Data Visualization
With the combination of Numpy ,Pandas and Matplotlib we can draw the excellent type of graphical representation.
Basically data visualization is the way to understand complex and massive data in a better way.
Seaborn:
Seaborn is a visualization library of python(matplotlib).Seaborn gives the high quality interface drawing the understand the complex statistical problem
Python Chart Programs
Programs
#importing matplotlib pyplot library import matplotlib.pyplot as abc #importing seaborn whitegrid abc.style.use('seaborn-whitegrid') # uses figure fusion to draw figure a= abc.figure() # creating x and y axes b = abc.axes()
Output
Program 2
import numpy as np import matplotlib.pyplot as pl #creating array x = [1,2,4,5,6,7,8] #creating array y=[9,8,7,6,5,4,2] #simple plot plt.plot(x,y)
Output
[<matplotlib.lines.Line2D at 0x7f75fea46eb8>]
Labeling Graph
We can label the graph at x axes and y axes for better understanding.
import numpy as np import matplotlib.pyplot as pl #creating array x = [1,2,4,5,6,7,8] #creating array y=[9,8,7,6,5,4,2] pl.xlabel('Supply') pl.ylabel('Demand') #simple plot plt.plot(x,y)
Output
[<matplotlib.lines.Line2D at 0x7f75fe47bcc0>]
Here you can see the demand and Supply labels at x and y axes