TypeError:访问数据框的dtypes时，“系列"对象不可调用 [英] TypeError: 'Series' object is not callable when accessing dtypes of a dataframe

问题描述

什么鬼? 我没有将关键字更改为读取目录中的文本文件.

What the hell? I didn't change the keyword to reading the text file I have on my directory.

但是我无法通过我所知道的两种方法来检查每列的dtype.

Yet I can't check the dtype of each columns by the two methods that I know of.

如果我使用.dtypes，它将返回TypeError(不可调用):

If I use .dtypes it would return TypeError that Series is not callable:

在这里它返回AttributeError ..现在声称我读取的是数据帧:

Here it returns AttributeError.. now claiming what I read is dataframe:

有什么想法吗?

推荐答案

这里没有歧义. file是一个数据框，dtypes是一个属性.

There's no ambiguity here. file is a dataframe, and dtypes is an attribute.

df
        productView  order
userId                    
A               4.5    5.0
B               1.5    2.5
C               4.0    2.0
D               2.0    3.0

df.dtypes
productView    float64
order          float64
dtype: object

当您访问dtypes时，将返回一个系列:

When you access dtypes, a Series is returned:

type(df.dtypes)
pandas.core.series.Series

调用df.dtypes()时，实际上是在做无效的series = df.dtype; series()，因为series是对象(不是函数或定义了__call__的对象).

When you call df.dtypes(), you are effectively doing series = df.dtype; series() which is invalid, since series is an object (not a function, or an object with __call__ defined).

在第二种情况下，dtype甚至不是df的有效属性/方法，因此引发了AttributeError.

In the second case, dtype isn't even a valid attribute/method of df, and so an AttributeError is raised.

TLDR；第一个错误出现在dtype系列上，第二个错误出现在原始数据帧df上.

TLDR; The first error is raised on the dtype series, the second is raised on the original dataframe df.

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