# Copyright (c) 2019, MD2K Center of Excellence
# - Nasir Ali <nasir.ali08@gmail.com>
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# * Redistributions of source code must retain the above copyright notice, this
# list of conditions and the following disclaimer.
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# * Redistributions in binary form must reproduce the above copyright notice,
# this list of conditions and the following disclaimer in the documentation
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import pandas as pd
[docs]def ds_to_pdf(ds, user_id=None) -> pd.DataFrame:
"""
converts DataStream object into pandas dataframe
Args:
ds (DataStream):
Returns:
pandas.DataFrame
"""
if user_id:
ds = ds.filter_user(user_id)
pdf = ds._data.toPandas()
if "timestamp" in pdf.columns:
return pdf.sort_values('timestamp')
return pdf
def _remove_cols(pdf:pd.DataFrame, cols:list=["user", "version", "timestamp", "localtimestamp", "localtime", "window"]):
"""
remove DataFrame columns
Args:
pdf (pd.DataFrame):
cols (list):
Returns:
"""
for col in cols:
if col in pdf.columns:
del pdf[col]
return pdf