如何在 Python 中的数据框中填充类型为 Float 的列的模式值

Question

当我尝试用mode填充NaN值时，我发现它再次返回Nan值。

df= df.apply(lambda x: x.fillna(x.mode() if (x.dtypes!=object ) else x.value_counts().index[0] ))

Answer 1

Use x.mode().item()

like in your example:

>>> df.apply(lambda x: x.fillna(x.mode().item() if (x.dtypes!=object ) else x.va
lue_counts().index[0] ))

Note: It only works when the mode is single or scalar value. - as remarked by @jezrael