Python offline.iplot方法代码示例

# 需要导入模块: from plotly import offline [as 别名]
# 或者: from plotly.offline import iplot [as 别名]
def _render(fig, showlegend=None):
    """Plot a matploltib or plotly figure"""
    if isinstance(fig, plt.Figure):
        fig = plotly.tools.mpl_to_plotly(fig, **PLOTLY_TO_MPL_KWS)

    if showlegend is not None:
        fig.layout["showlegend"] = showlegend

    if not IN_NOTEBOOK:
        message = "Lens explorer can only plot in a Jupyter notebook"
        logger.error(message)
        raise ValueError(message)
    else:
        if not py.offline.__PLOTLY_OFFLINE_INITIALIZED:
            py.init_notebook_mode()
        return py.iplot(fig, **PLOTLY_KWS) 

# 需要导入模块: from plotly import offline [as 别名]
# 或者: from plotly.offline import iplot [as 别名]
def save_wordmesh_as_html(self, coordinates, filename='temp-plot.html', 
                              animate=False, autozoom=True, notebook_mode=False):

        zoom = 1
        labels = ['default label']
        traces = []
        if animate:
            for i in range(coordinates.shape[0]):
                
                traces.append(self._get_trace(coordinates[i]))
                labels = list(map(str,range(coordinates.shape[0])))
                
        else:

            if autozoom:
                zoom = self._get_zoom(coordinates)
            traces = [self._get_trace(coordinates, zoom=zoom)]
            
        layout = self._get_layout(labels, zoom=zoom)
            
        fig = self.generate_figure(traces, labels, layout)
        
        if notebook_mode:
            py.init_notebook_mode(connected=True)
            py.iplot(fig, filename=filename, show_link=False)
        else:
            py.plot(fig, filename=filename, auto_open=False, show_link=False) 

# 需要导入模块: from plotly import offline [as 别名]
# 或者: from plotly.offline import iplot [as 别名]
def plot(*args, **kwargs):
    if util.is_jupyter():
        return iplot(*args, **kwargs) 

# 需要导入模块: from plotly import offline [as 别名]
# 或者: from plotly.offline import iplot [as 别名]
def __init__(self, **kwargs):
        super(VisConfig, self).__init__(**kwargs)
        self.dtype = np.float
        # Set Plotly custom variables
        self.figure_image_filename = "temp-figure"
        self.figure_image_format = "png"
        self.figure_filename = "temp-plot.html"

        # Enable online plotting (default is offline plotting as it works perfectly without any issues)
        # @see: https://plot.ly/python/getting-started/#initialization-for-online-plotting
        online_plotting = kwargs.get('online', False)

        # Detect jupyter and/or ipython environment
        try:
            get_ipython
            from plotly.offline import download_plotlyjs, init_notebook_mode
            init_notebook_mode(connected=True)
            self.plotfn = iplot if online_plotting else plotly.offline.iplot
            self.no_ipython = False
        except NameError:
            self.plotfn = plot if online_plotting else plotly.offline.plot
            self.no_ipython = True

        # Get keyword arguments
        self.display_ctrlpts = kwargs.get('ctrlpts', True)
        self.display_evalpts = kwargs.get('evalpts', True)
        self.display_bbox = kwargs.get('bbox', False)
        self.display_trims = kwargs.get('trims', True)
        self.display_legend = kwargs.get('legend', True)
        self.display_axes = kwargs.get('axes', True)
        self.axes_equal = kwargs.get('axes_equal', True)
        self.figure_size = kwargs.get('figure_size', [1024, 768])
        self.trim_size = kwargs.get('trim_size', 1)
        self.line_width = kwargs.get('line_width', 2) 

