[英]Pandas Dataframe transformations
I am new to python and have a need where I need to trasform below pandas dataframe -我是python的新手,需要在pandas数据框下方进行转换 -
type c1 c2 c3
a 9 10.0 -11.11
b 162 165.0 -1.85
c 16 15.0 6.25
to this format-到这种格式-
a b c
c1 c2 c3 c1 c2 c3 c1 c2 c3
9 10.0 -11.11 162 165 -1.85 16 15.0 6.25
I have tried various combinations of transpose, multi-indexing and pivoting but no luck, could you please help me find the solution for this.我尝试了转置、多索引和旋转的各种组合,但没有成功,请您帮我找到解决方案。
Thanks!谢谢!
Here's one way:这是一种方法:
df1 = df.set_index('type').stack()
df = pd.DataFrame(df1.values.reshape(-1,len(df1)), columns = df1.index)
Alternative:选择:
df = df.set_index('type').stack().to_frame().T
OUTPUT:输出:
type a b c
c1 c2 c3 c1 c2 c3 c1 c2 c3
0 9.0 10.0 -11.11 162.0 165.0 -1.85 16.0 15.0 6.25
Try this:试试这个:
result = (
df.set_index('type')
.stack()
.to_frame()
.T
)
If you feel overwhelmed by the chain of operations, try one line a time to see its effect:如果您对操作链感到不知所措,请一次尝试一行以查看其效果:
Step 1:步骤1:
(
df.set_index('type')
.stack()
# .to_frame()
# .T
)
Step 2:第2步:
(
df.set_index('type')
.stack()
.to_frame()
# .T
)
And so on...等等...
声明:本站的技术帖子网页,遵循CC BY-SA 4.0协议,如果您需要转载,请注明本站网址或者原文地址。任何问题请咨询:yoyou2525@163.com.