Question

我正在按行计算唯一值。但是我想排除值0，然后计算唯一性

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预期产量

d = {'col1': [1, 2, 3], 'col2': [3, 4, 0], 'col3': [0, 4, 0],}
df = pd.DataFrame(data=d)
df

    col1    col2    col3
0   1       3       0
1   2       4       4
2   3       0       0

col1 col2 col3 uniques 0 1 3 0 2 1 2 4 4 2 2 3 0 0 1，其中包括所有值

Answer 1

为此，您可以简单地用Nan值替换零。

import pandas as pd
import numpy as np
d = {'col1': [1, 2, 3], 'col2': [3, 4, 0], 'col3': [0, 4, 0]}
df = pd.DataFrame(data=d)
df['uniques'] =  df.replace(0, np.NaN).nunique(axis=1)

Answer 2

尝试一下：

HttpServletRequest request -> request.getRemotePort()

Answer 3

不使用replace的简洁版本：

df['unique'] = df[df!=0].nunique(axis=1)
df

输出：

   col1  col2  col3  unique
0     1     3     0       2
1     2     4     4       2
2     3     0     0       1

nunique排除熊猫中的某些值

3 个答案: