Subplot of Windrose in matplotlib

Question

I am trying to make a figure with 4 subplots of windrose, But I realised that the windrose only have axis like this:ax = WindroseAxes.from_ax() So, how can I draw a subplots with windrose?

Asked By: Owen

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Source

Answer 1

There are two solutions:

(a) creating axes from rectangles

First of all there is a similar question already here: How to add specific axes to matplotlib subplot?

There, the solution is to create a rectangle rect with coordinates of the new subplot axes within the figure and then call ax = WindroseAxes(fig, rect)

An easier to understand example would be

from windrose import WindroseAxes
from matplotlib import pyplot as plt
import numpy as np
ws = np.random.random(500) * 6
wd = np.random.random(500) * 360

fig=plt.figure()
rect=[0.5,0.5,0.4,0.4] 
wa=WindroseAxes(fig, rect)
fig.add_axes(wa)
wa.bar(wd, ws, normed=True, opening=0.8, edgecolor='white')

plt.show()

(b) adding a projection

Now it may be rather annoying to create this rectangle and it would be much better to be able to use the matplotlib subplot functionality.
One suggestion that has been made here is to register the WindroseAxes as a projection into matplotlib. To this end, you need to edit the file windrose.py in the site-packages/windrose as follows:

Include an import from matplotlib.projections import register_projection at the beginning of the file.

Then add a name variable :

class WindroseAxes(PolarAxes):
    name = 'windrose'
    ...

Finally, at the end of windrose.py, you add:
```
register_projection(WindroseAxes)
```

Once that is done, you can easily create your windrose axes using the projection argument to the matplotlib axes:

from matplotlib import pyplot as plt
import windrose
import matplotlib.cm as cm
import numpy as np

ws = np.random.random(500) * 6
wd = np.random.random(500) * 360

fig = plt.figure()
ax = fig.add_subplot(221, projection="windrose")

ax.contourf(wd, ws, bins=np.arange(0, 8, 1), cmap=cm.hot)

ax.legend(bbox_to_anchor=(1.02, 0))
plt.show()

Answered By: ImportanceOfBeingErnest

Answer 2

To make the subplots on the same scale (e.g. for monthly data), simply add the rmax argument in the add_subplot function. For me worked:

ax = fig.add_subplot(nrows, ncols, month, projection="windrose", rmax = 50)

Answered By: user12182579

Answer 3

Inspired by the accepted answer (by ImportanceOfBeingErnest) I used the following to add a windrose to an existing subplots instance:

import matplotlib as plt
from windrose import WindroseAxes  
 
fig, axes = plt.subplots(1,2)
rect=axes[0,1].get_position()
wax=WindroseAxes(fig, rect)
wax.bar(wd, ws)
axes[0,1].axis('off')

Answered By: Io Odderskov

Subplot of Windrose in matplotlib

Question:

Answers:

(a) creating axes from rectangles

(b) adding a projection