Stefan Ram ha scritto:
jak wrote or quoted:
Stefan Ram ha scritto:
df = df.where( df == 'zz' ).stack().reset_index()
result ={ 'zz': list( zip( df.iloc[ :, 0 ], df.iloc[ :, 1 ]))}
Since I don't know Pandas, I will need a month at least to understand
these 2 lines of code. Thanks again.
Stefan Ram ha scritto:
df = df.where( df == 'zz' ).stack().reset_index()
result ={ 'zz': list( zip( df.iloc[ :, 0 ], df.iloc[ :, 1 ]))}
Since I don't know Pandas, I will need a month at least to understand
these 2 lines of code. Thanks again.
--
On Sat, Apr 13, 2024 at 1:10 PM Mats Wichmann via Python-list <
python-list@python.org> wrote:
> On 4/13/24 07:00, jak via Python-list wrote:
>
> doesn't Pandas have a "where" method that can do this kind of thing? Or
> doesn't it match what you are looking for? Pretty sure numpy does, but
>
On 4/13/24 07:00, jak via Python-list wrote:
Stefan Ram ha scritto:
jak wrote or quoted:
Would you show me the path, please?
I was not able to read xls here, so I used csv instead; Warning:
the script will overwrite file "file_20240412201813_tmp_DML.csv"!
import pandas as pd
with
Stefan Ram ha scritto:
jak wrote or quoted:
Would you show me the path, please?
I was not able to read xls here, so I used csv instead; Warning:
the script will overwrite file "file_20240412201813_tmp_DML.csv"!
import pandas as pd
with open( 'file_20240412201813_tmp_DML.csv', 'w' )as
Hi everyone.
I state that I don't know anything about 'pandas' but I intuited that
it could do what I want. I get, through the "read_excel" method, a
table similar to this:
obj| foo1 foo2 foo3 foo4 foo5 foo6
---
foo1| aa ab zz ad ae af
