How to Add a Y-Axis Label to the Secondary Y-Axis in Matplotlib?

# Adding a Y-Axis Label to the Secondary Y-Axis in Matplotlib
# importing the libraries
import numpy as np
import matplotlib.pyplot as plt

# creating data for plot
# data arrangement between 0 and 50
# with the difference of 2
# x-axis
x = np.arange(0, 50, 2)

# y-axis values
y1 = x**2

# secondary y-axis values
y2 = x**3

# plotting figures by creating axes object
# using subplots() function
fig, ax = plt.subplots(figsize = (10, 5))
plt.title('Example of Two Y labels')

# using the twinx() for creating another
# axes object for secondary y-Axis
ax2 = ax.twinx()
ax.plot(x, y1, color = 'g')
ax2.plot(x, y2, color = 'b')

# giving labels to the axises
ax.set_xlabel('x-axis', color = 'r')
ax.set_ylabel('y1-axis', color = 'g')

# secondary y-axis label
ax2.set_ylabel('Secondary y-axis', color = 'b')

# defining display layout 
plt.tight_layout()

# show plot
plt.show()

# Adding a Y-Axis Label to the 
# Secondary Y-Axis in Matplotlib
# importing the libraries
import numpy as np
import matplotlib.pyplot as plt

# creating data for plot
# data arrangement between 0 and 50 with the difference of 2
# x-axis values
x = np.arange(0, 50, 2)

#y-axis values
y1 = x**2

# secondary y-axis values
y2 = x**3

# plotting figures by creating axes object
# using subplots() function
fig, ax = plt.subplots(figsize = (10, 5))
plt.title('Example of Two Y labels')

# using the twinx() for creating 
# another axes object for secondary y-Axis
ax2 = ax.twinx()
# creating a bar plot
ax.bar(x, y1, color = 'g')
ax2.bar(x, y2, color = 'b')

# giving labels to the axises
ax.set_xlabel('x-axis', color = 'r')
ax.set_ylabel('y1-axis', color = 'g')

# secondary y-axis label
ax2.set_ylabel('Secondary y-axis', color = 'b')

# defining display layout
plt.tight_layout()

# show plot
plt.show()

# Adding a Y-Axis Label to 
# the Secondary Y-Axis in Matplotlib
# importing the libraries
import pandas as pd
import matplotlib.pyplot as plt

#creating dataframe for plot
dataset = pd.DataFrame({'Name':['Rohit', 'Seema', 
                                'Meena', 'Geeta',
                                'Rajat'],
                        
                   'Height': [155,129,138,164,145],
                   'Weight': [60,40,45,55,60]})

# creating axes object and defining plot
ax = dataset.plot(kind = 'line', x = 'Name',
                  y = 'Height', color = 'Blue',
                  linewidth = 3)

ax2 = dataset.plot(kind = 'line', x = 'Name', 
                   y = 'Weight', secondary_y = True,
                   color = 'Red',  linewidth = 3,
                   ax = ax)

#title of the plot
plt.title("Student Data")

#labeling x and y-axis
ax.set_xlabel('Name', color = 'g')
ax.set_ylabel('Height', color = "b")
ax2.set_ylabel('Weight', color = 'r')

#defining display layout 
plt.tight_layout()

#show plot
plt.show()