Python 3.7.5 : The Pygal python package.

Today's tutorial aims to get data from a URL and display it with the Pygal python package.
I believe that global warming is a very important topic for human evolution.
You can read more about this topic on this website.
About this python package you can learn more at the official website.

[mythcat@desk ~]$ pip3 install Pygal --user
Collecting Pygal
...
Installing collected packages: Pygal
Successfully installed Pygal-2.4.0

Let's test this python package with this script:

import pygal
import pandas as pd
import numpy as np
URL = 'https://data.giss.nasa.gov/gistemp/graphs/graph_data/
Global_Mean_Estimates_based_on_Land_and_Ocean_Data/graph.txt'

df = pd.read_fwf(
    URL,
    skiprows=(0,1,2,4),
    index_col=0,
)
print(df.head)

year_data = df['No_Smoothing']
print(year_data.head)
one_chart = pygal.Bar()
one_chart.title = "Land-Ocean Temperature Index (C)"
one_chart.add("",year_data)
one_chart.render_in_browser()

The result is this output: