Wind Rose and Polar Bar Charts in Python
How to graph wind rose charts in python. Wind Rose charts display wind speed and direction of a given location.
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Wind Rose Chart with Plotly Express¶
A wind rose chart (also known as a polar bar chart) is a graphical tool used to visualize how wind speed and direction are typically distributed at a given location. You can use the
px.bar_polar function from Plotly Express as below, otherwise use
go.Barpolar as explained in the next section.
Plotly Express is the easy-to-use, high-level interface to Plotly, which operates on a variety of types of data and produces easy-to-style figures.
import plotly.express as px df = px.data.wind() fig = px.bar_polar(df, r="frequency", theta="direction", color="strength", template="plotly_dark", color_discrete_sequence= px.colors.sequential.Plasma_r) fig.show()
import plotly.graph_objects as go fig = go.Figure() fig.add_trace(go.Barpolar( r=[77.5, 72.5, 70.0, 45.0, 22.5, 42.5, 40.0, 62.5], name='11-14 m/s', marker_color='rgb(106,81,163)' )) fig.add_trace(go.Barpolar( r=[57.5, 50.0, 45.0, 35.0, 20.0, 22.5, 37.5, 55.0], name='8-11 m/s', marker_color='rgb(158,154,200)' )) fig.add_trace(go.Barpolar( r=[40.0, 30.0, 30.0, 35.0, 7.5, 7.5, 32.5, 40.0], name='5-8 m/s', marker_color='rgb(203,201,226)' )) fig.add_trace(go.Barpolar( r=[20.0, 7.5, 15.0, 22.5, 2.5, 2.5, 12.5, 22.5], name='< 5 m/s', marker_color='rgb(242,240,247)' )) fig.update_traces(text=['North', 'N-E', 'East', 'S-E', 'South', 'S-W', 'West', 'N-W']) fig.update_layout( title='Wind Speed Distribution in Laurel, NE', font_size=16, legend_font_size=16, polar_radialaxis_ticksuffix='%', polar_angularaxis_rotation=90, ) fig.show()
See function reference for
px.(bar_polar) or https://plotly.com/python/reference/barpolar/ for more information and chart attribute options!
What About Dash?¶
Learn about how to install Dash at https://dash.plot.ly/installation.
Everywhere in this page that you see
fig.show(), you can display the same figure in a Dash application by passing it to the
figure argument of the
Graph component from the built-in
dash_core_components package like this:
import plotly.graph_objects as go # or plotly.express as px fig = go.Figure() # or any Plotly Express function e.g. px.bar(...) # fig.add_trace( ... ) # fig.update_layout( ... ) import dash import dash_core_components as dcc import dash_html_components as html app = dash.Dash() app.layout = html.Div([ dcc.Graph(figure=fig) ]) app.run_server(debug=True, use_reloader=False) # Turn off reloader if inside Jupyter