The problem I see here is use of Pandas. I know I have he losing opinion, but
people who use Python to load Panadas and then only use Pandas are missing out
on the functionality of Python.
I'll bet you could code combining this data in pure Python, into one
dictionary. In fact I'd be shocked if you couldn't do it.
---- Joseph S.
Teledyne Confidential; Commercially Sensitive Business Data
-----Original Message-----
From: Mahmood Naderan <nt_mahm...@yahoo.com>
Sent: Saturday, November 6, 2021 6:01 PM
To: python-list@python.org; MRAB <pyt...@mrabarnett.plus.com>
Subject: Re: Problem with concatenating two dataframes
>The second argument of pd.concat is 'axis', which defaults to 0. Try
>using 1 instead of 0.
Unfortunately, that doesn't help...
dict[name] = pd.concat( [dict[name],values], axis=1 )
{'dummy': Value
M1 0
M2 0
M3 0, 'K1': Value Value
0 10.0 NaN
1 5.0 NaN
2 10.0 NaN
6 NaN 2.0
7 NaN 2.0
8 NaN 2.0, 'K2': Value
3 20
4 10
5 15}
Regards,
Mahmood
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