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CI: format isort output for detection by azure pipelines #27334

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CI: format isort output for detection by azure pipelines #27334

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d8628d5
format isort output
Jul 11, 2019
c7a64c3
refactor isort formatting
Jul 12, 2019
7762fc1
intentional misordering of imports to test ci failure
Jul 12, 2019
d2f9874
change isort formatting
Jul 12, 2019
35861cf
address pr comments and deliberate bad imports ordering
Jul 29, 2019
0316923
fix error output substr
Aug 3, 2019
1368f87
formatting output to only have error msg
Aug 3, 2019
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6 changes: 5 additions & 1 deletion ci/code_checks.sh
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Original file line number Diff line number Diff line change
Expand Up @@ -109,7 +109,11 @@ if [[ -z "$CHECK" || "$CHECK" == "lint" ]]; then

# Imports - Check formatting using isort see setup.cfg for settings
MSG='Check import format using isort ' ; echo $MSG
isort --recursive --check-only pandas asv_bench
if [[ "$AZURE" == "true" ]]; then
isort --recursive --check-only pandas asv_bench | awk '{ORS=""} {print "##vso[task.logissue type=error;sourcepath="$2";]"} {$1=$2=""; print $0}'
else
isort --recursive --check-only pandas asv_bench | awk -F ':' '{print $0}'
fi
RET=$(($RET + $?)) ; echo $MSG "DONE"

fi
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28 changes: 14 additions & 14 deletions pandas/plotting/_matplotlib/core.py
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Expand Up @@ -2,6 +2,20 @@
from typing import Optional # noqa
import warnings

from pandas.io.formats.printing import pprint_thing
from pandas.plotting._matplotlib import converter
from pandas.plotting._matplotlib.compat import _mpl_ge_3_0_0
from pandas.plotting._matplotlib.style import _get_standard_colors
from pandas.plotting._matplotlib.tools import (
_flatten,
_get_all_lines,
_get_xlim,
_handle_shared_axes,
_subplots,
format_date_labels,
table,
)

import numpy as np

from pandas._config import get_option
Expand All @@ -27,20 +41,6 @@

import pandas.core.common as com

from pandas.io.formats.printing import pprint_thing
from pandas.plotting._matplotlib import converter
from pandas.plotting._matplotlib.compat import _mpl_ge_3_0_0
from pandas.plotting._matplotlib.style import _get_standard_colors
from pandas.plotting._matplotlib.tools import (
_flatten,
_get_all_lines,
_get_xlim,
_handle_shared_axes,
_subplots,
format_date_labels,
table,
)

if get_option("plotting.matplotlib.register_converters"):
converter.register(explicit=False)

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