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Sep 20, 2019
Merged

show off barpolar more #129

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45 changes: 13 additions & 32 deletions python/polar-chart.md
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Original file line number Diff line number Diff line change
Expand Up @@ -136,47 +136,28 @@ fig.update_layout(
fig.show()
```

#### Area Polar Chart
#### Polar Bar Chart

a.k.a matplotlib logo in a few lines of code

```python
import plotly.graph_objects as go

fig = go.Figure()

fig.add_trace(go.Scatterpolar(
r = [0, 1.5, 1.5, 0, 2.5, 2.5, 0],
theta = [0, 10, 25, 0, 205, 215, 0],
fillcolor = '#709BFF',
))
fig.add_trace(go.Scatterpolar(
r = [0, 3.5, 3.5, 0],
theta = [0, 55, 75, 0],
fillcolor = '#E4FF87',
))
fig.add_trace(go.Scatterpolar(
r = [0, 4.5, 4.5, 0, 4.5, 4.5, 0],
theta = [0, 100, 120, 0, 305, 320, 0],
fillcolor = '#FFAA70',
))
fig.add_trace(go.Scatterpolar(
r = [0, 4, 4, 0],
theta = [0, 165, 195, 0],
fillcolor = '#FFDF70',
))
fig.add_trace(go.Scatterpolar(
r = [0, 3, 3, 0],
theta = [0, 262.5, 277.5, 0],
fillcolor = '#B6FFB4',
))
fig = go.Figure(go.Barpolar(
r=[3.5, 1.5, 2.5, 4.5, 4.5, 4, 3],
theta=[65, 15, 210, 110, 312.5, 180, 270],
width=[20,15,10,20,15,30,15,],
marker_color=["#E4FF87", '#709BFF', '#709BFF', '#FFAA70', '#FFAA70', '#FFDF70', '#B6FFB4'],
marker_line_color="black",
marker_line_width=2,
))

fig.update_traces(mode='lines', fill='toself', line_color='black')
fig.update_layout(
template=None,
polar = dict(
radialaxis = dict(visible=True, range=[0, 5])
),
showlegend = False,
radialaxis = dict(range=[0, 5], showticklabels=False, ticks=''),
angularaxis = dict(showticklabels=False, ticks='')
)
)

fig.show()
Expand Down
10 changes: 5 additions & 5 deletions python/wind-rose-charts.md
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Original file line number Diff line number Diff line change
Expand Up @@ -29,7 +29,7 @@ jupyter:
ipynb: ~notebook_demo/38
language: python
layout: user-guide
name: Wind Rose Charts
name: Wind Rose and Polar Bar Charts
order: 8
page_type: example_index
permalink: python/wind-rose-charts/
Expand All @@ -40,12 +40,12 @@ jupyter:

### Wind Rose Chart with plotly express

A [wind rose chart](https://en.wikipedia.org/wiki/Wind_rose) is a graphical tool used to visualize how wind speed and direction are typically distributed at a given location. For data stored in a tidy pandas dataframe, use the `px.bar_polar` function from plotly express as below, otherwise use `go.Barpolar` as explained in the next section.
A [wind rose chart](https://en.wikipedia.org/wiki/Wind_rose) (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. For data stored in a tidy pandas dataframe, use the `px.bar_polar` function from plotly express as below, otherwise use `go.Barpolar` as explained in the next section.

```python
import plotly.express as px
wind = px.data.wind()
fig = px.bar_polar(wind, r="frequency", theta="direction",
fig = px.bar_polar(wind, r="frequency", theta="direction",
color="strength", template="plotly_dark",
color_discrete_sequence= px.colors.sequential.Plasma[-2::-1])
fig.show()
Expand Down Expand Up @@ -86,11 +86,11 @@ fig.update_layout(
legend_font_size=16,
polar_radialaxis_ticksuffix='%',
polar_angularaxis_rotation=90,

)
fig.show()
```

#### Reference

See https://plot.ly/python/reference/#barpolar for more information and chart attribute options!
See https://plot.ly/python/reference/#barpolar for more information and chart attribute options!