[英]How to convert between columns and rows in python dataframe?
scenario 1情景 1
original dataframe:原装 dataframe:
ab c defg ab c defg
new dataframe:新 dataframe:
a一个
b b
c c
d d
e e
f F
g G
scenario 2情景 2
original dataframe:原装 dataframe:
gfed c ba gfed c 巴
new dataframe:新 dataframe:
a一个
b b
c c
d d
e e
f F
g G
My question is how to perform the above transformations?我的问题是如何执行上述转换?
Try the following:尝试以下操作:
import pandas as pd
df = pd.DataFrame(columns=list('abcdefg'))
df_new = pd.DataFrame([col for col in df.columns], columns=['column_to_rows'])
print(df_new)
just add ".T" to your dataframe.只需将“.T”添加到您的 dataframe 即可。
pd.DataFrame(['a','b','c', 'd', 'e', 'f', 'g'])
Out[99]:
0
0 a
1 b
2 c
3 d
4 e
5 f
6 g
pd.DataFrame(['a','b','c', 'd', 'e', 'f', 'g']).T
Out[100]:
0 1 2 3 4 5 6
0 a b c d e f g
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