Skip to content

Latest commit

 

History

History
94 lines (82 loc) · 2.87 KB

wind-rose-charts.md

File metadata and controls

94 lines (82 loc) · 2.87 KB
jupyter
jupytext kernelspec language_info plotly
notebook_metadata_filter text_representation
all
extension format_name format_version jupytext_version
.md
markdown
1.1
1.1.1
display_name language name
Python 3
python
python3
codemirror_mode file_extension mimetype name nbconvert_exporter pygments_lexer version
name version
ipython
3
.py
text/x-python
python
python
ipython3
3.6.7
description display_as language layout name order page_type permalink thumbnail
How to graph wind rose charts in python. Wind Rose charts display wind speed and direction of a given location.
scientific
python
base
Wind Rose and Polar Bar Charts
19
u-guide
python/wind-rose-charts/
thumbnail/wind-rose.jpg

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()

Basic Wind Rose Chart

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()

Reference

See function reference for px.(bar_polar) or https://plotly.com/python/reference/barpolar/ for more information and chart attribute options!