我有一個數據幀,它有幾天的聚合數據。我想在失蹤幾天添加熊貓在時間序列中填寫缺失日期
我下面的另一篇文章,Add missing dates to pandas dataframe,不幸的是,它重寫了我的結果(也許功能微微一變?)...的代碼如下
import random
import datetime as dt
import numpy as np
import pandas as pd
def generate_row(year, month, day):
while True:
date = dt.datetime(year=year, month=month, day=day)
data = np.random.random(size=4)
yield [date] + list(data)
# days I have data for
dates = [(2000, 1, 1), (2000, 1, 2), (2000, 2, 4)]
generators = [generate_row(*date) for date in dates]
# get 5 data points for each
data = [next(generator) for generator in generators for _ in range(5)]
df = pd.DataFrame(data, columns=['date'] + ['f'+str(i) for i in range(1,5)])
# df
groupby_day = df.groupby(pd.PeriodIndex(data=df.date, freq='D'))
results = groupby_day.sum()
idx = pd.date_range(min(df.date), max(df.date))
results.reindex(idx, fill_value=0)
也許你正在尋找重採樣呢? –
它看起來很有前途,但我努力從文檔中應用它 – Alter
我想我明白了...... 'df.set_index(df.date,inplace = True)'+'df = df.resample('D ').sum()' 這很方便 – Alter