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chore(ci): fix numpy type errors and revert #22610 (#22782)

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This commit is contained in:
Ville Brofeldt
2023-01-19 14:53:48 +02:00
committed by GitHub
parent 39c96d0568
commit 577ac81686
29 changed files with 373 additions and 196 deletions
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10
superset/utils/pandas_postprocessing/boxplot.py
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@@ -57,10 +57,10 @@ def boxplot(
"""
def quartile1(series: Series) -> float:
return np.nanpercentile(series, 25, interpolation="midpoint")
return np.nanpercentile(series, 25, interpolation="midpoint") # type: ignore
def quartile3(series: Series) -> float:
return np.nanpercentile(series, 75, interpolation="midpoint")
return np.nanpercentile(series, 75, interpolation="midpoint") # type: ignore
if whisker_type == PostProcessingBoxplotWhiskerType.TUKEY:
@@ -99,8 +99,8 @@ def boxplot(
return np.nanpercentile(series, low)
else:
whisker_high = np.max
whisker_low = np.min
whisker_high = np.max # type: ignore
whisker_low = np.min # type: ignore
def outliers(series: Series) -> Set[float]:
above = series[series > whisker_high(series)]
@@ -126,7 +126,7 @@ def boxplot(
# nanpercentile needs numeric values, otherwise the isnan function
# that's used in the underlying function will fail
for column in metrics:
if df.dtypes[column] == np.object:
if df.dtypes[column] == np.object_:
df[column] = to_numeric(df[column], errors="coerce")
return aggregate(df, groupby=groupby, aggregates=aggregates)