#!/usr/bin/env python # coding: utf-8 # #### New to Plotly? # Plotly's Python library is free and open source! [Get started](https://plotly.com/python/getting-started/) by downloading the client and [reading the primer](https://plotly.com/python/getting-started/). #
You can set up Plotly to work in [online](https://plotly.com/python/getting-started/#initialization-for-online-plotting) or [offline](https://plotly.com/python/getting-started/#initialization-for-offline-plotting) mode, or in [jupyter notebooks](https://plotly.com/python/getting-started/#start-plotting-online). #
We also have a quick-reference [cheatsheet](https://images.plot.ly/plotly-documentation/images/python_cheat_sheet.pdf) (new!) to help you get started! # #### Basic Wind Rose Chart # In[2]: import plotly.plotly as py import plotly.graph_objs as go trace1 = go.Barpolar( r=[77.5, 72.5, 70.0, 45.0, 22.5, 42.5, 40.0, 62.5], text=['North', 'N-E', 'East', 'S-E', 'South', 'S-W', 'West', 'N-W'], name='11-14 m/s', marker=dict( color='rgb(106,81,163)' ) ) trace2 = go.Barpolar( r=[57.49999999999999, 50.0, 45.0, 35.0, 20.0, 22.5, 37.5, 55.00000000000001], text=['North', 'N-E', 'East', 'S-E', 'South', 'S-W', 'West', 'N-W'], name='8-11 m/s', marker=dict( color='rgb(158,154,200)' ) ) trace3 = go.Barpolar( r=[40.0, 30.0, 30.0, 35.0, 7.5, 7.5, 32.5, 40.0], text=['North', 'N-E', 'East', 'S-E', 'South', 'S-W', 'West', 'N-W'], name='5-8 m/s', marker=dict( color='rgb(203,201,226)' ) ) trace4 = go.Barpolar( r=[20.0, 7.5, 15.0, 22.5, 2.5, 2.5, 12.5, 22.5], text=['North', 'N-E', 'East', 'S-E', 'South', 'S-W', 'West', 'N-W'], name='< 5 m/s', marker=dict( color='rgb(242,240,247)' ) ) data = [trace1, trace2, trace3, trace4] layout = go.Layout( title='Wind Speed Distribution in Laurel, NE', font=dict( size=16 ), legend=dict( font=dict( size=16 ) ), radialaxis=dict( ticksuffix='%' ), orientation=270 ) fig = go.Figure(data=data, layout=layout) py.iplot(fig, filename='polar-area-chart') # #### Reference # # See https://plotly.com/python/reference/#barpolar for more information and chart attribute options! # In[1]: from IPython.display import display, HTML display(HTML('')) display(HTML('')) get_ipython().system(' pip install git+https://github.com/plotly/publisher.git --upgrade') import publisher publisher.publish( 'wind-rose.ipynb', 'python/wind-rose-charts/', 'Python Wind Rose Charts | plotly', 'How to graph wind rose charts in python. Wind Rose charts display wind speed and direction of a given location. ', title = 'Python Wind Rose Charts | plotly', name = 'Wind Rose Charts', has_thumbnail='true', thumbnail='thumbnail/wind-rose.jpg', language='python', page_type='example_index', display_as='scientific', order=8, ipynb= '~notebook_demo/38') # In[ ]: