Change the label size and tick label size of colorbar

MCVE Code Sample

# Your code here
import xarray as xr

airtemps = xr.tutorial.open_dataset('air_temperature')
air = airtemps.air - 273.15
air2d = air.isel(time=500)
air2d.plot.pcolormesh(add_colorbar=True, add_labels=True,
                      cbar_kwargs=dict(orientation='horizontal',
                      pad=0.15, shrink=1, label='Temperature ($^{\circ}$C)'))

Expected Output

Problem Description

Is it possible to change the label size and ticks label size of colorbar? size and labelsize don’t work in cbar_kwargs.

Output of xr.show_versions()

# Paste the output here xr.show_versions() here INSTALLED VERSIONS ------------------ commit: None python: 3.6.7 (default, Feb 28 2019, 07:28:18) [MSC v.1900 64 bit (AMD64)] python-bits: 64 OS: Windows OS-release: 10 machine: AMD64 processor: Intel64 Family 6 Model 158 Stepping 9, GenuineIntel byteorder: little LC_ALL: None LANG: None LOCALE: None.None libhdf5: 1.10.4 libnetcdf: 4.6.2

xarray: 0.12.1 pandas: 0.24.2 numpy: 1.16.3 scipy: 1.2.1 netCDF4: 1.5.1.1 pydap: None h5netcdf: None h5py: 2.9.0 Nio: None zarr: None cftime: 1.0.3.4 nc_time_axis: None PseudonetCDF: None rasterio: 1.0.22 cfgrib: None iris: None bottleneck: None dask: 1.2.0 distributed: 1.27.1 matplotlib: 3.1.1 cartopy: 0.17.0 seaborn: None setuptools: 41.0.1 pip: 19.1 conda: None pytest: None IPython: 7.6.1 sphinx: None

[zxdawn]

@dcherian Thanks! Figure out now:

import xarray as xr
import matplotlib.pyplot as plt

airtemps = xr.tutorial.open_dataset('air_temperature')
air = airtemps.air - 273.15
air2d = air.isel(time=500)

im = air2d.plot.pcolormesh(add_colorbar=False)
cb = plt.colorbar(im, orientation="horizontal", pad=0.15)
cb.set_label(label='Temperature ($^{\circ}$C)', size='large', weight='bold')
cb.ax.tick_params(labelsize='large')

[aaraney]

@Ricbrag something like this should work:

import numpy as np
import matplotlib as mpl
import matplotlib.pyplot as plt

a=np.random.rand(10,10)
im=plt.imshow(a)
cb=plt.colorbar(im,orientation='horizontal').set_label(label='Label',size=20,weight='bold')

im.figure.axes[0].tick_params(axis="both", labelsize=5)
im.figure.axes[1].tick_params(axis="x", labelsize=20)

plt.show()