I'm using the following code to produce a sort of binary heatmap:
import numpy as np
import matplotlib.colors as mlc
import matplotlib.pyplot as mlp
states = ['AAAA', 'BBBB', 'CCCC', 'DDDD']
walk = [1, 2, 3, 2, 3, 2, 3, 2, 3, 2]
states_len = len(states)
walk_len = len(walk)
img = np.zeros((states_len, walk_len), dtype=float)
for i, s in enumerate(walk):
img[s, i] = 1.0
figure, ax = mlp.subplots()
color_map = mlc.LinearSegmentedColormap.from_list('ColorMap', [(1.000, 1.000, 1.000), (0.984, 0.501, 0.447)])
ax.imshow(img, cmap=color_map, interpolation='none')
ax.set_xlabel('Steps', fontsize=13)
ax.set_xticks(np.arange(0, walk_len, 1))
ax.set_xticks(np.arange(-0.5, walk_len, 1), minor=True)
ax.set_xticklabels(np.arange(1, walk_len + 1, 1))
ax.set_ylabel('States', fontsize=13)
ax.set_yticks(np.arange(0, states_len, 1))
ax.set_yticks(np.arange(-.5, states_len, 1), minor=True)
ax.set_yticklabels(states)
ax.grid(which='minor', color='k')
ax.set_title('Walkplot (Sequence)', fontsize=15, fontweight='bold')
And it's producing weird results:
As you may notice, the color spots look not lined up with respect to the grid squares. On the top of that, sometimes grid lines don't have a uniform size, some looks bigger than others.
I think it must be related to the aspect ratio or to the figure size, but I'm clueless about a potential fix. How can I solve this issue?
My current setup:
As the comments indicated the problem seems to go away at higher DPI, for future users this is shown below,
However it is also influenced by the figsize
parameter, set either with matplotlib
rcParams
or with figsize(height, width)
in construction of the figure
- larger figures require higher DPI for the display problem to disappear (though it may be necessary to view the full size images to see the effect, instead of the inline display), ie
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