blob: 7d5e3c4a597a37a9c2210bb12c2f949f17e2e70e [file] [log] [blame]
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you 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 pandas as pd
_grain_mapping = {"day": "D", "week": "W", "month": "M"}
def _validate_grain(grain: str):
assert grain in ["day", "week", "month"]
def filtered_interactions(website_interactions: pd.DataFrame, region: str) -> pd.DataFrame:
return website_interactions[website_interactions.region == region]
def unique_users(filtered_interactions: pd.DataFrame, grain: str) -> pd.Series:
"""Gives the number of shares traded by the frequency"""
_validate_grain(grain)
return filtered_interactions.resample(_grain_mapping[grain])["user_id"].nunique()