#!/usr/bin/env python
# -*- coding: utf-8 -*-

import sys
import scipy as sp
import numpy as np
import matplotlib as mpl
import pandas as pd
import sklearn as skl
mpl.use('Agg')
import seaborn as sns

# common helper for dataframe plot using seaborn,
# trying to return a file instead a raw opaque item
def jun_dataframe_plot(df, fn, save='None', keywords=[]):
    if ( isinstance(df, pd.core.frame.DataFrame) ):
        # clean before any plot
        mpl.pyplot.figure()
        # make dict from keywords even if empty!
        kwargs = dict(keywords)
        # get the fun from seaborn directly since we want a dynamic call
        fun = getattr(sns, fn)
        plot = fun(**kwargs)
        if ( plot.__class__.__name__ == 'AxesSubplot' ):
            plot_class = 'matplotlib.AxesSubplot'
        else:
            plot_class = 'seaborn.axisgrid.*'
        if save != 'None':
            # if figure comes from seaborn use fig, otherwise get_figure
            if ( plot_class == 'matplotlib.AxesSubplot' ):
                fig = plot.get_figure()
            else:             
                fig = plot.fig
            fig.savefig(save, bbox_inches='tight') # save contains path
            return plot_class
        else:
            return (plot_class, plot) # this is correct? because can be confusing with opaque df
    else:
        return 'error_format_data_frame_invalid'