netmap.masking.internal.dict_to_dataframe¶

netmap.masking.internal.dict_to_dataframe(mask_dict, column_order_list)¶

Converts a dictionary of binary masks into a pandas DataFrame, respecting a specified column order.

Parameters:

mask_dict (dict) – A dictionary where keys are gene pair strings and values are 1D numpy arrays (the masks).
column_order_list (list) – A list of gene pair strings specifying the desired order of the DataFrame columns.

Returns:

A DataFrame with masks as columns, in the specified order.

Return type:

pd.DataFrame