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Plotly's Python library is free and open source! Get started by downloading the client and reading the primer.
You can set up Plotly to work in online or offline mode, or in jupyter notebooks.
We also have a quick-reference cheatsheet (new!) to help you get started!
Note: Animations are available in version 1.12.10+ Run pip install plotly --upgrade to update your Plotly version.
importplotlyplotly.__version__Let us import some apple stock data for this animation.
importplotly.plotlyaspyfromplotly.grid_objsimportGrid, Columnfromplotly.toolsimportFigureFactoryasFFimporttimefromdatetimeimportdatetimeimportnumpyasnpimportpandasaspdappl=pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/master/finance-charts-apple.csv') appl.columns= [col.replace('AAPL.', '') forcolinappl.columns] apple_data_matrix=appl.head(10).round(2) table=FF.create_table(apple_data_matrix) py.iplot(table, filename='apple_data_table')defto_unix_time(dt): epoch=datetime.utcfromtimestamp(0) return (dt-epoch).total_seconds() *1000appl_price=list(appl['Adjusted']) my_columns= [] forkinrange(len(appl.Date) -1): my_columns.append(Column(list(appl.Date)[:k+1], 'x{}'.format(k+1))) my_columns.append(Column(appl_price[:k+1], 'y{}'.format(k+1))) grid=Grid(my_columns) py.grid_ops.upload(grid, 'AAPL-daily-stock-price'+str(time.time()), auto_open=False)data=[dict(type='scatter', xsrc=grid.get_column_reference('x1'), ysrc=grid.get_column_reference('y1'), name='AAPL', mode='lines', line=dict(color='rgb(114, 186, 59)'), fill='tozeroy', fillcolor='rgba(114, 186, 59, 0.5)')] axis=dict(ticklen=4, mirror=True, zeroline=False, showline=True, autorange=False, showgrid=False) layout=dict(title='AAPL Daily Stock Price', font=dict(family='Balto'), showlegend=False, autosize=False, width=800, height=400, xaxis=dict(axis, **{'nticks':12, 'tickangle':-45, 'range': [to_unix_time(datetime(2015, 2, 17)), to_unix_time(datetime(2016, 11, 30))]}), yaxis=dict(axis, **{'title': '$', 'range':[0,170]}), updatemenus=[dict(type='buttons', showactive=False, y=1, x=1.1, xanchor='right', yanchor='top', pad=dict(t=0, r=10), buttons=[dict(label='Play', method='animate', args=[None, dict(frame=dict(duration=50, redraw=False), transition=dict(duration=0), fromcurrent=True, mode='immediate')])])]) frames=[{'data':[{'xsrc': grid.get_column_reference('x{}'.format(k+1)), 'ysrc': grid.get_column_reference('y{}'.format(k+1))}], 'traces': [0] } forkinrange(len(appl.Date) -1)] fig=dict(data=data, layout=layout, frames=frames) py.icreate_animations(fig, 'AAPL-stockprice'+str(time.time()))For additional information on filled area plots in Plotly see: https://plot.ly/python/filled-area-plots/. For more documentation on creating animations with Plotly, see https://plot.ly/python/#animations.
fromIPython.displayimportdisplay, HTMLdisplay(HTML('<link href="//fonts.googleapis.com/css?family=Open+Sans:600,400,300,200|Inconsolata|Ubuntu+Mono:400,700" rel="stylesheet" type="text/css" />')) display(HTML('<link rel="stylesheet" type="text/css" href="http://help.plot.ly/documentation/all_static/css/ipython-notebook-custom.css">')) !pipinstallgit+https://github.com/plotly/publisher.git--upgradeimportpublisherpublisher.publish( 'filled-area-animation.ipynb', 'python/filled-area-animation/', 'Filled-Area Animation | plotly', 'How to make an animated filled-area plot with apple stock data in Python.', title='Filled-Area Animation | plotly', name='Filled-Area Animation', language='python', page_type='example_index', has_thumbnail='true', thumbnail='thumbnail/apple_stock_animation.gif', display_as='animations', ipynb='~notebook_demo/128', order=3)