[variability] drop nulls and nans so boxplots don't disappear
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@ -59,9 +59,9 @@ def variability_plot(
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vert_groups = set(vert_groups)
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vert_groups = set(vert_groups)
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df = polars.DataFrame(data_table)
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df = polars.DataFrame(data_table)
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# zero_bad: bool = True,
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# if zero_bad:
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# Drop nulls and nans so that the boxplots don't disappear
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# df.filter(col(data_col) != 0)
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df = polars.drop_nulls(subset=[data_col]).drop_nans(subset=[data_col])
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df = df.sort(groups)
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df = df.sort(groups)
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df_groups = df.select(groups).unique(maintain_order=True).with_row_index(name='x_pos')
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df_groups = df.select(groups).unique(maintain_order=True).with_row_index(name='x_pos')
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