问题描述
当我尝试选择和删除给定日期时间之前的行时,我的代码返回一个完全空的数据框。通过字符串传递datetime可以,但是我需要根据数据框的最后datetime值将其作为变量。
In:
df_transposed['Interval_Date'] = pd.to_datetime(df_transposed['Interval_Date'])
filter_range_begin = str((datetime.now() - timedelta(hours=2)).strftime("%Y-%m-%d %H:%M:%S"))
df_transposed = df_transposed.set_index('Interval_Date')
indexNames = df_transposed[df_transposed.index.get_level_values(0) > filter_range_begin]
Out:
Empty DataFrame
Columns: [0,1,Label]
Index: []
位置:
In:
df_transposed['Interval_Date'] = pd.to_datetime(df_transposed['Interval_Date'])
filter_range_begin = '2020-09-01 02:00:00'
df_transposed = df_transposed.set_index('Interval_Date')
indexNames = df_transposed[df_transposed.index.get_level_values(0) > filter_range_begin]
返回:
Out:
0 1 Label
Interval_Date
2020-09-01 02:15:00 401121 NaN NaN
2020-09-01 02:30:00 815314 NaN NaN
2020-09-01 02:45:00 885369 NaN NaN
我还需要删除任何超出此范围的行。
谢谢。
解决方法
import pandas
from datetime import datetime
df_transposed = df_transposed[df_transposed['Interval_Date'] < datetime.strptime(df_transposed['Interval_Date'].min(),'%Y-%m-%d')]
#You can put the date directly instead of df_transposed['Interval_Date'].min()