Python - Chart Stypng

The charts created in python can have further stypng by using some appropriate methods from the pbraries used for charting. In this lesson we will see the implementation of Annotation, legends and chart background. We will continue to use the code from the last chapter and modify it to add these styles to the chart.

Adding Annotations

Many times, we need to annotate the chart by highpghting the specific locations of the chart. In the below example we indicate the sharp change in values in the chart by adding annotations at those points.

import numpy as np 
from matplotpb import pyplot as plt 

x = np.arange(0,10) 
y = x ^ 2 
z = x ^ 3
t = x ^ 4 
# Labepng the Axes and Title
plt.title("Graph Drawing") 
plt.xlabel("Time") 
plt.ylabel("Distance") 
plt.plot(x,y)

#Annotate
plt.annotate(xy=[2,1], s= Second Entry ) 
plt.annotate(xy=[4,6], s= Third Entry ) 

Its output is as follows −

Adding Legends

We sometimes need a chart with multiple pnes being plotted. Use of legend represents the meaning associated with each pne. In the below chart we have 3 pnes with appropriate legends.

import numpy as np 
from matplotpb import pyplot as plt 

x = np.arange(0,10) 
y = x ^ 2 
z = x ^ 3
t = x ^ 4 
# Labepng the Axes and Title
plt.title("Graph Drawing") 
plt.xlabel("Time") 
plt.ylabel("Distance") 
plt.plot(x,y)

#Annotate
plt.annotate(xy=[2,1], s= Second Entry ) 
plt.annotate(xy=[4,6], s= Third Entry ) 
# Adding Legends
plt.plot(x,z)
plt.plot(x,t)
plt.legend([ Race1 ,  Race2 , Race3 ], loc=4) 

Its output is as follows −

Chart presentation Style

We can modify the presentation style of the chart by using different methods from the style package.

import numpy as np 
from matplotpb import pyplot as plt 

x = np.arange(0,10) 
y = x ^ 2 
z = x ^ 3
t = x ^ 4 
# Labepng the Axes and Title
plt.title("Graph Drawing") 
plt.xlabel("Time") 
plt.ylabel("Distance") 
plt.plot(x,y)

#Annotate
plt.annotate(xy=[2,1], s= Second Entry ) 
plt.annotate(xy=[4,6], s= Third Entry ) 
# Adding Legends
plt.plot(x,z)
plt.plot(x,t)
plt.legend([ Race1 ,  Race2 , Race3 ], loc=4) 

#Style the background
plt.style.use( fast )
plt.plot(x,z)

Its output is as follows −