Pandas 中非“NaN”值的索引

python
import pandas as pd
import numpy as np
# 创建一个包含NaN值的DataFrame
df = pd.DataFrame({'A': [1, 2, np.nan, 4, 5],
                   'B': [np.nan, 2, 3, np.nan, 6]})
# 获取非NaN值的索引
index = df['A'].notna()
print(index)

0     True
1     True
2    False
3     True
4     True
Name: A, dtype: bool

python
import pandas as pd
import numpy as np
# 创建一个包含NaN值的DataFrame
df = pd.DataFrame({'A': [1, 2, np.nan, 4, 5],
                   'B': [np.nan, 2, 3, np.nan, 6]})
# 将所有NaN值填充为0
df = df.fillna(0)
print(df)

     A    B
0  1.0  0.0
1  2.0  2.0
2  0.0  3.0
3  4.0  0.0
4  5.0  6.0