# Generated by pandoc-plot 1.5.4
import matplotlib.pyplot as plt
import numpy as np

np.random.seed(2019)

from skued import diffread, autocenter
from pathlib import Path

im1 = diffread(Path("images") / "autocenter" / "graphite.tif")
mask1 = diffread(Path("images") / "autocenter" / "graphite_mask.tif")

im2 = diffread(Path("images") / "mnxc" / "Cr_1.tif")
mask2 = np.ones_like(im2, dtype=bool)
mask2[0:1250, 950:1250] = False

fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(6,3))

for im, mask, ax in zip([im1, im2], [mask1, mask2], [ax1, ax2]):

    r, c = autocenter(im=im, mask=mask)
    ax.imshow(im, vmin=0, vmax=200, cmap='inferno')
    ax.scatter(c, r, color='r')
    ax.axhline(y=r, linestyle='dashed', linewidth=1, color='w')
    ax.axvline(x=c, linestyle='dashed', linewidth=1, color='w')
    ax.axis('off')

plt.tight_layout()
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