() - datetime.timedelta(days=1)
|
How to get yesterday in python
|
19779790_19779811_0
|
How to get yesterday's data in python with datetime?
|
521,502 | 521,510 | 0.729452 |
instance.__class__.__name__
|
How to get the concrete class name as a string?
|
521502_521510_0
|
Given an object named instance of a given class, get the class name as a string
|
3,428,769 | 3,428,785 | 0.704297 |
max(abs(x - y) for x, y in zip(values[1:], values[:-1]))
|
Finding the largest delta between two integers in a list in python
|
3428769_3428785_0
|
Find the largest delta between two integers in the list values in python
|
18,574,108 | 18,579,083 | 0.702526 |
df.to_xml('foo.xml')
|
How do convert a pandas/dataframe to XML?
|
18574108_18579083_0
|
Save the content of the pandas dataframe df into a file 'foo.xml'.
|
3,739,909 | 3,739,939 | 0.651989 |
s.replace(' ', '')
|
How to strip all whitespace from string
|
3739909_3739939_0
|
Strip all whitespace from a string s
|
5,245,058 | 5,245,216 | 0.648501 |
[line for line in open('text.txt') if 'apple' in line]
|
Python: Filter lines from a text file which contain a particular word
|
5245058_5245216_0
|
read the file 'text.txt' and store all the lines which contain the word 'apple' in a list.
|
28,538,536 | 37,069,701 | 0.635862 |
df.drop(['col1', 'col2'], axis=1, inplace=True)
|
Deleting mulitple columns in Pandas
|
28538536_37069701_0
|
Delete columns 'col1' and 'col2' from pandas dataframe df.
|
3,419,082 | 3,419,189 | 0.61457 |
np.savetxt('test.txt', data)
|
Write multiple numpy arrays to file
|
3419082_3419189_0
|
Save the numpy array data into a file 'test.txt'.
|
15,752,422 | 15,752,582 | 0.605945 |
df.set_index('month')
|
Python Pandas - Date Column to Column index
|
15752422_15752582_0
|
Find common elements to 2 lists x and y.
|
38,708,621 | 38,709,042 | 0.589873 |
np.isnan(a).sum()
|
How to calculate percentage of sparsity for a numpy array/matrix?
|
38708621_38709042_0
|
Find the number of NaN values in a numpy array a.
|
2,759,323 | 2,759,331 | 0.586185 |
os.listdir(path)
|
How can I list the contents of a directory in Python?
|
2759323_2759331_0
|
List the content of a directory given its path path.
|
6,490,560 | 6,490,586 | 0.50547 |
a = a[-1:] + a[:-1]
|
How do I move the last item in a list to the front in python?
|
6490560_6490586_0
|
Move the last item of the list a to the front in python
|
11,764,260 | 11,764,285 | 0.62482 |
arr[arr != 0].min()
|
How to find the minimum value in a numpy matrix?
|
11764260_11764285_0
|
Minimum non zero element in the numpy matrix arr
|
12,791,501 | 12,791,510 | 0.618933 |
x = [[] for i in range(3)]
|
Python initializing a list of lists
|
12791501_12791510_0
|
Create an list of 3 empty lists and store it in the variable x
|
14,352,621 | 14,352,657 | 0.450046 |
set(a).intersection(b)
|
compare if an element exists in two lists
|
14352621_14352657_0
|
Find the set of elements that are common to two lists a and b
|
32,030,343 | 32,030,456 | 0.432476 |
Y = X - X.mean(axis=1).reshape(-1, 1)
|
subtracting the mean of each row in numpy with broadcasting
|
32030343_32030456_0
|
Subtract the mean of each row from a numpy array X with broadcasting and store the result in a matrix Y.
|
15,715,912 | 15,716,103 | 0.431923 |
del l[-n:]
|
Remove the last N elements of a list
|
15715912_15716103_0
|
Delete the last n elements of a list l
|
6,490,560 | 6,490,608 | 0.428106 |
a.insert(0, a.pop())
|
How do I move the last item in a list to the front in python?
|
6490560_6490608_0
|
Given a python list a, move its last item to the front.
