Pandas version checks
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[X] I have checked that this issue has not already been reported.
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[X] I have confirmed this bug exists on the latest version of pandas.
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[x] I have confirmed this bug exists on the main branch of pandas.
Reproducible Example
import pandas as pd
df = pd.DataFrame({"A": [1., 2.], "B": [3., 4.]})
styler1 = df.style.format(precision=2)
styler2 = df.agg(["sum"]).style
styler3 = df.agg(["prod"]).style
print(styler1.concat(styler2).concat(styler3).to_string())
Issue Description
The new style.concat
option can be used to add styled dataframes to each other.
A user might want to add several dataframes in this manner.
The natural way to do it is styler1.concat(styler2).concat(styler3)
. However in this case, styler2 is silently discarded.
A workaround that give the expected output is to use styler1.concat(styler2.concat(styler3))
. I think that this method is not obvious, and can get ugly when the code is longer.
>>> print(styler1.concat(styler2.concat(styler3)).to_string()) # gets expected output
A B
0 1.00 3.00
1 2.00 4.00
sum 3.000000 7.000000
prod 2.000000 12.000000
>>> print(styler.concat(styler2).concat(styler3).to_string()) # styler2 is dropped
A B
0 1.00 3.00
1 2.00 4.00
prod 2.000000 12.000000
Expected Behavior
>>> print(styler.concat(styler2).concat(styler3).to_string())
A B
0 1.00 3.00
1 2.00 4.00
sum 3.000000 7.000000
prod 2.000000 12.000000
Installed Versions
Comment From: tsvikas
.to_string()
is here to give a minimal example, the issues exists in any styler format, and visible in jupyter notebooks, etc.
Comment From: tsvikas
Also, I would be glad to submit a PR with a fix for this issue