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Title:
BUG: groupby.describe on a frame with duplicate column names · Issue #50806 · pandas-dev/pandas
Description:
xref #46944 pd.set_option("display.max_columns", None) df = DataFrame([[0, 1, 2, 3]]) df.columns = [0, 1, 2, 0] gb = df.groupby(df[1]) print(gb.describe(percentiles=[]).to_string()) # 0 2 # count mean std min 50% max count mean std min 5...
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Keywords {🔍}
bug, column, sign, groupbydescribe, frame, duplicate, names, issue, rhshadrach, projects, count, std, min, max, nan, groupby, navigation, code, pull, requests, actions, security, closed, mentioned, github, type, milestone, footer, skip, content, menu, product, solutions, resources, open, source, enterprise, pricing, search, jump, pandasdev, pandas, public, notifications, fork, star, issues, insights, description, opened,
Topics {✒️}
duplicate column names personal information bug comment metadata assignees issue occurs type projects projects milestone groupby code bug milestone relationships column df = dataframe columns named 0 github groupby sign df columns = [0 df[1] gb skip jump describe frame set_option display max_columns print percentiles=[] to_string outputs values operation _selected_obj _group_selection_context free join conversation account development branches share
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headline:BUG: groupby.describe on a frame with duplicate column names
articleBody:xref #46944
```
pd.set_option("display.max_columns", None)
df = DataFrame([[0, 1, 2, 3]])
df.columns = [0, 1, 2, 0]
gb = df.groupby(df[1])
print(gb.describe(percentiles=[]).to_string())
# 0 2
# count mean std min 50% max count mean std min 50% max count mean std min 50% max
# 1
# 1 1.0 0.0 NaN 0.0 0.0 0.0 1.0 3.0 NaN 3.0 3.0 3.0 1.0 2.0 NaN 2.0 2.0 2.0
```
With duplicate column names, describe only outputs the values for the first column. There should be two columns named `0` here. This issue occurs for any operation where the groupby code is using `_selected_obj` within the `_group_selection_context`.
author:
url:https://github.com/rhshadrach
type:Person
name:rhshadrach
datePublished:2023-01-18T00:30:38.000Z
interactionStatistic:
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interactionType:https://schema.org/CommentAction
userInteractionCount:0
url:https://github.com/50806/pandas/issues/50806
context:https://schema.org
headline:BUG: groupby.describe on a frame with duplicate column names
articleBody:xref #46944
```
pd.set_option("display.max_columns", None)
df = DataFrame([[0, 1, 2, 3]])
df.columns = [0, 1, 2, 0]
gb = df.groupby(df[1])
print(gb.describe(percentiles=[]).to_string())
# 0 2
# count mean std min 50% max count mean std min 50% max count mean std min 50% max
# 1
# 1 1.0 0.0 NaN 0.0 0.0 0.0 1.0 3.0 NaN 3.0 3.0 3.0 1.0 2.0 NaN 2.0 2.0 2.0
```
With duplicate column names, describe only outputs the values for the first column. There should be two columns named `0` here. This issue occurs for any operation where the groupby code is using `_selected_obj` within the `_group_selection_context`.
author:
url:https://github.com/rhshadrach
type:Person
name:rhshadrach
datePublished:2023-01-18T00:30:38.000Z
interactionStatistic:
type:InteractionCounter
interactionType:https://schema.org/CommentAction
userInteractionCount:0
url:https://github.com/50806/pandas/issues/50806
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url:https://github.com/rhshadrach
name:rhshadrach
url:https://github.com/rhshadrach
name:rhshadrach
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interactionType:https://schema.org/CommentAction
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interactionType:https://schema.org/CommentAction
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