import pandas as pd

# 删除含有空数据的全部行

df4 = pd.read_csv(‘4.csv’,  encoding=’utf-8′)

df4 = df4.dropna()

# 可以通过axis参数来删除含有空数据的全部列

df4 = df4.dropna(axis=1)

# 可以通过subset参数来删除在age和sex中含有空数据的全部行

df4 = df4.dropna(subset=[“age”, “sex”])

print(df4)

df4 = df4.dropna(subset=[‘age’, ‘body’,’home.dest’])