import pandas as pd import numpy as np

Exercise: # Create a figure and axes fig, ax = plt.subplots() # Plot the distribution of data sns.distplot(df['fmr_3'], ax=ax) # Create a more descriptive x axis label ax.set(xlabel="3 Bedroom Fair Market Rent") # Show the plot plt.show() ------------------------------ # Create a figure and axes fig, ax = plt.subplots() # Plot the distribution of 1 bedroom rents sns.distplot(df['fmr_1'], ax=ax) # Modify the properties of the plot ax.set(xlabel="1 Bedroom Fair Market Rent", xlim=(100,1500), title="US Rent") # Display the plot plt.show() ------------------------------- # Create a figure and axes. Then plot the data fig, ax = plt.subplots() sns.distplot(df['fmr_1'], ax=ax) # Customize the labels and limits ax.set(xlabel="1 Bedroom Fair Market Rent", xlim=(100,1500), title="US Rent") # Add vertical lines for the median and mean ax.axvline(x=df['fmr_1'].median(), color='m', label='Median', linestyle='--', linewidth=2) ax.axvline(x=df['fmr_1'].mean(), color='b', label='Mean', linestyle='-', linewidth=2) # Show the legend and plot the data ax.legend() plt.show() ------------------------------- # Create a plot with 1 row and 2 columns that share the y axis label fig, (ax0, ax1) = plt.subplots(nrows=1, ncols=2, sharey=True) # Plot the distribution of 1 bedroom apartments on ax0 sns.distplot(df['fmr_1'], ax=ax0) ax0.set(xlabel="1 Bedroom Fair Market Rent", xlim=(100,1500)) # Plot the distribution of 2 bedroom apartments on ax1 sns.distplot(df['fmr_2'], ax=ax1) ax1.set(xlabel="2 Bedroom Fair Market Rent", xlim=(100,1500)) # Display the plot plt.show()