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Comments (4)

attack68 avatar attack68 commented on June 25, 2024 1

The above was not correct. The following works:

pd.set_option('styler.format.precision', 3)
pd.set_option('styler.format.thousands', "+")
pd.set_option('styler.format.decimal', "-")
df = pd.DataFrame([
    [10000.0, 20000],
    [30000.0, 40000]
])
df.style

Screenshot 2024-05-18 at 07 43 45

as does

pd.set_option('styler.format.precision', 3)
pd.set_option('styler.format.thousands', "+")
pd.set_option('styler.format.decimal', "-") 
df = pd.DataFrame(data=[{'field': 1234567890}], dtype='int64',)
df.style

Screenshot 2024-05-18 at 07 46 10

I misread your issue. The styler pandas options only impact the Styler class. These options are available for people who regularly use Styler. They do not impact DataFrame and the options associated with that class and any of its data input, wrangling, or (in your case) output methods. This is desired behaviour.
If your do not call .style you will not produce a Styler and these options will not apply.

from pandas.

attack68 avatar attack68 commented on June 25, 2024

Agreed. This needs fixing, also for decimal option.

The solution, I believe, is in style_render:

#edited out

change to:

#edited out

and replace all the defaultdicts with the new ddict.

Needs tests.

from pandas.

mroeschke avatar mroeschke commented on June 25, 2024

Yeah given the above it seems like the OP is the expected behavior so closing

from pandas.

vladpy8 avatar vladpy8 commented on June 25, 2024

The styler pandas options only impact the Styler class.

They do not impact DataFrame and the options associated with that class and any of its data input, wrangling, or (in your case) output methods.

I see, thank you!

from pandas.

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