这是我想到的

# df initialization
data = pd.to_datetime('2022/10/03')
df = pd.DataFrame({'start':[data]*3,'end'[data,data+pd.DateOffset(days=1),data],'condition':[0,1,0]})

# find the rule used to add new rows
s = (df.end - df.start).dt.days * df.condition +1

#repeat index
df = df.loc[df.index.repeat(s)].copy()

# system datetimes
add = pd.to_timedelta(df.groupby(level=0).cumcount(), unit='d')
df['start'] = df["start"].add(add)
df['end'] = df["start"]

#default index
df = df.reset_index(drop=True)

如果你的表格是csv格式，你可以利用Pandas图书馆来读取和提取信息。

import pandas as pd

df = pd.read_csv('table.csv')
df2 = df.iloc[:, 0:2] # remove the unwanted column in the dataframe
df2.loc[len(df.index)] = ['03.10.2022','03.10.2022'] # add a new row to the dataframe

瞧，df2就是你想要的 Dataframe 。