Menu
I have a table which looks like this
I have the highlighted part as a matrix of which I want to do an imshow. I want to have the x-scale of the plot logarithmic, as one can understand by looking at the parameter values in the topmost row. How to do this is matplotlib?
411
pyplot library can be used to change the y-axis or x-axis scale to logarithmic respectively. The method yscale() or xscale() takes a single value as a parameter which is the type of conversion of the scale, to convert axes to logarithmic scale we pass the “log” keyword or the matplotlib. scale.
Use the extent parameter of imshow to map the image buffer pixel coordinates to a data space coordinate system. Next, set the aspect ratio of the image manually by supplying a value such as "aspect=4" or let it auto-scale by using aspect='auto'. This will prevent stretching of the image.
To change the range of X and Y axes, we can use xlim() and ylim() methods.
You want to use pcolor, not imshow. Here's an example:
import numpy as np
import matplotlib.pyplot as plt
fig, ax = plt.subplots()
Z = np.random.random(size=(7,7))
x = 10.0 ** np.arange(-2, 5)
y = 10.0 ** np.arange(-4, 3)
ax.set_yscale('log')
ax.set_xscale('log')
ax.pcolor(x, y, Z)
Which give me:
111
If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
Donate Us With
