#!/usr/bin/env python
# Copyright (c) 2015, Ecole Polytechnique Federale de Lausanne, Blue Brain Project
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"""Box Plot function for multiple morphs."""

from neurom.view import matplotlib_utils


def boxplot(neurons, feature, new_fig=True, subplot=False):
    """Plot a histogram of the selected feature for the population of morphologies.
    Plots x-axis versus y-axis on a scatter|histogram|binned values plot.

    More information about the plot and how it works.

    Parameters
    ----------
    neurons : list
        List of Neurons. Single morphologies must be encapsulated in a list.

    feature : str
    The feature of interest.

    Options
    -------

    subplot : bool
        Default is False, which returns a matplotlib figure object. If True,
        returns a matplotlib axis object, for use as a subplot.
    """
    feature_values = [getattr(neu, 'get_' + feature)() for neu in neurons]

    _, ax = matplotlib_utils.get_figure(new_fig=new_fig, subplot=subplot)

    ax.boxplot(feature_values)

    x_labels = ['neuron_id' for _ in neurons]

    ax.set_xticklabels(x_labels)
