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   import xarray as xr     
   import cartopy.crs as ccrs


    USA_PROJ = ccrs.AlbersEqualArea(central_longitude=-97., central_latitude=38.)
    g_simple = ds_by_month.t2m.plot(x='longitude',
                                    y='latitude',
                                    col='month',
                                    col_wrap=6,
                                    aspect=ds.dims['longitude'] / ds.dims['latitude'],
                                    subplot_kws=dict(projection=USA_PROJ),
                                    add_colorbar=False,
                                    transform=ccrs.PlateCarree())
    g_simple.add_colorbar(orientation='horizontal')
    for ax in g_simple.axes.ravel():
        ax.coastlines()
        ax.set_extent([-121, -72, 22.5, 50])

    plt.tight_layout()
    plt.show()

On running the code above, I get the foll. figure: enter image description here

How do I ensure that the colorbar is not overlapping the plots? the overlap happens even if I use the xarray default colorbar.

user308827
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1 Answers1

9

You could give the color bar its own set of axes and set the "bottom" value to negative so that it exceeds the bounding box, or otherwise set the subplots_adjust function using a keyword argument (i.e. hspace = 2 etc).

Here's an example with random data below (modified from matplotlib subplots example):

import numpy as np
import matplotlib.pyplot as plt

fig, axes = plt.subplots(nrows=2, ncols=6, figsize=(15,5))
for ax in axes.flat:
    im = ax.imshow(np.random.random((10,10)), vmin=0, vmax=1)

# color bar
fig.subplots_adjust(right=0.875) #also try using kwargs bottom, top, or hspace 
cbar_ax = fig.add_axes([0.1, -0.1, .8, .05]) #left, bottom, width, height
fig.colorbar(im, cax=cbar_ax, orientation="horizontal")

plt.show()

enter image description here

Lauren Oldja
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