Import pandas library.

   Load the sample data.

  Plot the variables, that you want to visualize.

#import libraries
import pandas as pd
import matplotlib.pyplot as plt

#load the sample data from iris.csv file
data = pd.read_csv(‘/home/soft50/soft50/Sathish/practice/iris.csv’)

#Make it as a data frame
df = pd.DataFrame(data)

#variable to plot
X = df[‘sepal_length’]
y = df[‘sepal_width’]

#plot Line Graph
X.plot()
plt.title(“Line Graph”)
plt.show()
print(“\n”)

#Bar chart
def Bar_chart(X):
X = X.sample(30)
X.plot.bar()
plt.title(“Bar chart”)
plt.show()
Bar_chart(X)
print(“\n”)

#Pie chart
def Pie_chart(X):
X = X.sample(30)
X.plot.pie()
plt.title(“Pie chart”)
plt.show()
Pie_chart(X)
print(“\n”)

#Area plot
a = df.iloc[:,0:5]
a.plot.area()
plt.title(“Area chart”)
plt.show()
print(“\n”)

#Histogram plot
a.plot.hist(bins=20)
plt.title(“Histogram”)
plt.show()
print(“\n”)

#Scatter plot
a.plot.scatter(x=’sepal_length’,y=’sepal_width’)
plt.title(“Scatter plot”)
plt.show()
print(“\n”)

#Stacked Bar chart
def Stacked_Bar_chart(X):
X = X.sample(15)
X.plot.barh(stacked=True)
plt.title(“Stacked Bar chart”)
plt.show()
Stacked_Bar_chart(a)
print(“\n”)