|
2,294,493 | 2,294,510 | 0.364759 |
s.find('r')
|
How to get the position of a character in Python?
|
2294493_2294510_0
|
Find the position of the character 'r' in the string s.
|
4,945,548 | 4,945,558 | 0.355587 |
print(s[1:])
|
Remove the first character of a string
|
4945548_4945558_0
|
print the string s but ommit the first character.
|
9,595,135 | 9,595,161 | 0.354152 |
math.sqrt(x)
|
How to calc square root in python?
|
9595135_9595161_0
|
compute the square root of x by using the module math.
|
12,491,537 | 12,491,575 | 0.339451 |
[s[i:i + 2] for i in range(0, len(s), 2)]
|
Splitting a string into 2-letter segments
|
12491537_12491575_0
|
Split the string s into a list of 2-letter segments with contiguous letters.
|
3,392,354 | 31,972,583 | 0.329498 |
a = set()
|
python: append values to a set
|
3392354_31972583_1
|
Create a variable a and initialize it as an empty set.
|
1,724,473 | 1,724,485 | 0.314704 |
chr(ord('a') + i)
|
How could I print out the nth letter of the alphabet in Python?
|
1724473_1724485_0
|
Given an index i such that 0 <= i < 26, how to find the letter of the alphabet with that index?
|
16,202,348 | 16,202,486 | 0.305187 |
e / e.sum(axis=1, keepdims=True)
|
numpy divide row by row sum
|
16202348_16202486_0
|
Divide each row of a numpy array e by the row's sum.
|
448,837 | 448,901 | 0.305181 |
print('Hello, world!')
|
How do I create a webpage with buttons that invoke various Python scripts on the system serving the webpage?
|
448837_448901_0
|
Print 'Hello, world' in python.
|
6,789,927 | 9,262,736 | 0.288494 |
numpy.linalg.lstsq(a, b)
|
Is there a python module to solve linear equations?
|
6789927_9262736_0
|
Use numpy to computes the vector x that solves the equation ax = b
|
11,125,429 | 11,125,452 | 0.288242 |
a.shape
|
size of NumPy array
|
11125429_11125452_0
|
Get the shape of a numpy array a.
|
9,819,602 | 9,819,617 | 0.287713 |
dict(y, **x)
|
Union of dict objects in Python
|
9819602_9819617_1
|
Merge 2 dictionnaries x and y.
|
40,034,993 | 40,035,266 | 0.280603 |
np.multiply(a, b)
|
How to get element-wise matrix multiplication (Hadamard product) in numpy?
|
40034993_40035266_1
|
Write the element-wise matrix multiplication (Hadamard product) of 2 numpy arrays a and b.
|
2,050,637 | 2,050,649 | 0.276625 |
(s + mystring for s in mylist)
|
Appending the same string to a list of strings in Python
|
2050637_2050649_1
|
Given a list of strings stored as the variable mylist, append to each of its element the string mystring.
|
14,471,177 | 14,471,204 | 0.264702 |
s[-1].isdigit()
|
Python - Check if the last characters in a string are numbers
|
14471177_14471204_0
|
Check is the last element of the string s is a digit.
|
6,444,548 | 34,704,661 | 0.264574 |
width, height = img.size
|
How do I get the picture size with PIL?
|
6444548_34704661_1
|
Get the width and the height of the image image with the help of PIL.
|
20,309,255 | 20,309,271 | 0.262348 |
name += ' ' * (length - len(name))
|
How to pad a string to a fixed length with spaces in Python?
|
20309255_20309271_0
|
Pad the string name to length with spaces in Python.
|
12,555,443 | 12,555,492 | 0.230541 |
def square(arr):
return [(i ** 2) for i in arr]
|
Squaring all elements in a list
|
12555443_12555492_2
|
Write a function square_list which takes a list arr as argument and return the list obtained by squaring each of its elements.
|
473,099 | 473,108 | 0.229305 |
try :
my_dict[k] += 1
except :
my_dict[k] = 1
|
Check if a given key already exists in a dictionary and increment it
|
473099_473108_0
|
Given a dictionary my_dict, increment of the value of the key k if it exists. Otherwise set it to 1.
