我正在尝试使用以下函数获取两个日期之间的天数
df['date'] = pd.to_datetime(df.date)
# Creating a function that returns the number of days
def calculate_days(date):
today = pd.Timestamp('today')
return today - date
# Apply the function to the column date
df['days'] = df['date'].apply(lambda x: calculate_days(x))
结果看起来像这样153 days 10:16:46.294037
但我想让它说 153 .我该如何处理?
最佳答案
为了性能,您可以在没有 apply
的情况下减去值为了避免循环使用 Series.rsub
从右侧减去:
df['date'] = pd.to_datetime(df.date)
df['days'] = df['date'].rsub(pd.Timestamp('today')).dt.days
工作方式:df['days'] = (pd.Timestamp('today') - df['date']).dt.days
如果想使用您的解决方案:df['date'] = pd.to_datetime(df.date)
def calculate_days(date):
today = pd.Timestamp('today')
return (today - date).days
df['days'] = df['date'].apply(lambda x: calculate_days(x))
或者:df['date'] = pd.to_datetime(df.date)
def calculate_days(date):
today = pd.Timestamp('today')
return (today - date)
df['days'] = df['date'].apply(lambda x: calculate_days(x)).dt.days
关于python - 如何使用 Pandas 获取两个日期之间的天数,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/65048547/