drippy.data
===========

.. py:module:: drippy.data

.. autoapi-nested-parse::

   EDA data container.



Classes
-------

.. autoapisummary::

   drippy.data.EDAData


Module Contents
---------------

.. py:class:: EDAData(y: collections.abc.Iterable[float], x: collections.abc.Iterable | None = None, t: collections.abc.Iterable[float] | None = None, factors: dict[str, collections.abc.Iterable] | None = None)

   Validated data container for EDA analysis.

   :param y: Response variable. Must be 1D and non-empty.
   :param x: Continuous predictor or single categorical factor.
             Must match len(y) if provided.
   :param t: Continuous index variable (e.g. time, 1/B, position).
             Not restricted to real time. Must match len(y) if provided.
   :param factors: Named factor arrays for multi-factor/DOE/comparative
                   plots. Each value must match len(y).


   .. py:attribute:: y


   .. py:attribute:: x
      :value: None



   .. py:attribute:: t
      :value: None



   .. py:attribute:: factors
      :value: None



   .. py:method:: run_sequence_plot(**kwargs: Any) -> tuple[matplotlib.figure.Figure, matplotlib.axes.Axes]

      Delegates to drippy.univariate.run_sequence_plot.



   .. py:method:: lag_plot(**kwargs: Any) -> tuple[matplotlib.figure.Figure, matplotlib.axes.Axes]

      Delegates to drippy.univariate.lag_plot.



   .. py:method:: histogram(**kwargs: Any) -> tuple[matplotlib.figure.Figure, matplotlib.axes.Axes]

      Delegates to drippy.univariate.histogram.



   .. py:method:: normal_probability_plot(**kwargs: Any) -> tuple[matplotlib.figure.Figure, matplotlib.axes.Axes, float | None]

      Delegates to drippy.univariate.normal_probability_plot.



   .. py:method:: four_plot(**kwargs: Any) -> tuple[matplotlib.figure.Figure, numpy.ndarray]

      Delegates to drippy.univariate.four_plot.



   .. py:method:: ppcc_plot(**kwargs: Any) -> tuple[matplotlib.figure.Figure, numpy.ndarray]

      Delegates to drippy.univariate.ppcc_plot.



   .. py:method:: weibull_plot(**kwargs: Any) -> tuple[matplotlib.figure.Figure, matplotlib.axes.Axes]

      Delegates to drippy.univariate.weibull_plot.



   .. py:method:: probability_plot(**kwargs: Any) -> tuple[matplotlib.figure.Figure, matplotlib.axes.Axes]

      Delegates to drippy.univariate.probability_plot.



   .. py:method:: box_cox_linearity_plot(**kwargs: Any) -> tuple[matplotlib.figure.Figure, matplotlib.axes.Axes]

      Delegates to drippy.univariate.box_cox_linearity_plot.



   .. py:method:: box_cox_normality_plot(**kwargs: Any) -> tuple[matplotlib.figure.Figure, numpy.ndarray]

      Delegates to drippy.univariate.box_cox_normality_plot.



   .. py:method:: bootstrap_plot(**kwargs: Any) -> tuple[matplotlib.figure.Figure, matplotlib.axes.Axes]

      Delegates to drippy.univariate.bootstrap_plot.



   .. py:method:: spectral_plot(**kwargs: Any) -> tuple[matplotlib.figure.Figure, matplotlib.axes.Axes]

      Delegates to drippy.timeseries.spectral_plot.



   .. py:method:: autocorrelation_plot(**kwargs: Any) -> tuple[matplotlib.figure.Figure, matplotlib.axes.Axes]

      Delegates to drippy.timeseries.autocorrelation_plot.



   .. py:method:: complex_demodulation_amplitude_plot(**kwargs: Any) -> tuple[matplotlib.figure.Figure, matplotlib.axes.Axes]

      Delegate to timeseries.complex_demodulation_amplitude_plot.



   .. py:method:: complex_demodulation_phase_plot(**kwargs: Any) -> tuple[matplotlib.figure.Figure, matplotlib.axes.Axes]

      Delegate to drippy.timeseries.complex_demodulation_phase_plot.



   .. py:method:: scatter_plot(**kwargs: Any) -> tuple[matplotlib.figure.Figure, matplotlib.axes.Axes]

      Delegates to drippy.onefactor.scatter_plot.