# 需要导入模块: from plotly import offline [as 别名]
# 或者: from plotly.offline import iplot [as 别名]
def plot3Dgrid(rows, cols, viz_data, style, normalize=True, title=None):
    if len(viz_data) > rows * cols:
        raise ValueError('Number of plot data is more than the specified rows and columns.')
    fig = subplots.make_subplots(rows, cols, specs=[[{'is_3d': True}] * cols] * rows, print_grid=False)

    if style == 'flat':
        layout_3D = dict(
            xaxis=dict(range=[0, 360]),
            yaxis=dict(range=[0, 181]),
            aspectmode='manual',
            aspectratio=dict(x=3.6, y=1.81, z=1)
        )
    else:
        layout_3D = dict(
            xaxis=dict(range=[-1, 1]),
            yaxis=dict(range=[-1, 1]),
            zaxis=dict(range=[-1, 1]),
            aspectmode='cube'
        )

    rows, cols = _np.mgrid[1:rows + 1, 1: cols + 1]
    rows = rows.flatten()
    cols = cols.flatten()
    for IDX in range(0, len(viz_data)):
        cur_row = int(rows[IDX])
        cur_col = int(cols[IDX])
        fig.add_trace(genVisual(viz_data[IDX], style=style, normalize=normalize), cur_row, cur_col)
        fig.layout[f'scene{IDX + 1:d}'].update(layout_3D)

    if title is not None:
        fig.layout.update(title=title)
        filename = f'{title}.html'
    else:
        filename = f'{current_time()}.html'

    if env_info() == 'jupyter_notebook':
        plotly_off.iplot(fig)
    else:
        plotly_off.plot(fig, filename=filename) 

# 需要导入模块: from plotly import offline [as 别名]
# 或者: from plotly.offline import iplot [as 别名]
def plotly_grid(data, indexed=True):
    return iplot(ff.create_table(data), filename='index_table_pd') 

# 需要导入模块: from plotly import offline [as 别名]
# 或者: from plotly.offline import iplot [as 别名]
def plot2(self, ticker=None, notebook=False):

        returns_df = self.balance_df.pct_change(
        ).dropna()

        returns_df.columns = ['returns']
        fig = plotly.tools.make_subplots(
            rows=5, cols=2,
            shared_xaxes=True,
            vertical_spacing=0.001)

        fig['layout'].update(height=1500)

        self.append_trace(fig, self.positions_df, 2, 1)
        self.append_trace(fig, self.balance_df, 3, 1)
        self.append_trace(fig, self.holding_pnl_df, 4, 1)
        self.append_trace(fig, self.commission_df, 5, 1)
        self.append_trace(fig, self.margin_df, 1, 1)
        self.append_trace(fig, returns_df, 2, 2, 'bar')
        # fig['layout']['showlegend'] = True

        if notebook:
            plotly.offline.init_notebook_mode()
            py.iplot(fig, filename='OnePy_plot.html', validate=False)
        else:
            py.plot(fig, filename='OnePy_plot.html', validate=False) 

# 需要导入模块: from plotly import offline [as 别名]
# 或者: from plotly.offline import iplot [as 别名]
def showTrace(trace, layout=None, title=None):
    """ Wrapper around Plotly's offline .plot() function

    Parameters
    ----------
    trace : plotly_trace
        Plotly generated trace to be displayed offline
    layout : plotly.graph_objs.Layout, optional
        Layout of plot to be displayed offline
    title : str, optional
        Title of plot to be displayed offline
    # colorize : bool, optional
    #     Toggles bw / colored plot [Default: True]

    Returns
    -------
    fig : plotly_fig_handle
        JSON representation of generated figure
    """
    if layout is None:
        layout = go.Layout(
            scene=dict(
                xaxis=dict(range=[-1, 1]),
                yaxis=dict(range=[-1, 1]),
                zaxis=dict(range=[-1, 1]),
                aspectmode='cube'
            )
        )
    # Wrap trace in array if needed
    if not isinstance(trace, list):
        trace = [trace]

    fig = go.Figure(
        data=trace,
        layout=layout
    )

    if title is not None:
        fig.layout.update(title=title)
        filename = f'{title}.html'
    else:
        try:
            filename = f'{fig.layout.title}.html'
        except TypeError:
            filename = f'{current_time()}.html'

    # if colorize:
    #    data[0].autocolorscale = False
    #    data[0].surfacecolor = [0, 0.5, 1]
    if env_info() == 'jupyter_notebook':
        plotly_off.init_notebook_mode()
        plotly_off.iplot(fig)
    else:
        plotly_off.plot(fig, filename=filename)

    return fig 

# 需要导入模块: from plotly import offline [as 别名]
# 或者: from plotly.offline import iplot [as 别名]
def get_image_download_script(caller):
    """
    This function will return a script that will download an image of a Plotly
    plot.

