Page 464 - AI Ver 3.0 class 10_Flipbook
P. 464
• Using plot()for creating Single bar
[1]: import matplotlib.pyplot as plt
import pandas as pd
# Create a DataFrame
d1={'Cities': ['Delhi','Mumbai' ,'Chennai','Kolkata'],'Day1': [30,25,36,20]}
df = pd. DataFrame(d1)
# Creating the bar chart
df.plot(x='Cities', y='Day1', kind='bar' )
# Adding labels and title
plt.xlabel('Metro Cities' )
plt.ylabel('Temp in Celsius')
plt.title('Temperature Study of the Day' )
# Displaying the chart
plt.show()
• Using plot()for creating Multiple bars
[1]: import matplotlib.pyplot as plt
import pandas as pd
# Create a DataFrame
d1={'cities':['Delhi','Mumbai','Chennai','Kolkata'], 'Day1':[30,25,36,20],
'Day2':[30,25,36,20],'Day3':[24,29,42,24]}
df = pd.DataFrame(d1)
df.set_index('cities', inplace=True)
df.plot(kind='bar')
plt.xlabel('Metro Cities')
plt.ylabel('Temp in Celsius')
plt.title('Temperature Study of the Day')
plt.show()
462 Touchpad Artificial Intelligence (Ver. 3.0)-X

