我正在使用 pd.read_csv
读取 pandas DataFrame
。我想将第一行保留为数据,但它不断转换为列名。
- 我试过
header=False
但这完全删除了它。
(注意我的输入数据:我有一个字符串 (st = '\n'.join(lst)
),我将其转换为类似文件的对象 (io.StringIO (st)
),然后从该文件对象构建 csv
。)
最佳答案
您希望 header=None
将 False
类型提升为 int
为 0
参见 docs强调我的:
header : int or list of ints, default ‘infer’ Row number(s) to use as the column names, and the start of the data. Default behavior is as if set to 0 if no names passed, otherwise None. Explicitly pass header=0 to be able to replace existing names. The header can be a list of integers that specify row locations for a multi-index on the columns e.g. [0,1,3]. Intervening rows that are not specified will be skipped (e.g. 2 in this example is skipped). Note that this parameter ignores commented lines and empty lines if skip_blank_lines=True, so header=0 denotes the first line of data rather than the first line of the file.
您可以看到行为上的差异,首先使用 header=0
:
In [95]:
import io
import pandas as pd
t="""a,b,c
0,1,2
3,4,5"""
pd.read_csv(io.StringIO(t), header=0)
Out[95]:
a b c
0 0 1 2
1 3 4 5
现在 None
:
In [96]:
pd.read_csv(io.StringIO(t), header=None)
Out[96]:
0 1 2
0 a b c
1 0 1 2
2 3 4 5
请注意,在最新版本 0.19.1
中,这将引发一个 TypeError
:
In [98]:
pd.read_csv(io.StringIO(t), header=False)
TypeError: Passing a bool to header is invalid. Use header=None for no header or header=int or list-like of ints to specify the row(s) making up the column names
关于python - 防止 pandas read_csv 将第一行视为列名的标题,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/40769691/