如何在 Python 中创建日期范围并转换为 DataFrame

Question

假设我有两个 Date 输入： 2020-01-20 11:35:00和2020-01-25 08:00:00 。

我想要一个 output DataFrame 为：

   time1                          time2  
-------------------------------------------
2020-01-20 11:35:00  |  2020-01-21 00:00:00  
2020-01-21 00:00:00  |  2020-01-22 00:00:00  
2020-01-22 00:00:00  |  2020-01-23 00:00:00  
2020-01-23 00:00:00  |  2020-01-24 00:00:00  
2020-01-24 00:00:00  |  2020-01-25 00:00:00  
2020-01-25 00:00:00  |  2020-01-25 08:00:00  

Answer 1

您可以将date_range与两个日期一起使用，然后创建 dataframe。

d1 = pd.to_datetime('2020-01-20 11:35:00')
d2 = pd.to_datetime('2020-01-25 08:00:00')

l = pd.date_range(d1.date(), d2.date(), freq='d').tolist()[1:] #remove the first date
df = pd.DataFrame({'time1':[d1] + l, 'time2':l + [d2]})
print (df)
                time1               time2
0 2020-01-20 11:35:00 2020-01-21 00:00:00
1 2020-01-21 00:00:00 2020-01-22 00:00:00
2 2020-01-22 00:00:00 2020-01-23 00:00:00
3 2020-01-23 00:00:00 2020-01-24 00:00:00
4 2020-01-24 00:00:00 2020-01-25 00:00:00
5 2020-01-25 00:00:00 2020-01-25 08:00:00

Answer 2

没有内置的方法来做到这一点，我们可以使用iloc和pd.date_range来分配第一个和最后一个日期并生成您的日期范围。

t1 = pd.Timestamp('2020-01-20 11:35:00')
t2 = pd.Timestamp('2020-01-25 08:00:00')

df = pd.DataFrame({'Time1' : pd.date_range(t1.date(),t2.date())})
df = df.assign(Time2 = df['Time1'] + pd.DateOffset(days=1))

df.iloc[0,0] = t1
df.iloc[-1,1] = t2

print(df)

               Time1               Time2
0 2020-01-20 11:35:00 2020-01-21 00:00:00
1 2020-01-21 00:00:00 2020-01-22 00:00:00
2 2020-01-22 00:00:00 2020-01-23 00:00:00
3 2020-01-23 00:00:00 2020-01-24 00:00:00
4 2020-01-24 00:00:00 2020-01-25 00:00:00
5 2020-01-25 00:00:00 2020-01-25 08:00:00