本文介绍了numpy,TypeError:无法从dtype('< M8 [us]')强制转换为dtype('< M8 [D]')的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!
问题描述
我试图找出直到特定日期的工作日数,并出现以下错误:
I'm trying to find out number of business days until a specific date and get the following error:
import numpy as np
import pandas_market_calendars as mcal
from datetime import datetime
import pandas as pd
nyse = mcal.get_calendar('NYSE')
holidays = nyse.holidays()
holidays = list(holidays.holidays) # NYSE Holidays
today = datetime.now()
expiration = datetime(2019,2,13,0,0)
days_to_expiration = np.busday_count(today,expiration,holidays=holidays)
print(days_to_expiration)
In [6]: days_to_expiration = np.busday_count(today,expiration,holidays=holidays)
Traceback (most recent call last):
File "<ipython-input-6-559c16b20339>", line 1, in <module>
days_to_expiration = np.busday_count(today,expiration,holidays=holidays)
TypeError: Iterator operand 0 dtype could not be cast from dtype('<M8[us]') to dtype('<M8[D]') according to the rule 'safe'
有什么想法吗?
推荐答案
您应该将日期传递给busday_count
而不是日期时间:
You should pass dates to busday_count
rather than datetimes:
In [11]: today = datetime.now()
...: expiration = datetime(2019,2,13,0,0)
...:
...: days_to_expiration = np.busday_count(today.date(),expiration.date(),holidays=holidays)
...: print(days_to_expiration)
11
这篇关于numpy,TypeError:无法从dtype('< M8 [us]')强制转换为dtype('< M8 [D]')的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持!