将CSV文件读取到"DataFrame"时，如何指定索引的"dtype"?
问题描述：
在python 3.4.3和Pandas 0.16中，如何将索引的dtype指定为str?
以下代码是我尝试过的:
In python 3.4.3 and Pandas 0.16, how to specify the dtype of index as str?
The following code is what I have tried:
In [1]: from io import StringIO
In [2]: import pandas as pd
In [3]: import numpy as np
In [4]: fra = pd.read_csv(StringIO('date,close\n20140101,10.2\n20140102,10.5'), index_col=0, dtype={'date': np.str_, 'close': np.float})
In [5]: fra.index
Out[5]: Int64Index([20140101, 20140102], dtype='int64')
答
参数index_col=0似乎优先于dtype参数，如果您放下index_col参数，则可以调用set_index之后:
It looks like the param index_col=0 is taking precedence over the dtype param, if you drop the index_col param then you can call set_index after:
In [235]:
fra = pd.read_csv(io.StringIO('date,close\n20140101,10.2\n20140102,10.5'), dtype={'date': np.str_, 'close': np.float})
fra
Out[235]:
date close
0 20140101 10.2
1 20140102 10.5
In [236]:
fra = fra.set_index('date')
fra.index
Out[236]:
Index(['20140101', '20140102'], dtype='object')
另一种方法是放下index_col参数，然后在read_csv返回的df上调用set_index，这样它就变成了单行代码:
An alternative is to drop the index_col param and just call set_index on the df returned from read_csv so it becomes a one-liner:
In [237]:
fra = pd.read_csv(io.StringIO('date,close\n20140101,10.2\n20140102,10.5'), dtype={'date': np.str_, 'close': np.float}).set_index('date')
fra.index
Out[237]:
Index(['20140101', '20140102'], dtype='object')
更新
这是一个错误，其目标版本为0.17.0
This is a bug which is targeted for version 0.17.0