   .. py:method:: box_plot(**kwargs: Any) -> tuple[matplotlib.figure.Figure, matplotlib.axes.Axes]

      Delegates to drippy.onefactor.box_plot.



   .. py:method:: bihistogram(**kwargs: Any) -> tuple[matplotlib.figure.Figure, numpy.ndarray]

      Delegates to drippy.onefactor.bihistogram.



   .. py:method:: qq_plot(**kwargs: Any) -> tuple[matplotlib.figure.Figure, matplotlib.axes.Axes]

      Delegates to drippy.onefactor.qq_plot.



   .. py:method:: mean_plot(**kwargs: Any) -> tuple[matplotlib.figure.Figure, matplotlib.axes.Axes]

      Delegates to drippy.onefactor.mean_plot.



   .. py:method:: sd_plot(**kwargs: Any) -> tuple[matplotlib.figure.Figure, matplotlib.axes.Axes]

      Delegates to drippy.onefactor.sd_plot.



   .. py:method:: doe_scatter_plot(**kwargs: Any) -> tuple[matplotlib.figure.Figure, matplotlib.axes.Axes]

      Delegates to drippy.multifactor.doe_scatter_plot (Phase 2).



   .. py:method:: doe_mean_plot(**kwargs: Any) -> tuple[matplotlib.figure.Figure, matplotlib.axes.Axes]

      Delegates to drippy.multifactor.doe_mean_plot (Phase 2).



   .. py:method:: doe_sd_plot(**kwargs: Any) -> tuple[matplotlib.figure.Figure, matplotlib.axes.Axes]

      Delegates to drippy.multifactor.doe_sd_plot (Phase 2).



   .. py:method:: contour_plot(**kwargs: Any) -> tuple[matplotlib.figure.Figure, matplotlib.axes.Axes]

      Delegates to drippy.multifactor.contour_plot (Phase 2).



   .. py:method:: six_plot(**kwargs: Any) -> tuple[matplotlib.figure.Figure, tuple[matplotlib.axes.Axes, matplotlib.axes.Axes, matplotlib.axes.Axes, matplotlib.axes.Axes, matplotlib.axes.Axes, matplotlib.axes.Axes]]

      Delegates to drippy.regression.six_plot (Phase 3).



   .. py:method:: linear_correlation_plot(**kwargs: Any) -> tuple[matplotlib.figure.Figure, matplotlib.axes.Axes]

      Delegate to drippy.regression.linear_correlation_plot (Phase 3).



   .. py:method:: linear_intercept_plot(**kwargs: Any) -> tuple[matplotlib.figure.Figure, matplotlib.axes.Axes]

      Delegate to drippy.regression.linear_intercept_plot (Phase 3).



   .. py:method:: linear_slope_plot(**kwargs: Any) -> tuple[matplotlib.figure.Figure, matplotlib.axes.Axes]

      Delegates to drippy.regression.linear_slope_plot (Phase 3).



   .. py:method:: linear_residual_sd_plot(**kwargs: Any) -> tuple[matplotlib.figure.Figure, matplotlib.axes.Axes]

      Delegate to drippy.regression.linear_residual_sd_plot (Phase 3).



   .. py:method:: block_plot(**kwargs: Any) -> tuple[matplotlib.figure.Figure, matplotlib.axes.Axes]

      Delegates to drippy.comparative.block_plot (Phase 4).



   .. py:method:: youden_plot(**kwargs: Any) -> tuple[matplotlib.figure.Figure, matplotlib.axes.Axes]

      Delegates to drippy.comparative.youden_plot (Phase 4).



   .. py:method:: star_plot(**kwargs: Any) -> tuple[matplotlib.figure.Figure, matplotlib.axes.Axes]

      Delegates to drippy.comparative.star_plot (Phase 4).



   .. py:method:: _validate_y() -> None

      Validate y array.



   .. py:method:: _validate_and_convert_x(x: collections.abc.Iterable | None) -> numpy.ndarray | None

      Validate and convert x array.



   .. py:method:: _validate_and_convert_t(t: collections.abc.Iterable[float] | None) -> numpy.ndarray | None

      Validate and convert t array.



   .. py:method:: _validate_and_convert_factors(factors: dict[str, collections.abc.Iterable] | None) -> dict[str, numpy.ndarray] | None

      Validate and convert factors dict.