Python基础(十一) | 超详细的Pandas库三万字总结(三)

11.4 缺失值处理

1、发现缺失值

import pandas as pd
import numpy as np

data = pd.DataFrame(np.array([[1, np.nan, 2],
                              [np.nan, 3, 4],
                              [5, 6, None]]), columns=["A", "B", "C"])
data

<style scoped> .dataframe tbody tr th:only-of-type { vertical-align: middle; }

.dataframe tbody tr th {
    vertical-align: top;
}

.dataframe thead th {
    text-align: right;
}

</style>

A B C
0 1 NaN 2
1 NaN 3 4
2 5 6 None
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