My data is 2D image in format of numpy.array. By the following code:
fig = plt.figure()
ax = fig.add_subplot(111)
ax.imshow(visu_base)
plt.show()
I get a color image from Python. But, how can I show it in gray level?
My data is 2D image in format of numpy.array. By the following code:
fig = plt.figure()
ax = fig.add_subplot(111)
ax.imshow(visu_base)
plt.show()
I get a color image from Python. But, how can I show it in gray level?
The answer is in the api docs of the imshow command[1]
cmap : Colormap, optional, default: None
If None, default to rc image.cmap value. cmap is ignored when X has RGB(A) information
imshow takes an optional parameter cmap, which controls the color mapping.
Here can find an overview of the available color mappings defined in matplotlib[2]
You could do something like that:
import matplotlib as mpl
fig = plt.figure()
ax = fig.add_subplot(111)
ax.imshow(visu_base, cmap=mpl.cm.gray)
plt.show()