Created
August 27, 2012 13:40
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Bug report for matplotlib
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import numpy as np | |
import matplotlib | |
from matplotlib import pyplot as plt | |
from matplotlib.collections import PatchCollection | |
from matplotlib import patches | |
""" | |
This code is meant to analyse where telomeres and centromers are most often | |
found in our experiments. | |
""" | |
save = True | |
X = np.load('X.npy') | |
im = np.load('im.npy') | |
a = np.load('im_binned.npy') | |
patch = [] | |
art = patches.Circle((1900, 1200), 300, ec="none") | |
patch.append(art) | |
art = patches.Circle((1200, 1200), 1000, ec="none") | |
patch.append(art) | |
font = "sans-serif" | |
fig = plt.figure(figsize=(6, 6)) | |
ax = fig.add_subplot(111) | |
ax.set_xlim((-1.2, 1.2)) | |
ax.set_ylim((-1.2, 1.2)) | |
# add a the nucleolus | |
plt.text(0.7, 0 - 0.15, "Nucleolus", ha="center", | |
family=font, size=14) | |
nucleolus = patches.Circle((0.7, 0), 0.3, ec="none") | |
nucleus = patches.Circle((0, 0), 1, ec="none") | |
collection = PatchCollection([nucleolus, nucleus], | |
match_original=False, linewidth=2, | |
linestyle='--', facecolor='None') | |
ax.add_collection(collection) | |
ax.scatter(X[:, 0], X[:, 1], alpha=0.2) | |
ax.set_axis_off() | |
if save: | |
fig.savefig('im1.png') | |
fig = plt.figure(figsize=(6, 6)) | |
ax = fig.add_subplot(111) | |
ax.set_xlim((0, 2400)) | |
ax.set_ylim((0, 2400)) | |
# add a the nucleolus | |
plt.text(1900, 1200, "Nucleolus", ha="center", | |
family=font, size=14) | |
collection = PatchCollection(patch, match_original=False, linewidth=2, | |
linestyle='--', facecolor='None') | |
ax.add_collection(collection) | |
ax.matshow(a) | |
ax.set_axis_off() | |
if save: | |
fig.savefig('im2.png') | |
fig = plt.figure(figsize=(6, 6)) | |
ax = fig.add_subplot(111) | |
ax.set_xlim((0, 2400)) | |
ax.set_ylim((0, 2400)) | |
plt.text(1900, 1200, "Nucleolus", ha="center", | |
family=font, size=14) | |
ax.add_collection(collection) | |
ax.matshow(im) | |
ax.set_axis_off() | |
if save: | |
fig.savefig('im3.png') | |
plt.show() |
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