Python plotly.offline.iplot() Examples
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code examples of plotly.offline.iplot().
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Example #1
Source File: explorer.py From lens with Apache License 2.0 | 6 votes |
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)
Example #2
Source File: utils.py From word-mesh with MIT License | 6 votes |
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)
Example #3
Source File: viz.py From ConvLab with MIT License | 5 votes |
def plot(*args, **kwargs): if util.is_jupyter(): return iplot(*args, **kwargs)
Example #4
Source File: VisPlotly.py From NURBS-Python with MIT License | 5 votes |
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)
Example #5
Source File: plot.py From sound_field_analysis-py with MIT License | 5 votes |
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)
Example #6
Source File: grid_plotly.py From lantern with Apache License 2.0 | 5 votes |
def plotly_grid(data, indexed=True): return iplot(ff.create_table(data), filename='index_table_pd')
Example #7
Source File: by_plotly.py From OnePy with MIT License | 5 votes |
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)
Example #8
Source File: viz.py From SLM-Lab with MIT License | 5 votes |
def plot(*args, **kwargs): if util.is_jupyter(): return iplot(*args, **kwargs)
Example #9
Source File: plot.py From sound_field_analysis-py with MIT License | 4 votes |
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
Example #10
Source File: offline.py From lddmm-ot with MIT License | 4 votes |
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>' ) )
Example #11
Source File: by_plotly.py From OnePy with MIT License | 4 votes |
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)