Create new dataframe by substracting every column with each other, solving poor performance issues

Error:

"DataFrame is highly fragmented. This is usually the result of calling frame.insert many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()"

Code:

df_DIFFs = pd.DataFrame()

for a, b in itertools.permutations(df.columns,2):
    df_DIFFs[f'{a}-{b}'] = df[a] - df[b]

df_DIFFs

I can't imagine how to use pd.concat or any other more efficient solution in this situation. Thanks.

source https://stackoverflow.com/questions/71018594/create-new-dataframe-by-substracting-every-column-with-each-other-solving-poor

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