Series.dt.is_year_start Indicate whether the date is the first day of a year. Series.dt.is_quarter_end Indicator for whether the date is the last day of a quarter. Series.dt.is_quarter_start Indicator for whether the date is the first day of a quarter. Series.dt.is_month_end Indicates whether the date is the last day of the month. Series.dt.is_month_start Indicates whether the date is the first day of the month. Series.dt.quarter The quarter of the date. Series.dt.dayofyear The ordinal day of the year. Series.dt.weekday The day of the week with Monday=0, Sunday=6. Series.dt.dayofweek The day of the week with Monday=0, Sunday=6. Series.dt.weekofyear The week ordinal of the year. Series.dt.week The week ordinal of the year. Series.dt.nanosecond The nanoseconds of the datetime. Series.dt.microsecond The microseconds of the datetime. Series.dt.second The seconds of the datetime. Series.dt.minute The minutes of the datetime. Series.dt.hour The hours of the datetime. Series.dt.month The month as January=1, December=12. Series.dt.timetz Returns numpy array of datetime.time also containing timezone information. Series.dt.time Returns numpy array of datetime.time. Property Description Series.dt.date Returns numpy array of python datetime.date objects (namely, the date part of Timestamps without timezone information). Creating Momentsĭates, datetimes, and times are each a separate class, and we can create them in a variety of ways, including directly and through parsing strings. Type Description Examples Date (Moment) Day of the year, September 30th, 2019 Time (Moment) Single point in time 6 hours, 6.5 minutes, 6.09 seconds, 6 milliseconds Datetime (Moment) Combination of date and time 06:00:00, September 30th, 2019 at 6:00 Duration Difference between two moments 2 days, 4 hours, 10 seconds Period Grouping of time 2019Q3, January Python’s Datetime Moduleĭatetime supplies classes to enable date and time manipulation in both simple and complex ways. It’s critical to understand the difference between a moment, duration, and period in time before we can fully understand time series analysis in Python.
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