auc(x, y[, add_boundaries, skip_na])
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Calculate the area under curve for the given x and y values. |
cache_at(save_as[, common_settings])
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Return decorator that will cache the returned list of dicts in the JSON file save_as. |
constrain_pd(df, constraints)
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Given a dict of {col_name: constraint_value} return the dataframe row subset fulfilling all constraints. |
do_for(func[, allow_looping, verbose_looping])
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Apply func to all combinations of elements in the allow_looping list of kwargs-keys. |
f_beta(precision, recall[, beta])
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Calculate F1_beta score (cf. |
flatten_cols(df, columns[, keep_columns])
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If items in an dataframe are iterables, flatten these. |
show_and_save_plot([fig, save_as, show_fig, ...])
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Save a plot with proper default timestamped filename. |
to_fig_for(func[, allow_looping, fig_args, ...])
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Apply func to all combinations of elements in the allow_looping list of kwargs-keys and gather results into image. |
update_dict(d, update)
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Return a dict that is a recursive update of d with values in update. |