Plotting Channels on Cartopy Map

[JesseWx2011]

I did reference #60, but it didn't seem to answer my question.

This is my code:

`
from goes2go.data import goes_nearesttime
from datetime import datetime
import matplotlib.pyplot as plt
import cartopy.feature as cfeature

G = goes_nearesttime(datetime(2025, 1, 21, 18), satellite='goes19', product='ABI', bands=10, return_as='xarray')

ax = plt.subplot(projection=G.rgb.crs)
ax.imshow(G.rgb.TrueColor(), **G.rgb.imshow_kwargs)
ax.coastlines()
ax.add_feature(cfeature.STATES, linewidth=0.5)
plt.title("GOES-18 True Color - 2025-01-21 18:00 UTX")
plt.show()
`

I tried using bands as in the discussion I referenced, but it errored... any methods?

[cmo84]

The issue appears to be the combination of both the bands (which should probably be a list) and the rgb recipe, which will only work when the necessary bands are present. The bands argument is a list of spectral bands by index e.g. [1, 2, 3, 14, 15] as opposed to the number of bands to include.

[JesseWx2011]

The issue appears to be the combination of both the bands (which should probably be a list) and the rgb recipe, which will only work when the necessary bands are present. The bands argument is a list of spectral bands by index e.g. [1, 2, 3, 14, 15] as opposed to the number of bands to include.

Touché. It does fetch it from the Amazon AWS Dataset, which contains the images of different channels.