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"""
Test creation of basic plot elements
"""
import numpy as np
import matplotlib.pyplot as plt
from .. import fig_to_dict, fig_to_html
from numpy.testing import assert_equal
def test_line():
fig, ax = plt.subplots()
ax.plot(np.arange(10), np.random.random(10),
'--k', alpha=0.3, zorder=10, lw=2)
rep = fig_to_dict(fig)
axrep = rep['axes'][0]
line = axrep['lines'][0]
assert_equal(list(sorted(line.keys())),
['alpha', 'color', 'coordinates', 'dasharray', 'data', 'id',
'linewidth', 'xindex', 'yindex', 'zorder'])
assert_equal(line['alpha'], 0.3)
assert_equal(line['color'], "#000000")
assert_equal(line['coordinates'], 'data')
assert_equal(line['dasharray'], '6,6')
assert_equal(line['zorder'], 10)
assert_equal(line['linewidth'], 2)
def test_markers():
fig, ax = plt.subplots()
ax.plot(np.arange(10), np.random.random(10),
'^k', alpha=0.3, zorder=10, mec='r', mew=2, c='b')
rep = fig_to_dict(fig)
axrep = rep['axes'][0]
markers = axrep['markers'][0]
assert_equal(list(sorted(markers.keys())),
['alpha', 'coordinates', 'data', 'edgecolor', 'edgewidth',
'facecolor', 'id', 'markerpath', 'xindex', 'yindex',
'zorder'])
assert_equal(markers['alpha'], 0.3)
assert_equal(markers['zorder'], 10)
assert_equal(markers['coordinates'], 'data')
assert_equal(markers['edgecolor'], '#FF0000')
assert_equal(markers['edgewidth'], 2)
assert_equal(markers['facecolor'], '#0000FF')
assert_equal(markers['markerpath'][0],
[[0.0, -3.0], [-3.0, 3.0], [3.0, 3.0]])
assert_equal(markers['markerpath'][1],
['M', 'L', 'L', 'Z'])
def test_scatter():
fig, ax = plt.subplots()
ax.scatter(np.arange(10), np.random.random(10), c='r', s=30,
marker='^', alpha=0.3, lw=2, edgecolors='b', zorder=10)
rep = fig_to_dict(fig)
axrep = rep['axes'][0]
points = axrep['collections'][0]
assert_equal(list(sorted(points.keys())),
['alphas', 'edgecolors', 'edgewidths', 'facecolors', 'id',
'offsetcoordinates', 'offsets', 'pathcoordinates', 'paths',
'pathtransforms', 'xindex', 'yindex', 'zorder'])
assert_equal(points['alphas'], [0.3])
assert_equal(points['zorder'], 10)
assert_equal(points['edgecolors'], ['#0000FF'])
assert_equal(points['facecolors'], ['#FF0000'])
assert_equal(points['edgewidths'], (2.0,))
assert_equal(points['paths'][0][0],
[[0.0, 0.5], [-0.5, -0.5], [0.5, -0.5]])
assert_equal(points['paths'][0][1],
['M', 'L', 'L', 'Z'])
assert_equal(points['pathtransforms'],
[[6.085806194501846, 0.0, 0.0, 6.085806194501846, 0.0, 0.0]])
def test_patch():
fig, ax = plt.subplots()
ax.add_patch(plt.Rectangle((0, 0), 1, 2, alpha=0.2, linewidth=2,
edgecolor='green', facecolor='red', zorder=3))
rep = fig_to_dict(fig)
axrep = rep['axes'][0]
path = axrep['paths'][0]
assert_equal(list(sorted(path.keys())),
['alpha', 'coordinates', 'dasharray', 'data', 'edgecolor',
'edgewidth', 'facecolor', 'id', 'pathcodes',
'xindex', 'yindex', 'zorder'])
assert_equal(path['alpha'], 0.2)
assert_equal(path['edgecolor'], "#008000")
assert_equal(path['facecolor'], "#FF0000")
assert_equal(path['edgewidth'], 2)
assert_equal(path['zorder'], 3)
def test_text():
fig, ax = plt.subplots()
ax.text(0.1, 0.1, "abcde", size=14, color='red', alpha=0.7,
rotation=15, ha='center', va='center')
rep = fig_to_dict(fig)
axrep = rep['axes'][0]
text = axrep['texts'][0]
assert_equal(list(sorted(text.keys())),
['alpha', 'color', 'coordinates', 'fontsize', 'h_anchor',
'id', 'position', 'rotation', 'text', 'v_baseline',
'zorder'])
assert_equal(text['alpha'], 0.7)
assert_equal(text['color'], "#FF0000")
assert_equal(text['text'], "abcde")
assert_equal(text['rotation'], -15)
assert_equal(text['fontsize'], 14)
assert_equal(text['position'], [0.1, 0.1])
assert_equal(text['h_anchor'], 'middle')
assert_equal(text['v_baseline'], 'central')
assert_equal(text['zorder'], 3)
assert_equal(text['coordinates'], "data")
def test_image():
fig, ax = plt.subplots()
ax.imshow(np.random.random((20, 20)), cmap=plt.cm.binary,
alpha=0.2, zorder=4, extent=(2, 4, 3, 5))
rep = fig_to_dict(fig)
axrep = rep['axes'][0]
image = axrep['images'][0]
# TODO: how to test data?
assert_equal(list(sorted(image.keys())),
['alpha', 'coordinates', 'data', 'extent', 'id', 'zorder'])
assert_equal(image['alpha'], 0.2)
assert_equal(image['extent'], (2, 4, 3, 5))
assert_equal(image['zorder'], 4)
assert_equal(image['coordinates'], "data")
def test_ticks():
plt.xticks([1,2,3])
rep = fig_to_html(plt.gcf())
# TODO: use casperjs here if available to confirm that the xticks
# are rendeder as expected
# pandas tslib generates ticks with unusual dtypes
# test that they are converted to html successfully
plt.xticks(np.array([1,2,3], dtype=np.int32))
rep = fig_to_html(plt.gcf())
# custom ticks should appear in the correct place, with the
# correct text
positions, labels = [0, 1, 10], ['A','B','C']
rep = fig_to_html(plt.gcf())
# TODO: use casperjs here if available to confirm that the xticks
# are rendeder as expected
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