Downsample a time-series dataset

downsample.py

import pandas as pd
import numpy as np

input_csv = "./weather_history_weekly.csv"
output_csv_2w = "./weather_history_2w.csv"
output_csv_monthly = "./weather_history_monthly.csv"
df = pd.read_csv(input_csv)

N = len(df)
all_columns = df.columns

df["Datetime"] = pd.to_datetime(df["Datetime"])

df.resample("2W", on="Datetime").mean().to_csv(output_csv_2w)
df.resample("1M", on="Datetime").mean().to_csv(output_csv_monthly)