data_frame_operations#

collapse_structures(df: DataFrame, map_collapse, collapse_hemispheres=False) → DataFrame[source]#: collapses structures according to a dict map_collapse (id -> new_id) ids not in map_collapse are kept

count_cells(path: str) → DataFrame[source]#: counts cells from one file of type cells.feather returns df with columns id, hemisphere, cell_count and one row per structure x hemisphere

filter_df(df: DataFrame, structure_ids, hemispheres=['RH', 'LH'], exclude: bool = False) → DataFrame[source]#: returns a df that includes only the

group_counts(counts_s, sample_names) → DataFrame[source]#: groups several cell_counts together; sample_names are the names of the samples returns df with columns id, hemisphere, and one column per sample

normalise_df_column_names(df)[source]#

Return same names wether df is a cell stats df or a group stats df :param df:

Returns

normalize_df(df: DataFrame, df_normalize: DataFrame) → DataFrame[source]#

sanitize_df(df, id_col_name='Structure ID')[source]#

Remove the rows corresponding to the “brain” structure and the rows with invalid ids

Parameters:

Returns