ai-content-maker/.venv/Lib/site-packages/matplotlib/tests/test_table.py

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2024-05-03 04:18:51 +03:00
import numpy as np
import pytest
import matplotlib.pyplot as plt
import matplotlib as mpl
from matplotlib.path import Path
from matplotlib.table import CustomCell, Table
from matplotlib.testing.decorators import image_comparison, check_figures_equal
from matplotlib.transforms import Bbox
def test_non_square():
# Check that creating a non-square table works
cellcolors = ['b', 'r']
plt.table(cellColours=cellcolors)
@image_comparison(['table_zorder.png'], remove_text=True)
def test_zorder():
data = [[66386, 174296],
[58230, 381139]]
colLabels = ('Freeze', 'Wind')
rowLabels = ['%d year' % x for x in (100, 50)]
cellText = []
yoff = np.zeros(len(colLabels))
for row in reversed(data):
yoff += row
cellText.append(['%1.1f' % (x/1000.0) for x in yoff])
t = np.linspace(0, 2*np.pi, 100)
plt.plot(t, np.cos(t), lw=4, zorder=2)
plt.table(cellText=cellText,
rowLabels=rowLabels,
colLabels=colLabels,
loc='center',
zorder=-2,
)
plt.table(cellText=cellText,
rowLabels=rowLabels,
colLabels=colLabels,
loc='upper center',
zorder=4,
)
plt.yticks([])
@image_comparison(['table_labels.png'])
def test_label_colours():
dim = 3
c = np.linspace(0, 1, dim)
colours = plt.cm.RdYlGn(c)
cellText = [['1'] * dim] * dim
fig = plt.figure()
ax1 = fig.add_subplot(4, 1, 1)
ax1.axis('off')
ax1.table(cellText=cellText,
rowColours=colours,
loc='best')
ax2 = fig.add_subplot(4, 1, 2)
ax2.axis('off')
ax2.table(cellText=cellText,
rowColours=colours,
rowLabels=['Header'] * dim,
loc='best')
ax3 = fig.add_subplot(4, 1, 3)
ax3.axis('off')
ax3.table(cellText=cellText,
colColours=colours,
loc='best')
ax4 = fig.add_subplot(4, 1, 4)
ax4.axis('off')
ax4.table(cellText=cellText,
colColours=colours,
colLabels=['Header'] * dim,
loc='best')
@image_comparison(['table_cell_manipulation.png'], remove_text=True)
def test_diff_cell_table():
cells = ('horizontal', 'vertical', 'open', 'closed', 'T', 'R', 'B', 'L')
cellText = [['1'] * len(cells)] * 2
colWidths = [0.1] * len(cells)
_, axs = plt.subplots(nrows=len(cells), figsize=(4, len(cells)+1))
for ax, cell in zip(axs, cells):
ax.table(
colWidths=colWidths,
cellText=cellText,
loc='center',
edges=cell,
)
ax.axis('off')
plt.tight_layout()
def test_customcell():
types = ('horizontal', 'vertical', 'open', 'closed', 'T', 'R', 'B', 'L')
codes = (
(Path.MOVETO, Path.LINETO, Path.MOVETO, Path.LINETO, Path.MOVETO),
(Path.MOVETO, Path.MOVETO, Path.LINETO, Path.MOVETO, Path.LINETO),
(Path.MOVETO, Path.MOVETO, Path.MOVETO, Path.MOVETO, Path.MOVETO),
(Path.MOVETO, Path.LINETO, Path.LINETO, Path.LINETO, Path.CLOSEPOLY),
(Path.MOVETO, Path.MOVETO, Path.MOVETO, Path.LINETO, Path.MOVETO),
(Path.MOVETO, Path.MOVETO, Path.LINETO, Path.MOVETO, Path.MOVETO),
(Path.MOVETO, Path.LINETO, Path.MOVETO, Path.MOVETO, Path.MOVETO),
(Path.MOVETO, Path.MOVETO, Path.MOVETO, Path.MOVETO, Path.LINETO),
)
for t, c in zip(types, codes):
cell = CustomCell((0, 0), visible_edges=t, width=1, height=1)
code = tuple(s for _, s in cell.get_path().iter_segments())
assert c == code
@image_comparison(['table_auto_column.png'])
def test_auto_column():
fig = plt.figure()
# iterable list input
ax1 = fig.add_subplot(4, 1, 1)
ax1.axis('off')
tb1 = ax1.table(
cellText=[['Fit Text', 2],
['very long long text, Longer text than default', 1]],
rowLabels=["A", "B"],
colLabels=["Col1", "Col2"],
loc="center")
tb1.auto_set_font_size(False)
tb1.set_fontsize(12)
tb1.auto_set_column_width([-1, 0, 1])
# iterable tuple input
ax2 = fig.add_subplot(4, 1, 2)
ax2.axis('off')
tb2 = ax2.table(
cellText=[['Fit Text', 2],
['very long long text, Longer text than default', 1]],
rowLabels=["A", "B"],
colLabels=["Col1", "Col2"],
loc="center")
tb2.auto_set_font_size(False)
tb2.set_fontsize(12)
tb2.auto_set_column_width((-1, 0, 1))
# 3 single inputs
ax3 = fig.add_subplot(4, 1, 3)
ax3.axis('off')
tb3 = ax3.table(
cellText=[['Fit Text', 2],
['very long long text, Longer text than default', 1]],
rowLabels=["A", "B"],
colLabels=["Col1", "Col2"],
loc="center")
tb3.auto_set_font_size(False)
tb3.set_fontsize(12)
tb3.auto_set_column_width(-1)
tb3.auto_set_column_width(0)
tb3.auto_set_column_width(1)
# 4 non integer iterable input
ax4 = fig.add_subplot(4, 1, 4)
ax4.axis('off')
tb4 = ax4.table(
cellText=[['Fit Text', 2],
['very long long text, Longer text than default', 1]],
rowLabels=["A", "B"],
colLabels=["Col1", "Col2"],
loc="center")
tb4.auto_set_font_size(False)
tb4.set_fontsize(12)
with pytest.warns(mpl.MatplotlibDeprecationWarning,
match="'col' must be an int or sequence of ints"):
tb4.auto_set_column_width("-101") # type: ignore [arg-type]
with pytest.warns(mpl.MatplotlibDeprecationWarning,
match="'col' must be an int or sequence of ints"):
tb4.auto_set_column_width(["-101"]) # type: ignore [list-item]
def test_table_cells():
fig, ax = plt.subplots()
table = Table(ax)
cell = table.add_cell(1, 2, 1, 1)
assert isinstance(cell, CustomCell)
assert cell is table[1, 2]
cell2 = CustomCell((0, 0), 1, 2, visible_edges=None)
table[2, 1] = cell2
assert table[2, 1] is cell2
# make sure getitem support has not broken
# properties and setp
table.properties()
plt.setp(table)
@check_figures_equal(extensions=["png"])
def test_table_bbox(fig_test, fig_ref):
data = [[2, 3],
[4, 5]]
col_labels = ('Foo', 'Bar')
row_labels = ('Ada', 'Bob')
cell_text = [[f"{x}" for x in row] for row in data]
ax_list = fig_test.subplots()
ax_list.table(cellText=cell_text,
rowLabels=row_labels,
colLabels=col_labels,
loc='center',
bbox=[0.1, 0.2, 0.8, 0.6]
)
ax_bbox = fig_ref.subplots()
ax_bbox.table(cellText=cell_text,
rowLabels=row_labels,
colLabels=col_labels,
loc='center',
bbox=Bbox.from_extents(0.1, 0.2, 0.9, 0.8)
)