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

232 lines
6.8 KiB
Python

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)
)