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styling: a float column holding an infinity falls back to the obj displayer (OverflowError in _formatted_char_count)

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Assessment

Difficulty
2/5
Estimated time
1-3 hours
Newbie friendliness
76/100
Issue type
Bug
Clarity
Clearly specified
Activity status
Active
Tech stack
pandas, python
Domain
data-visualization

Research direction

Start in customizations/styling.py at _formatted_char_count, then trace how its result is used by DefaultMainStyling.style_column and the summary-stats styling. Reproduce with the provided infinity example; done means non-finite bounds no longer raise OverflowError and the float column keeps its float displayer instead of falling back.

Written by the indexing model from the issue text.

Description

Histograms

Problem

_formatted_char_count (customizations/styling.py:25) sizes a float column from int(max(abs(max), abs(min))). It guards NaN (max_abs == max_abs) but not infinity, so a column whose min or max is inf or -inf raises OverflowError: cannot convert float infinity to integer. DefaultMainStyling.style_column calls it through estimate_min_width_px (line 130), style_column_with_fallback (dataflow/styling_core.py:560) logs the warning and falls back, and the column is shown with the obj displayer and no minWidth. The summary-stats view (DefaultSummaryStatsStyling) falls back the same way. Pandas and polars widgets both do this, and so does the DDD frame df_with_infinity.

import numpy as np
import pandas as pd
from buckaroo.buckaroo_widget import BuckarooWidget

df = pd.DataFrame({"with_inf": [1.5, 2.5, np.inf, 4.5], "no_inf": [1.5, 2.5, 3.5, 4.5]})
for cc in BuckarooWidget(df).df_display_args["main"]["df_viewer_config"]["column_config"]:
    print(cc["header_name"], cc["displayer_args"])
# with_inf {'displayer': 'obj'}
# no_inf {'displayer': 'float', 'min_fraction_digits': 3, 'max_fraction_digits': 3}

Suggested fix

Size from the finite bounds: skip a non-finite min or max the way NaN is skipped.

Context

Found while testing the infinity histograms in #1069. Reproduces on main at 315286fd.

Dominant language
Python
Stars
685
Forks
17
Avg merge
23h 34m
Merged PRs (30d)
24

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