在Pandas中,当你尝试将一个日期时间类型(datetime64[ns])直接转换为整数类型(如int32)时,你可能会遇到错误消息:"cannot astype a datetimelike from [datetime64[ns]] to [int32]"。下面是对这个问题的详细解答: 1. 解释错误消息的含义 错误消息表明你尝试将一个日期时间类型的数据列(datetime64[ns])转换为一...
它在 pandas 中的数据类型是 datetime64[ns] 或 datetime64[ns, tz]。 时间增量：时间增量表示时间差...
因此引发了错误。如果转换为np.int64，则也可以将numpy数组转换为值错误的int或转换为int64，然后以...
简介: python 类型转换 object to datetime64[ns],timedelta64[ns] to float 一、object 变成 datetime64[ns] 如上图:原本这个dateframe当中的Date数据的类型是int 加上下面这句话 把alldfgbcountrysumv2换成自己的dataframe名即可: alldfgbcountrysumv2['Date']=pd.to_datetime(alldfgbcountrysumv2['Date']...
Days_gap=(train['ScheduledDay']-train['AppointmentDay']).astype(int)报错:TypeError: cannot astype a timedelta from [timedelta64[ns]] to [int32]2.想要获得train['ScheduledDay']是一周中的星期几y=train['ScheduledDay'].map(datetime.datetime)报错: 我还是个小白,希望有经验的小伙伴告诉我一下我...
Days_gap=(train['ScheduledDay']-train['AppointmentDay']).astype(int)报错:TypeError: cannot astype a timedelta from [timedelta64[ns]] to [int32]2.想要获得train['ScheduledDay']是一周中的星期几y=train['ScheduledDay'].map(datetime.datetime)报错: 我还是个小白,希望有经验的小伙伴告诉我一下我...
fix: np.datetime64 scalar with ns resolution was become int instead of datetime in to_py_scalar #1304 Merged MarcoGorelli closed this as completed in #1304 Nov 2, 2024 Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment Assignees...
def unixToTime(unixtime): return pd.to_datetime(unixtime,unit='s',utc=True).tz_convert('Asia/Shanghai') #utc时间比上海时间少8小时,做时区转换 def timeToUnix(dt64): return dt64.astype('datetime64[s]').astype('int') unixtime = 1514737265 ...
The type is correctly changed and pandas reconvert it to a datetime64[ns] object. Could we control this behavior? So I can convert my datetime64[ns] object into a unix timestamp like this: my_df.time = my_df.time.values.astype("datetime64[s]").astype(int) Second question why not ...
接下来,使用astype()函数将datetime64数组转换为整数: int_array = dt_array.astype(np.int64) 最后,打印转换后的整数数组: print(int_array) 这样就可以将datetime64数组转换为整数数组了。 关于numpy库的详细介绍和使用方法,可以参考腾讯云的产品介绍链接地址: https://cloud.tencent.com/document/product/215/365...