# Path: lantern/utils.py
# def in_ipynb():
#     ip = get_ipython()
#     if ip:
#         cfg = ip.config
#         if cfg.get('IPKernelApp', False):
#             return True
#         return False
#     return False
# 
# Path: lantern/plotting/plotobj.py
# class BasePlot(with_metaclass(ABCMeta)):
#     def __init__(self, backend):
#         pass
# 
#     @abstractmethod
#     def show(self, title='', xlabel='', ylabel='', xaxis=True, yaxis=True, xticks=True, yticks=True, legend=True, grid=True, **kwargs):
#         pass
# 
#     @abstractmethod
#     def area(self, data, color=None, y_axis='left', stacked=False, **kwargs):
#         pass
# 
#     @abstractmethod
#     def bar(self, data, color=None, y_axis='left', stacked=False, **kwargs):
#         pass
# 
#     @abstractmethod
#     def hist(self, data, color=None, y_axis='left', stacked=False, **kwargs):
#         pass
# 
#     @abstractmethod
#     def hline(self, y, color=None, **kwargs):
#         pass
# 
#     @abstractmethod
#     def hspan(self, yhigh, ylow, color=None, **kwargs):
#         pass
# 
#     @abstractmethod
#     def line(self, data, color=None, y_axis='left', **kwargs):
#         pass
# 
#     @abstractmethod
#     def scatter(self, data, color=None, x=None, y=None, y_axis='left', **kwargs):
#         pass
# 
#     @abstractmethod
#     def step(self, data, color=None, y_axis='left', **kwargs):
#         pass
# 
#     @abstractmethod
#     def vline(self, x, color=None, **kwargs):
#         pass
# 
#     @abstractmethod
#     def vspan(self, xhigh, xlow, color=None, **kwargs):
#         pass
# 
# Path: lantern/plotting/plotutils.py
# def get_color(i, col, color):
#     if isinstance(color, list):
#         c = (color[i:i + 1] or [_r()])[0]
#     elif isinstance(color, dict):
#         c = color.get(col, _r())
#     elif isinstance(color, str) and color:
#         c = color
#     else:
#         c = _r()
#     return c


import copy
import pandas as pd
from bokeh.plotting import figure, show, output_notebook
from bokeh.models import Legend, Span
from ..utils import in_ipynb
from .plotobj import BasePlot
from .plotutils import get_color

    def _stacked(df):
        df_top = df.cumsum(axis=1)
        df_bottom = df_top.shift(axis=1).fillna({'y0': 0})[::-1]
        df_stack = pd.concat([df_bottom, df_top], ignore_index=True)
        return df_stack

    def bar(self, data, color=None, y_axis='left', stacked=False, **kwargs):
        # stacked bar: https://bokeh.pydata.org/en/latest/docs/gallery/bar_stacked.html
        # stacked bar: https://bokeh.pydata.org/en/latest/docs/gallery/bar_stacked_split.html
        c = []
        for i, col in enumerate(data):
            c.append(get_color(i, col, color))
            fig = self.figure.vbar(x=data.index, top=data[col].values, width=.9, color=c, **kwargs)
            self.legend.append((col, [fig]))

    def hist(self, data, color=None, y_axis='left', stacked=False, **kwargs):
        raise NotImplementedError()

    def hline(self, y, color=None, **kwargs):
        raise NotImplementedError()

    def hspan(self, yhigh, ylow=0, color=None, **kwargs):
        raise NotImplementedError()

    # def candlestick(self, data):
    #    # https://bokeh.pydata.org/en/latest/docs/gallery/candlestick.html

    def line(self, data, color=None, y_axis='left', **kwargs):
        for i, col in enumerate(data):

# Path: lantern/utils.py
# def in_ipynb():
#     ip = get_ipython()
#     if ip:
#         cfg = ip.config
#         if cfg.get('IPKernelApp', False):
#             return True
#         return False
#     return False
# 
# Path: lantern/plotting/plotobj.py
# class BasePlot(with_metaclass(ABCMeta)):
#     def __init__(self, backend):
#         pass
# 
#     @abstractmethod
#     def show(self, title='', xlabel='', ylabel='', xaxis=True, yaxis=True, xticks=True, yticks=True, legend=True, grid=True, **kwargs):
#         pass
# 
#     @abstractmethod
#     def area(self, data, color=None, y_axis='left', stacked=False, **kwargs):
#         pass
# 
#     @abstractmethod
#     def bar(self, data, color=None, y_axis='left', stacked=False, **kwargs):
#         pass
# 
#     @abstractmethod
#     def hist(self, data, color=None, y_axis='left', stacked=False, **kwargs):
#         pass
# 
#     @abstractmethod
#     def hline(self, y, color=None, **kwargs):
#         pass
# 
#     @abstractmethod
#     def hspan(self, yhigh, ylow, color=None, **kwargs):
#         pass
# 
#     @abstractmethod
#     def line(self, data, color=None, y_axis='left', **kwargs):
#         pass
# 
#     @abstractmethod
#     def scatter(self, data, color=None, x=None, y=None, y_axis='left', **kwargs):
#         pass
# 
#     @abstractmethod
#     def step(self, data, color=None, y_axis='left', **kwargs):
#         pass
# 
#     @abstractmethod
#     def vline(self, x, color=None, **kwargs):
#         pass
# 
#     @abstractmethod
#     def vspan(self, xhigh, xlow, color=None, **kwargs):
#         pass
# 
# Path: lantern/plotting/plotutils.py
# def get_color(i, col, color):
#     if isinstance(color, list):
#         c = (color[i:i + 1] or [_r()])[0]
#     elif isinstance(color, dict):
#         c = color.get(col, _r())
#     elif isinstance(color, str) and color:
#         c = color
#     else:
#         c = _r()
#     return c


# Path: lantern/plotting/plot_bokeh.py
import copy
import pandas as pd
from bokeh.plotting import figure, show, output_notebook
from bokeh.models import Legend, Span
from ..utils import in_ipynb
from .plotobj import BasePlot
from .plotutils import get_color


    def _stacked(df):
        df_top = df.cumsum(axis=1)
        df_bottom = df_top.shift(axis=1).fillna({'y0': 0})[::-1]
        df_stack = pd.concat([df_bottom, df_top], ignore_index=True)
        return df_stack

    def bar(self, data, color=None, y_axis='left', stacked=False, **kwargs):
        # stacked bar: https://bokeh.pydata.org/en/latest/docs/gallery/bar_stacked.html
        # stacked bar: https://bokeh.pydata.org/en/latest/docs/gallery/bar_stacked_split.html
        c = []
        for i, col in enumerate(data):
            c.append(get_color(i, col, color))
            fig = self.figure.vbar(x=data.index, top=data[col].values, width=.9, color=c, **kwargs)
            self.legend.append((col, [fig]))

    def hist(self, data, color=None, y_axis='left', stacked=False, **kwargs):
        raise NotImplementedError()

    def hline(self, y, color=None, **kwargs):
        raise NotImplementedError()

    def hspan(self, yhigh, ylow=0, color=None, **kwargs):
        raise NotImplementedError()

    # def candlestick(self, data):
    #    # https://bokeh.pydata.org/en/latest/docs/gallery/candlestick.html

    def line(self, data, color=None, y_axis='left', **kwargs):
        for i, col in enumerate(data):

            c = get_color(i, col, color)