    Keyword Arguments:
    caller ('plot', 'iplot') -- specifies which function made the call for the
        download script. If `iplot`, then an extra condition is added into the
        download script to ensure that download prompts aren't initiated on
        page reloads.
    """

    if caller == 'iplot':
        check_start = 'if(document.readyState == \'complete\') {{'
        check_end = '}}'
    elif caller == 'plot':
        check_start = ''
        check_end = ''
    else:
        raise ValueError('caller should only be one of `iplot` or `plot`')

    return(
             ('<script>'
              'function downloadimage(format, height, width,'
              ' filename) {{'
              'var p = document.getElementById(\'{plot_id}\');'
              'Plotly.downloadImage(p, {{format: format, height: height, '
              'width: width, filename: filename}});'
              '}};' +
              check_start +
              'if(confirm(\'Do you want to save this image as '
              '{filename}.{format}?\\n\\n'
              'For higher resolution images and more export options, '
              'consider making requests to our image servers. Type: '
              'help(py.image) for more details.'
              '\')) {{'
              'downloadimage(\'{format}\', {height}, {width}, '
              '\'{filename}\');}}' +
              check_end +
              '</script>'
              )
    ) 

# 需要导入模块: from plotly import offline [as 别名]
# 或者: from plotly.offline import iplot [as 别名]
def plot(self, ticker=None, notebook=False):

        fig = plotly.tools.make_subplots(
            rows=5, cols=1,
            shared_xaxes=True,
            vertical_spacing=0.001,
            specs=[[{}],
                   [{}],
                   [{'rowspan': 2}],
                   [None],
                   [{}]],)

        # fig['layout'].update(height=1500)

        if isinstance(ticker, str):
            ticker = [ticker]

        for i in ticker:
            close_df = self.ohlc_df(i)[['close']]
            close_df.columns = [i]
            #  volume_df = self.ohlc_df(i)[['volume']]
            #  volume_df.columns = [i+' volume']
            self.append_trace(fig, close_df, 3, 1)
            #  self.append_trace(fig, volume_df, 3, 1,
            #  plot_type='bar', legendly_visible=True)
            #  fig['data'][-1].update(dict(yaxis='y6', opacity=0.5))

        #  for i in ticker:
            #  self.append_candlestick_trace(fig, self.ohlc_df(i), 3, 1, i)

        self.append_trace(fig, self.balance_df, 1, 1)
        self.append_trace(fig, self.cash_df, 1, 1)
        self.append_trace(fig, self.holding_pnl_df, 2, 1)
        self.append_trace(fig, self.commission_df, 2,
                          1, legendly_visible=True)
        self.append_trace(fig, self.positions_df, 5, 1)

        total_holding_pnl = sum((i[i.columns[0]] for i in self.holding_pnl_df))
        total_holding_pnl = pd.DataFrame(total_holding_pnl)
        total_holding_pnl.columns = ['total_holding_pnl']
        self.append_trace(fig, total_holding_pnl, 2, 1)

        fig['layout']['yaxis'].update(
            dict(overlaying='y3', side='right', showgrid=False))
        # fig['layout']['xaxis']['type'] = 'category'
        # fig['layout']['xaxis']['rangeslider']['visible'] = False
        # fig['layout']['xaxis']['tickangle'] = 45
        fig['layout']['xaxis']['visible'] = False
        fig['layout']['hovermode'] = 'closest'
        fig['layout']['xaxis']['rangeslider']['visible'] = False

        if notebook:
            plotly.offline.init_notebook_mode()
            py.iplot(fig, filename='OnePy_plot.html', validate=False)
        else:
            py.plot(fig, filename='OnePy_plot.html', validate=False)