pandas 大熊猫可以读取转置的 CSV 文件吗?
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时间:2020-09-14 01:58:17 来源:igfitidea点击:
Can pandas read a transposed CSV?
提问by ajwood
Can pandas
read a transposed CSV? Here's the file (note I'd also like to select a subset of columns):
可以pandas
读取转置的 CSV 文件吗?这是文件(请注意,我还想选择列的子集):
A,x,x,x,x,1,2,3
B,x,x,x,x,4,5,6
C,x,x,x,x,7,8,9
Would like to get this DataFrame:
想得到这个数据帧:
A B C
0 1 4 7
1 2 5 8
2 3 6 9
回答by piRSquared
pd.read_csv('file.csv', index_col=0, header=None).T
回答by Miertz
In addition, if your file looks like this:
此外,如果您的文件如下所示:
"some-line-you-want-to-skip"
A,x,x,x,x,1,2,3
B,x,x,x,x,4,5,6
C,x,x,x,x,7,8,9
It is possible to do the following:
可以执行以下操作:
df = pd.read_csv(filename, skiprows=1, header=None).T # Read csv, and transpose
df.columns = df.iloc[0] # Set new column names
df.drop(0,inplace=True) # Drop duplicated row
This will also end up with the df looking the way you want
这也将使 df 以您想要的方式结束