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# -*- coding: utf-8 -*- |
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# emacs: -*- mode: python; py-indent-offset: 4; indent-tabs-mode: nil -*- |
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# vi: set ft=python sts=4 ts=4 sw=4 et: |
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""" |
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Utilities to fill crumbs with data from pandas DataFrames. |
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#TODO: add tests |
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""" |
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from hansel.utils import _get_matching_items |
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def _pandas_rename_cols(df, col_map): |
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""" Return a copy of `df` with the columns renamed as in `col_map`. |
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Parameters |
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---------- |
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df: pandas.DataFrame |
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col_map: dict[str] -> str |
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This is a "DataFrame column name" to "crumb argument name" relation |
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dictionary. |
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Example: {'Subject ID': 'subject_id'} |
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Returns |
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------- |
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renamed: pandas.DataFrame |
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""" |
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renamed = df.copy() |
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renamed.columns = [col_map.get(col_name, col_name) for col_name in df.columns] |
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return renamed |
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def df_to_valuesmap(df, crumb_arg_names, arg_names=None): |
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""" Return a values_map from data in `df` and |
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the matching column and arguments names from `df`, `crumb_arg_names` |
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and `arg_names`. |
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Parameters |
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---------- |
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df: pandas.DataFrame |
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crumb: hansel.Crumb |
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arg_names: sequence of str |
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A list of the crumb arguments and DataFrame columns to extract |
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the info to fill the crumbs. |
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Both must match, or use _pandas_rename_cols to rename the columns. |
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If None, will look for all the arguments that match in both |
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`df` and `arg_names`. |
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Example: ['subject_id'] |
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Returns |
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------- |
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values_map: list of sequences of 2-tuple |
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""" |
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crumb_names = _get_matching_items(df.columns, |
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crumb_arg_names, |
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arg_names) |
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# get the columns of df that have been matched |
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return (list(rec.items()) for rec in df[crumb_names].to_dict(orient='records')) |
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def pandas_fill_crumbs(df, crumb, names_map=None): |
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""" Create a generator of crumbs filled with the `df` column names and `crumb` |
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arguments that match or the ones indicated in `names_map`. |
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Parameters |
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---------- |
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df: pandas.DataFrame |
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crumb: hansel.Crumb |
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names_map: sequence of sequences of 2-tuple or dict[str] -> str |
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This is a "DataFrame column name" to "crumb argument name" relation |
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dictionary. |
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Example: {'Subject ID': 'subject_id'} |
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If None will make a dictionary from the open crumbs arguments, e.g., |
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{'subject_id': 'subject_id'}. |
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The values of this dict will be used to filter the columns |
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in `df` and the crumb arguments in `crumb`. |
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You may need to rename the columns of `df` before using this. |
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Returns |
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------- |
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crumbs: generator of crumbs |
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Crumbs filled with the data in `df`. |
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""" |
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if names_map is None: |
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names_map = {arg_name: arg_name for arg_name in crumb.open_args()} |
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nmap = names_map |
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if not isinstance(nmap, dict): |
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nmap = dict(nmap) |
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values_map = (df |
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.pipe(_pandas_rename_cols, nmap) |
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.pipe(df_to_valuesmap, list(crumb.all_args()), |
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arg_names=list(nmap.values())) |
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) |
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return (crumb.replace(**dict(argvals)) for argvals in values_map) |
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alexsavio /
hansel
