'ploting a raster image in matplotlib
im trying to display a raster image in matplotlib the image looks like this
i can do this with rasterio
import rasterio as rs
ds =rs.open('image')
show(ds)
what i want to do is change the cmap to a differnt color spectrum to build a data set for image calssifcation. so like this
show(ds, cmap = "Spectral")
the problem is I then have to save this large image and then go to that new image location and extract the data. this just take to long for the dataset i have. so I want to do with matplotilp so I can set the cmap with out having to save the image or display the image. but when i try to load the image into matplotlib I get an image back like this.
array = ds.read(1)
fig = plt.imshow(array)
plt.show()
i receive this image back
the profile of the raster = {'driver': 'GTiff', 'dtype': 'float32', 'nodata': -32768.0, 'width': 29864, 'height': 22223, 'count': 1, 'crs': CRS.from_epsg(32633), 'transform': Affine(10.0, 0.0, 113068.92839579273, 0.0, -10.0, 5004940.946787545), 'tiled': False, 'interleave': 'band'}
i think the problem might have to do with 'dtype': 'float32', 'nodata': -32768.0
what i tried doing was setting the vmax and vmin like this fig = plt.imshow(array,vmin =(array.min()), vmax = (array.max()) this still didn't work. would really appreciate some help with being able to prosses this image in matplotlib or a way to setting the cmap to a different color setting. so I can exstat the pixel from areas of interest to then build an image classification model from these images.
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