Question: I am a cave man in terms of web ui - I like it all without npm/nodejs and other nice infrastructure. I want it all in text files like in old days: include/link stuff from/to a HTML page and it's done. Is such cave approach possible for semantic-ui+ReactJS combination, meaning to have no npm/nodes/other server code for my front end to work?

Answer: 
A way to do this is to use dataframes with pandas.

```
import pandas as pd
import matplotlib.pyplot as plt
import matplotlib.dates as mdates

df = pd.read_csv("D:\Programmes Python\Data\Data_csv.txt",sep=";")  #Reads the csv
df.index = pd.to_datetime(df["DateTime"]) #Set the index of the dataframe to the DateTime column
del df["DateTime"] #The DateTime column is now useless

fig, ax = plt.subplots()
ax.plot(df.index,df["Issue_Type"])
ax.xaxis.set_major_formatter(mdates.DateFormatter('%m'))  #This will only show the month number on the graph

```

This assumes that Issue1/2/3 are integers, I assumed they were as I didn't really understand what they were supposed to be.

**Edit:** This should do the trick then, it's not pretty and can probably be optimised, but it works well:

```
import pandas as pd
import matplotlib.pyplot as plt
import matplotlib.dates as mdates

df = pd.read_csv("D:\Programmes Python\Data\Data_csv.txt",sep=";")
df.index = pd.to_datetime(df["DateTime"])
del df["DateTime"]
list=[]
for Issue in df["Issue_Type"]:
    list.append(int(Issue[5:]))
df["Issue_number"]=list

fig, ax = plt.subplots()
ax.plot(df.index,df["Issue_number"])
ax.xaxis.set_major_formatter(mdates.DateFormatter('%m'))
plt.show()

```
honestly, I would just use R. [check this link out](http://www.ics.uci.edu/~jutts/110/InstallingRandRStudio.pdf) on downloading / setting up R & RStudio. 

```
data <- read.csv(file="c:/yourdatafile.csv", header=TRUE, sep=",")
attach(data)
data$Month <- format(as.Date(data$DateTime), "%m")    
plot(DateTime, Issue_Type)

```