Question

我的数据框有15列＆amp;一些列名是nan，如果列名是nan，如何删除。

列：

['Country', 'Survey', 'a typical day', 'a particularly good day',
   'a particularl', 'dk/refused', 'total', nan, nan, nan, nan, nan,
   'questionsCode'], dtype=object)

以下列的预期数据框：

['Country', 'Survey', 'a typical day', 'a particularly good day',
   'a particularl', 'dk/refused', 'total', questionsCode'], dtype=object)

Answer 1

<强>设置
考虑示例数据框df

cols = [
    'Country', 'Survey', 'a typical day',
    'a particularly good day', 'a particularl',
    'dk/refused', 'total',
    np.nan, np.nan, np.nan, np.nan, np.nan,
   'questionsCode'
]

df = pd.DataFrame([range(13)], range(2), cols)
df

   Country  Survey  a typical day  a particularly good day  a particularl  dk/refused  total  NaN  NaN  NaN  NaN  NaN  questionsCode
0        0       1              2                        3              4           5      6    7    8    9   10   11             12
1        0       1              2                        3              4           5      6    7    8    9   10   11             12

解决方案1 
利用loc基于标签的索引

df.loc[:, df.columns.dropna()]

   Country  Survey  a typical day  a particularly good day  a particularl  dk/refused  total  questionsCode
0        0       1              2                        3              4           5      6             12
1        0       1              2                        3              4           5      6             12

这也会起作用

df[df.columns.dropna()]

解决方案2
使用布尔索引

df.loc[:, df.columns.notnull()]

   Country  Survey  a typical day  a particularly good day  a particularl  dk/refused  total  questionsCode
0        0       1              2                        3              4           5      6             12
1        0       1              2                        3              4           5      6             12

如果列名为nan，Python 3.6，如何从数据框中删除整个列

1 个答案: