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import numpy as np
import pandas as pd
from matplotlib.colors import to_rgba, to_rgba_array
import pytest
from numpy.testing import assert_array_equal
from seaborn._core.plot import Plot
from seaborn._marks.bar import Bar, Bars
class TestBar:
def plot_bars(self, variables, mark_kws, layer_kws):
p = Plot(**variables).add(Bar(**mark_kws), **layer_kws).plot()
ax = p._figure.axes[0]
return [bar for barlist in ax.containers for bar in barlist]
def check_bar(self, bar, x, y, width, height):
assert bar.get_x() == pytest.approx(x)
assert bar.get_y() == pytest.approx(y)
assert bar.get_width() == pytest.approx(width)
assert bar.get_height() == pytest.approx(height)
def test_categorical_positions_vertical(self):
x = ["a", "b"]
y = [1, 2]
w = .8
bars = self.plot_bars({"x": x, "y": y}, {}, {})
for i, bar in enumerate(bars):
self.check_bar(bar, i - w / 2, 0, w, y[i])
def test_categorical_positions_horizontal(self):
x = [1, 2]
y = ["a", "b"]
w = .8
bars = self.plot_bars({"x": x, "y": y}, {}, {})
for i, bar in enumerate(bars):
self.check_bar(bar, 0, i - w / 2, x[i], w)
def test_numeric_positions_vertical(self):
x = [1, 2]
y = [3, 4]
w = .8
bars = self.plot_bars({"x": x, "y": y}, {}, {})
for i, bar in enumerate(bars):
self.check_bar(bar, x[i] - w / 2, 0, w, y[i])
def test_numeric_positions_horizontal(self):
x = [1, 2]
y = [3, 4]
w = .8
bars = self.plot_bars({"x": x, "y": y}, {}, {"orient": "h"})
for i, bar in enumerate(bars):
self.check_bar(bar, 0, y[i] - w / 2, x[i], w)
def test_set_properties(self):
x = ["a", "b", "c"]
y = [1, 3, 2]
mark = Bar(
color=".8",
alpha=.5,
edgecolor=".3",
edgealpha=.9,
edgestyle=(2, 1),
edgewidth=1.5,
)
p = Plot(x, y).add(mark).plot()
ax = p._figure.axes[0]
for bar in ax.patches:
assert bar.get_facecolor() == to_rgba(mark.color, mark.alpha)
assert bar.get_edgecolor() == to_rgba(mark.edgecolor, mark.edgealpha)
# See comments in plotting method for why we need these adjustments
assert bar.get_linewidth() == mark.edgewidth * 2
expected_dashes = (mark.edgestyle[0] / 2, mark.edgestyle[1] / 2)
assert bar.get_linestyle() == (0, expected_dashes)
def test_mapped_properties(self):
x = ["a", "b"]
y = [1, 2]
mark = Bar(alpha=.2)
p = Plot(x, y, color=x, edgewidth=y).add(mark).plot()
ax = p._figure.axes[0]
colors = p._theme["axes.prop_cycle"].by_key()["color"]
for i, bar in enumerate(ax.patches):
assert bar.get_facecolor() == to_rgba(colors[i], mark.alpha)
assert bar.get_edgecolor() == to_rgba(colors[i], 1)
assert ax.patches[0].get_linewidth() < ax.patches[1].get_linewidth()
def test_zero_height_skipped(self):
p = Plot(["a", "b", "c"], [1, 0, 2]).add(Bar()).plot()
ax = p._figure.axes[0]
assert len(ax.patches) == 2
def test_artist_kws_clip(self):
p = Plot(["a", "b"], [1, 2]).add(Bar({"clip_on": False})).plot()
patch = p._figure.axes[0].patches[0]
assert patch.clipbox is None
class TestBars:
@pytest.fixture
def x(self):
return pd.Series([4, 5, 6, 7, 8], name="x")
@pytest.fixture
def y(self):
return pd.Series([2, 8, 3, 5, 9], name="y")
@pytest.fixture
def color(self):
return pd.Series(["a", "b", "c", "a", "c"], name="color")
def test_positions(self, x, y):
p = Plot(x, y).add(Bars()).plot()
ax = p._figure.axes[0]
paths = ax.collections[0].get_paths()
assert len(paths) == len(x)
for i, path in enumerate(paths):
verts = path.vertices
assert verts[0, 0] == pytest.approx(x[i] - .5)
assert verts[1, 0] == pytest.approx(x[i] + .5)
assert verts[0, 1] == 0
assert verts[3, 1] == y[i]
def test_positions_horizontal(self, x, y):
p = Plot(x=y, y=x).add(Bars(), orient="h").plot()
ax = p._figure.axes[0]
paths = ax.collections[0].get_paths()
assert len(paths) == len(x)
for i, path in enumerate(paths):
verts = path.vertices
assert verts[0, 1] == pytest.approx(x[i] - .5)
assert verts[3, 1] == pytest.approx(x[i] + .5)
assert verts[0, 0] == 0
assert verts[1, 0] == y[i]
def test_width(self, x, y):
p = Plot(x, y).add(Bars(width=.4)).plot()
ax = p._figure.axes[0]
paths = ax.collections[0].get_paths()
for i, path in enumerate(paths):
verts = path.vertices
assert verts[0, 0] == pytest.approx(x[i] - .2)
assert verts[1, 0] == pytest.approx(x[i] + .2)
def test_mapped_color_direct_alpha(self, x, y, color):
alpha = .5
p = Plot(x, y, color=color).add(Bars(alpha=alpha)).plot()
ax = p._figure.axes[0]
fcs = ax.collections[0].get_facecolors()
C0, C1, C2, *_ = p._theme["axes.prop_cycle"].by_key()["color"]
expected = to_rgba_array([C0, C1, C2, C0, C2], alpha)
assert_array_equal(fcs, expected)
def test_mapped_edgewidth(self, x, y):
p = Plot(x, y, edgewidth=y).add(Bars()).plot()
ax = p._figure.axes[0]
lws = ax.collections[0].get_linewidths()
assert_array_equal(np.argsort(lws), np.argsort(y))
def test_auto_edgewidth(self):
x0 = np.arange(10)
x1 = np.arange(1000)
p0 = Plot(x0, x0).add(Bars()).plot()
p1 = Plot(x1, x1).add(Bars()).plot()
lw0 = p0._figure.axes[0].collections[0].get_linewidths()
lw1 = p1._figure.axes[0].collections[0].get_linewidths()
assert (lw0 > lw1).all()
def test_unfilled(self, x, y):
p = Plot(x, y).add(Bars(fill=False, edgecolor="C4")).plot()
ax = p._figure.axes[0]
fcs = ax.collections[0].get_facecolors()
ecs = ax.collections[0].get_edgecolors()
colors = p._theme["axes.prop_cycle"].by_key()["color"]
assert_array_equal(fcs, to_rgba_array([colors[0]] * len(x), 0))
assert_array_equal(ecs, to_rgba_array([colors[4]] * len(x), 1))
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