DataFrame.resample(rule, how=None, axis=0, fill_method=None, closed=None, label=None, convention='start', kind=None, loffset=None, limit=None, base=0)参数：rule：这是必需的参数，用于指定重采样的频率规则。可以用字符串别名。how：指定重
# adding or timedelta and date -> datelike In [118]: tdi + pd.Timestamp("20130101") Out[118]: DatetimeIndex(['2013-01-02', 'NaT', '2013-01-03'], dtype='datetime64[ns]', freq=None) # subtraction of a date and a timedelta -> datelike # note that trying to subtract a date ...
resample(rule, how=None, axis=0, fill_method=None, closed=None, label=None, convention='start', kind=None, loffset=None, limit=None, base=0, on=None, level=None) rule : string the offset string or object representing target conversion axis : int, optional, default 0 closed : {'right...
修复了在空 DataFrame 或 Series 的情况下DataFrame.transform()中的回归失败(GH 39636) 修复了在对所有-NaN 或数字对象 dtype 列进行聚合时,groupby()或resample()中的回归问题(GH 39329) 修复了Rolling.count()中的回归问题,操作后min_periods参数将被设置为0(GH 39554) 修复了read_excel()中的回归问题,当参...
pandas provides many buit-in time series tools and data algorithims. You can efficiently work with very large time series and easily slice and dice,aggregate, andresample(重采样)irrgular-and fixed-frequency time series. Some of these tools are especially useful financial and economics applications...
For example, you can convert the sample time series to be fixed daily frequency by calling resample. Frequencies and Date Offsets 对于基本的时间间隔,pandas 都提供了一个基础的 frequency,然后这些基础的 frequency 还可以借助乘法器组成 pd 里常用的一些 frequency。 For each base frequency, there is ...
resample(rule, how=None, axis=0, fill_method=None, closed=None, label=None, convention='start', kind=None, loffset=None, limit=None, base=0, on=None, level=None) rule : string the offset string or object representing target conversion axis : int, optional, default 0 closed : {'...
resample shape to_xarray to_period kurt ffill idxmax plot to_clipboard cumsum nlargest var add abs any tshift nunique count combine keys values set_axis isnull sparse first_valid_index combine_first ewm notnull empty mask truncate to_csv bool at clip radd to_markdown value_counts first isna...
Fixed bug when plotting a DatetimeIndexopen in new window with datetime.timezone.utc timezone (GH17173open in new window) 分组/重采样/滚动 Bug in pandas.core.resample.Resampler.agg() with a timezone aware index where OverflowError would raise when passing a list of functions (GH22660open in...
pandas provides many buit-in time series tools and data algorithims. You can efficiently work with very large time series and easily slice and dice,aggregate, andresample(重采样)irrgular-and fixed-frequency time series. Some of these tools are especially useful financial and economics applications...