Data visualization with Matplolib & pandas

First of all download latest version of python :-

from website

https://www.python.org/downloads/

& install python.

Step 1:- create folder okpython in your d: drive then open command prompt and type following commands as shown below:-

step 2:- Setup Virtual Environment

D;\okpython> python -m venv env

Step 3:- to activate virutal enviornment

Step 4:- To install matplotlib type command pip install matplotlib as shown below :-

step 5:- open your editor (visual studio code ) and type following code as shown below and save file name as m1.py :-

import matplotlib.pyplot as plt
import numpy as np

xpoints = np.array([0, 6])
ypoints = np.array([0, 250])

plt.plot(xpoints, ypoints)
plt.show()

step 6:- in your command prompt type following command to run this file as shown below :-

Output you will see :-

after this to read csv file we need to install pandas as shown below

using command pip install pandas

after it download csv file form link :-

https://geocities.ws/ommauryasir/python/data.csv

and keep this data.csv file under your okpython folder

and write following code in filename p1.py inside your okpython folder :-

p1.py file code :-

import pandas as pd
import matplotlib.pyplot as plt

df = pd.read_csv('data.csv')

df.plot()

plt.show()

output:-

Scatter Plot :-

Specify that you want a scatter plot with the kind argument:

kind = 'scatter'

A scatter plot needs an x- and a y-axis.

In the example below we will use "Duration" for the x-axis and "Calories" for the y-axis.

Include the x and y arguments like this:

x = 'Duration', y = 'Calories'

write following example code py2.py file :-

import pandas as pd
import matplotlib.pyplot as plt

df = pd.read_csv('data.csv')

df.plot(kind = 'scatter', x = 'Duration', y = 'Calories')

plt.show()

output:-

Histogram:-

Use the kind argument to specify that you want a histogram:

kind = 'hist'

A histogram needs only one column.

A histogram shows us the frequency of each interval, e.g. how many workouts lasted between 50 and 60 minutes?

In the example below we will use the "Duration" column to create the histogram:-

Now write code for p3.py file as shown below :-

import sys
import matplotlib
matplotlib.use('qtagg')

import pandas as pd
import matplotlib.pyplot as plt

df = pd.read_csv('data.csv')

df["Duration"].plot(kind = 'hist')

plt.show()

Output:-

Django