There is seaborn graph code sns.factorplot(x='date', y='rating', col='hotel', data=hotels_rating, col_wrap=3, kind='bar') plt.suptitle('hotel rating change',size=16) plt.subplots_adjust(top=.925) Limit the height of the columns on the y-axis to 3

# Import packages
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns

# Initialize the figure
f, ax = plt.subplots(figsize=(6.5, 6.5))

# Load the example car crash dataset
crashes = sns.load_dataset("car_crashes").sort_values("total", ascending=False)

# Plot the total crashes
sns.set_color_codes("pastel")
sns.barplot(x="total", y="abbrev", data=crashes,
            label="Total", color="b")

# Plot the crashes where alcohol was involved
sns.set_color_codes("muted")
sns.barplot(x="alcohol", y="abbrev", data=crashes,
            label="Alcohol-involved", color="b")

# Add a legend and informative axis label
ax.legend(ncol=2, loc="lower right", frameon=True)
ax.set(x