如何将pandas DataFrame的索引dtype更改为int32? [英] How to change index dtype of pandas DataFrame to int32?

问题描述

DataFrame索引的默认dtype是int64，我想将其更改为int32.

A default dtype of DataFrame index is int64 and I would like to change it to int32.

我尝试使用 和int32的NumPy数组，也尝试使用dtype=np.int32创建新索引.它不起作用，总是返回int64的索引.

I tried changing it with pd.DataFrame.set_index and NumPy array of int32, also tried making new index with dtype=np.int32. It didn't work, always returning index of int64.

有人可以显示一个工作代码来生成大小为int32的熊猫索引吗?

Can someone show a working code to produce Pandas index with int32 size?

我使用的是conda Pandas v0.20.1.

I use conda Pandas v0.20.1.

推荐答案

不确定这在实践中是否值得做，但是以下方法应该可以工作:

Not sure this is something worth doing in practice, but the following should work:

class Int32Index(pd.Int64Index):
    _default_dtype = np.int32

    @property
    def asi8(self):
        return self.values

i = Int32Index(np.array([...], dtype='int32'))

(摘自此处)

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