Python Matplotlib for graphs to MySQL Connection

This is the most popular graphing and data visualization library of Python. We can install by using pip or using conda.

pip install matplotlib

conda install -c conda-forge matplotlib

Simple graphs Metplotlib Graph

import matplotlib.pyplot as plt
x=[1,2,3,4,5]
y=[2,1,5,7,3]
plt.plot(x,y)    
plt.show()

Adding more features to graph

xlable() : Add Lable to X axis
ylable() : Add Lable to Y axis
title() : Add a title to your graph
grid() : Add grid to graph , plt.grid(True,color='#f1f1f1')
legend(): Show legend on graph Metplotlib Graph example

from matplotlib import pyplot as plt
x = [2,5,7]
y = [2,16,4]
plt.plot(x,y,label='my data')
plt.title('plus2net Info')
plt.ylabel('Y axis')
plt.xlabel('X axis')
plt.legend()
plt.grid(True,color='#f1f1f1')
plt.show()

Note : To show legend , you must add label to your plot()
One of the important method is plot(), here are different parameters can be used with plot()

plt.plot(x,y,'g',label='my data', linewidth=4)

Pie Chart

import matplotlib.pyplot as plt

classes = 'Four', 'Five', 'Six', 'Seven'
sizes = [30, 50, 40, 60]
explode = (0, 0, 0.1, 0)  
# only "explode" the 3rd slice (i.e. 'Six')

plt.pie(sizes, explode=explode, autopct='%1.1f%%',
        labels=classes,shadow=True, startangle=90)

plt.title("Distribution of Classes")
plt.show()

Bar Chart

import matplotlib.pyplot as plt

classes = 'Four', 'Five', 'Six', 'Seven'
sizes = [30, 50, 40, 60]

plt.bar([.5,1.5,2.5,3.5], sizes,width=.5)
plt.title("Distribution of Classes")
plt.show()

import matplotlib.pyplot as plt

classes = 'Four', 'Five', 'Six', 'Seven'
sizes = [30, 50, 40, 60]
marks=[50,70,65,50]

plt.bar([.5,1.5,2.5,3.5], sizes,width=.25,
        label='size')
plt.bar([.75,1.75,2.75,3.75], marks,
        width=.25,label='mark',color='r')

plt.legend()
plt.title("Distribution of Classes")
plt.show()

Histogram

Shows the frequency of distribution of data. Here we will see how marks are obtained at different rages . Here we can see more marks are obtained by the students in the range 50 to 60. Metplotlib histogram chart example

import matplotlib.pyplot as plt
range = [30,40,50,60,70,80,90,100]
marks = [35,55,78,46,48,55,79,95,55,58,65]
plt.hist(marks,range,label='mark',
    color='r', histtype='bar', rwidth=0.8)

plt.legend()
plt.title("Distribution of Classes")
plt.show()

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