Resampler
=========

.. currentmodule:: pandasCore

Time series resampling operations.

Example
-------

.. code-block:: python

   import pandasCore as pd

   # Create time series
   dates = pd.date_range('2023-01-01', periods=100, freq='D')
   s = pd.Series(range(100), index=dates)

   # Downsample to monthly
   s.resample('M').mean()

   # Upsample to hourly with forward fill
   s.resample('H').ffill()

Parameters
----------

.. list-table::
   :widths: 15 10 10 65
   :header-rows: 1

   * - Parameter
     - Type
     - Default
     - Description
   * - rule
     - str
     - required
     - Resampling frequency
   * - axis
     - int
     - 0
     - Axis to resample
   * - closed
     - str
     - None
     - Which side of bin is closed
   * - label
     - str
     - None
     - Which bin edge to label with
   * - convention
     - str
     - 'start'
     - For PeriodIndex, 'start' or 'end'
   * - kind
     - str
     - None
     - 'timestamp' or 'period'
   * - on
     - str
     - None
     - Column to use for resampling

Frequency Strings
-----------------

.. list-table::
   :widths: 15 85
   :header-rows: 1

   * - Alias
     - Description
   * - S
     - Second
   * - T, min
     - Minute
   * - H
     - Hour
   * - D
     - Day
   * - W
     - Week
   * - M
     - Month end
   * - MS
     - Month start
   * - Q
     - Quarter end
   * - QS
     - Quarter start
   * - A, Y
     - Year end
   * - AS, YS
     - Year start

Aggregation Methods
-------------------

count(), sum(), mean(), median(), std(), var(), min(), max(),
first(), last(), ohlc(), prod(), size(), sem()

Upsampling Methods
------------------

ffill(), bfill(), pad(), backfill(), fillna(method), asfreq(), interpolate()