TypeError: Invalid comparison between dtype=datetime64[ns] and date
TypeError: Invalid comparison between dtype=datetime64[ns] and date
我打算用日期时间过滤数据集,突然出现问题。
这些是我用过的库
from datetime import datetime, timedelta,date
import pandas as pd
import numpy as np
编码
df_6m = df_uk[(df_uk.InvoiceDate < date(2011,9,1)) & (df_uk.InvoiceDate >= date(2011,3,1))].reset_index(drop=True)
df_next = df_uk[(df_uk.InvoiceDate >= date(2011,9,1)) & (df_uk.InvoiceDate < date(2011,12,1))].reset_index(drop=True)
我们来试试
df_6m = df_uk[(df_uk.InvoiceDate < pd.to_datetime("2011-9-1")) & (df_uk.InvoiceDate >= pd.to_datetime("2011-3-1"))].reset_index(drop=True)
df_next = df_uk[(df_uk.InvoiceDate >= pd.to_datetime("2011-9-1")) & (df_uk.InvoiceDate < pd.to_datetime("2011-12-1"))].reset_index(drop=True)
我打算用日期时间过滤数据集,突然出现问题。
这些是我用过的库
from datetime import datetime, timedelta,date
import pandas as pd
import numpy as np
编码
df_6m = df_uk[(df_uk.InvoiceDate < date(2011,9,1)) & (df_uk.InvoiceDate >= date(2011,3,1))].reset_index(drop=True)
df_next = df_uk[(df_uk.InvoiceDate >= date(2011,9,1)) & (df_uk.InvoiceDate < date(2011,12,1))].reset_index(drop=True)
我们来试试
df_6m = df_uk[(df_uk.InvoiceDate < pd.to_datetime("2011-9-1")) & (df_uk.InvoiceDate >= pd.to_datetime("2011-3-1"))].reset_index(drop=True)
df_next = df_uk[(df_uk.InvoiceDate >= pd.to_datetime("2011-9-1")) & (df_uk.InvoiceDate < pd.to_datetime("2011-12-1"))].reset_index(drop=True)