/
benchmarks.py
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/
benchmarks.py
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#
# Copyright 2013 Quantopian, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import logbook
import pandas as pd
log = logbook.Logger(__name__)
def get_benchmark_returns_from_file(filelike):
"""
Get a Series of benchmark returns from a file
Parameters
----------
filelike : str or file-like object
Path to the benchmark file.
expected csv file format:
date,return
2020-01-02 00:00:00+00:00,0.01
2020-01-03 00:00:00+00:00,-0.02
"""
log.info("Reading benchmark returns from {}", filelike)
df = pd.read_csv(
filelike,
index_col=['date'],
parse_dates=['date'],
).tz_localize('utc')
if 'return' not in df.columns:
raise ValueError("The column 'return' not found in the "
"benchmark file \n"
"Expected benchmark file format :\n"
"date, return\n"
"2020-01-02 00:00:00+00:00,0.01\n"
"2020-01-03 00:00:00+00:00,-0.02\n")
return df['return'].sort_index()