pastas.timeseries.validate_oseries
==================================

.. py:function:: pastas.timeseries.validate_oseries(series: pandas.Series)

   
   Method to validate user-provided oseries input time series.

   :param series: Pandas.Series object containing the series time series.
   :type series: pandas.Series

   :returns: True if the series is valid. If not, an error is raised.
   :rtype: bool

   .. rubric:: Notes

   The Series are validated for the following cases:

   0. Make sure the series is a Pandas.Series
   1. Make sure the values are floats
   2. Make sure the index is a DatetimeIndex
   3. Make sure the indices are datetime64 (and tz naive)
   4. Make sure the index has no NaT-values
   5. Make sure the index is monotonically increasing
   6. Make sure there are no duplicate indices
   7. Make sure the time series has no nan-values

   If any of these checks are not passed the method will throw an error that needs
   to be fixed by the user.

   .. rubric:: Examples

   >>> ps.validate_oseries(series)















   ..
       !! processed by numpydoc !!