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-Original Message-
From: Mahmood Naderan
Sent: Saturday, November 6, 2021 6:01 PM
To: python-list@python.org; MRAB
Subject: Re: Problem with concatenating two datafram
>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 10.0NaN
15.0NaN
2
On 2021-11-06 20:12, Mahmood Naderan wrote:
>Try this instead:
>
>
> dict[name] = pd.concat([dict[name], values])
OK. That fixed the problem, however, I see that they are concatenated
vertically. How can I change that to horizontal? The printed dictionary in the
end looks like
{'dummy':
>Try this instead:
>
>
> dict[name] = pd.concat([dict[name], values])
OK. That fixed the problem, however, I see that they are concatenated
vertically. How can I change that to horizontal? The printed dictionary in the
end looks like
{'dummy': Value
M1 0
M2 0
M3 0, 'K1':
On 2021-11-06 16:16, Mahmood Naderan via Python-list wrote:
In the following code, I am trying to create some key-value pairs in a
dictionary where the first element is a name and the second element is a
dataframe.
# Creating a dictionary
data = {'Value':[0,0,0]}
kernel_df = pd.DataFrame(data,
In the following code, I am trying to create some key-value pairs in a
dictionary where the first element is a name and the second element is a
dataframe.
# Creating a dictionary
data = {'Value':[0,0,0]}
kernel_df = pd.DataFrame(data, index=['M1','M2','M3'])
dict = {'dummy':kernel_df}
# dummy -
