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flights = sns.load_dataset("flights")
>>> flights = flights.pivot("month", "year", "passengers")
>>> ax = sns.heatmap(flights)
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import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
# See heatmap
df_crosstab = pd.crosstab(df["cat_colx"], df["cat_coly"],
values=df["num_col"], aggfunc="mean")
sns.heatmap(df_crosstab, annot=True, fmt="d", cmap="YlGnBu",
cbar=False, linewidths=.5, center=df_crosstab.loc[9, 6])
# See heatmap of correlation
sns.heatmap(df.corr(), cmap='YlGnBu')
# Rotate tick marks for visibility
plt.yticks(rotation=0)
plt.xticks(rotation=90)
plt.show() #Show the plot