|
6,072,470 | 6,072,496 | 0.229009 |
d = dict(l)
|
Creating a Dictionary from a List of 2-Tuples
|
6072470_6072496_0
|
Create a dictionary d from a list of 2-Tuples l.
|
14,661,051 | 14,661,482 | 0.239257 |
json.dumps(my_dict)
|
Convert Python dictionary to JSON array
|
14661051_14661482_1
|
Convert the python dictionary my_dict to a JSON array.
|
20,297,332 | 20,297,639 | 0.250113 |
len(df.columns)
|
Python pandas dataframe: retrieve number of columns
|
20297332_20297639_0
|
Get the number of columns of a pandas dataframe df.
|
32,109,319 | 32,109,519 | 0.310411 |
(np.abs(x) + x) / 2
|
How to implement the ReLU function in Numpy
|
32109319_32109519_0
|
How to compute ReLU(x) where x is a numpy array?
|
40,587,251 | 40,587,319 | 0.713835 |
scipy.sparse.csr_matrix([column['rating'], column['user'], column['movie']])
|
How to create a ratings csr_matrix in scipy?
|
40587251_40587319_0
|
You are given a pandas dataframe column. Use scipy to build a csr_matrix out of the columns 'rating', 'user' and 'movie'.
|
1,456,617 | 1,456,645 | 0.709862 |
print(random.choice(words))
|
Return a random word from a word list in python
|
1456617_1456645_0
|
Given a list of string words, choose randomly one of them by using the module random in python.
|
27,905,295 | 27,905,350 | 0.709486 |
df.fillna(method='ffill', inplace=True)
|
How to replace NaNs by preceding values in pandas DataFrame?
|
27905295_27905350_0
|
Replace NaNs in the pandas dataframe df by using preceding values. Do it in place.
|
18,574,108 | 18,579,083 | 0.702526 |
df.to_xml('foo.xml')
|
How do convert a pandas/dataframe to XML?
|
18574108_18579083_0
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Save the pandas dataframe df in a xml file 'foo.xml'.
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14,688,391 | 14,693,358 | 0.675455 |
X_train = scaler.fit(X_train).transform(X_train)
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How to apply standardization to SVMs in scikit-learn?
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14688391_14693358_0
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With scikit-learn you have an variable scaler that is a StandardScaler, used it to apply standardization to the matrix X_train.
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23,748,995 | 23,749,057 | 0.666899 |
df['a'].tolist()
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Pandas DataFrame to list
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23748995_23749057_0
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Convert the column 'a' of the pandas dataframe df to a python list.
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41,821,112 | 41,821,169 | 0.665838 |
sum(x * y for x, y in list(zip(a, b)))
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How can I sum the product of two list items using for loop in python?
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41821112_41821169_0
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Sum the product of 2 list items x and y which have the same length.
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5,349,570 | 5,349,616 | 0.479303 |
numpy.prod(a)
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How can I get the product of all elements in a one dimensional numpy array
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5349570_5349616_0
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Get the product of all elements in a one dimensional numpy array a.
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5,228,383 | 5,228,392 | 0.479089 |
dist = sqrt((x2 - x1) ** 2 + (y2 - y1) ** 2)
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How do I find the distance between two points?
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5228383_5228392_0
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You have 2 points (x1, y1) and (x2, y2) in 2D, compute the distance between them.
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12,246,680 | 12,246,720 | 0.424306 |
np.hstack([X, Y])
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joining two numpy matrices
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12246680_12246720_0
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Merge two numpy arrays X and Y horizontally.
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20,459,536 | 20,459,839 | 0.397245 |
scipy.sparse.csr_matrix(df.values)
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Convert Pandas dataframe to Sparse Numpy Matrix directly
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20459536_20459839_0
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Convert pandas dataframe df to scipy sparse matrix.
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29,774,964 | 29,776,004 | 0.390449 |
max(n for n in range(1000) if str(n) == str(n)[::-1] and is_prime(n))
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Max Prime Palindrome in Python
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29774964_29776004_0
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You are provided with a function is_prime which takes a number as input and return True if it is prime and False otherwise. Return the biggest number < 1000 which is a prime numnber and a palindrome.
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