Seaborn Learning 09: Heat Map

import matplotlib.pyplot as plt
import seaborn as sns

data = sns.load_dataset("flights")
print(data.head())
flights = data.pivot("month", "year", "passengers")  # 行索引，列索引，数据
print(flights.head())

f, ax = plt.subplots(figsize=(9, 6))
sns.heatmap(flights, annot=True, fmt="d", linewidths=.5, ax=ax)
plt.show()

operation result:

   year     month  passengers
0  1949   January         112
1  1949  February         118
2  1949     March         132
3  1949     April         129
4  1949       May         121
year      1949  1950  1951  1952  1953  ...  1956  1957  1958  1959  1960
month                                   ...                              
January    112   115   145   171   196  ...   284   315   340   360   417
February   118   126   150   180   196  ...   277   301   318   342   391
March      132   141   178   193   236  ...   317   356   362   406   419
April      129   135   163   181   235  ...   313   348   348   396   461
May        121   125   172   183   229  ...   318   355   363   420   472

display effect: