267 lines
7.9 KiB
Python
267 lines
7.9 KiB
Python
import datetime
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from unittest.mock import Mock
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import numpy as np
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import pytest
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import matplotlib.pyplot as plt
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import matplotlib as mpl
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from matplotlib.path import Path
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from matplotlib.table import CustomCell, Table
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from matplotlib.testing.decorators import image_comparison, check_figures_equal
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from matplotlib.transforms import Bbox
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import matplotlib.units as munits
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def test_non_square():
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# Check that creating a non-square table works
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cellcolors = ['b', 'r']
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plt.table(cellColours=cellcolors)
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@image_comparison(['table_zorder.png'], remove_text=True)
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def test_zorder():
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data = [[66386, 174296],
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[58230, 381139]]
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colLabels = ('Freeze', 'Wind')
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rowLabels = ['%d year' % x for x in (100, 50)]
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cellText = []
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yoff = np.zeros(len(colLabels))
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for row in reversed(data):
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yoff += row
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cellText.append(['%1.1f' % (x/1000.0) for x in yoff])
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t = np.linspace(0, 2*np.pi, 100)
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plt.plot(t, np.cos(t), lw=4, zorder=2)
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plt.table(cellText=cellText,
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rowLabels=rowLabels,
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colLabels=colLabels,
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loc='center',
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zorder=-2,
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)
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plt.table(cellText=cellText,
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rowLabels=rowLabels,
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colLabels=colLabels,
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loc='upper center',
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zorder=4,
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)
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plt.yticks([])
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@image_comparison(['table_labels.png'])
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def test_label_colours():
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dim = 3
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c = np.linspace(0, 1, dim)
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colours = plt.cm.RdYlGn(c)
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cellText = [['1'] * dim] * dim
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fig = plt.figure()
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ax1 = fig.add_subplot(4, 1, 1)
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ax1.axis('off')
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ax1.table(cellText=cellText,
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rowColours=colours,
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loc='best')
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ax2 = fig.add_subplot(4, 1, 2)
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ax2.axis('off')
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ax2.table(cellText=cellText,
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rowColours=colours,
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rowLabels=['Header'] * dim,
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loc='best')
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ax3 = fig.add_subplot(4, 1, 3)
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ax3.axis('off')
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ax3.table(cellText=cellText,
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colColours=colours,
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loc='best')
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ax4 = fig.add_subplot(4, 1, 4)
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ax4.axis('off')
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ax4.table(cellText=cellText,
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colColours=colours,
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colLabels=['Header'] * dim,
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loc='best')
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@image_comparison(['table_cell_manipulation.png'], remove_text=True)
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def test_diff_cell_table():
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cells = ('horizontal', 'vertical', 'open', 'closed', 'T', 'R', 'B', 'L')
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cellText = [['1'] * len(cells)] * 2
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colWidths = [0.1] * len(cells)
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_, axs = plt.subplots(nrows=len(cells), figsize=(4, len(cells)+1))
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for ax, cell in zip(axs, cells):
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ax.table(
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colWidths=colWidths,
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cellText=cellText,
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loc='center',
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edges=cell,
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)
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ax.axis('off')
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plt.tight_layout()
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def test_customcell():
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types = ('horizontal', 'vertical', 'open', 'closed', 'T', 'R', 'B', 'L')
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codes = (
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(Path.MOVETO, Path.LINETO, Path.MOVETO, Path.LINETO, Path.MOVETO),
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(Path.MOVETO, Path.MOVETO, Path.LINETO, Path.MOVETO, Path.LINETO),
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(Path.MOVETO, Path.MOVETO, Path.MOVETO, Path.MOVETO, Path.MOVETO),
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(Path.MOVETO, Path.LINETO, Path.LINETO, Path.LINETO, Path.CLOSEPOLY),
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(Path.MOVETO, Path.MOVETO, Path.MOVETO, Path.LINETO, Path.MOVETO),
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(Path.MOVETO, Path.MOVETO, Path.LINETO, Path.MOVETO, Path.MOVETO),
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(Path.MOVETO, Path.LINETO, Path.MOVETO, Path.MOVETO, Path.MOVETO),
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(Path.MOVETO, Path.MOVETO, Path.MOVETO, Path.MOVETO, Path.LINETO),
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)
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for t, c in zip(types, codes):
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cell = CustomCell((0, 0), visible_edges=t, width=1, height=1)
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code = tuple(s for _, s in cell.get_path().iter_segments())
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assert c == code
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@image_comparison(['table_auto_column.png'])
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def test_auto_column():
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fig = plt.figure()
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# iterable list input
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ax1 = fig.add_subplot(4, 1, 1)
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ax1.axis('off')
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tb1 = ax1.table(
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cellText=[['Fit Text', 2],
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['very long long text, Longer text than default', 1]],
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rowLabels=["A", "B"],
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colLabels=["Col1", "Col2"],
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loc="center")
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tb1.auto_set_font_size(False)
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tb1.set_fontsize(12)
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tb1.auto_set_column_width([-1, 0, 1])
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# iterable tuple input
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ax2 = fig.add_subplot(4, 1, 2)
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ax2.axis('off')
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tb2 = ax2.table(
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cellText=[['Fit Text', 2],
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['very long long text, Longer text than default', 1]],
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rowLabels=["A", "B"],
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colLabels=["Col1", "Col2"],
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loc="center")
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tb2.auto_set_font_size(False)
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tb2.set_fontsize(12)
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tb2.auto_set_column_width((-1, 0, 1))
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# 3 single inputs
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ax3 = fig.add_subplot(4, 1, 3)
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ax3.axis('off')
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tb3 = ax3.table(
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cellText=[['Fit Text', 2],
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['very long long text, Longer text than default', 1]],
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rowLabels=["A", "B"],
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colLabels=["Col1", "Col2"],
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loc="center")
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tb3.auto_set_font_size(False)
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tb3.set_fontsize(12)
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tb3.auto_set_column_width(-1)
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tb3.auto_set_column_width(0)
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tb3.auto_set_column_width(1)
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# 4 non integer iterable input
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ax4 = fig.add_subplot(4, 1, 4)
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ax4.axis('off')
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tb4 = ax4.table(
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cellText=[['Fit Text', 2],
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['very long long text, Longer text than default', 1]],
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rowLabels=["A", "B"],
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colLabels=["Col1", "Col2"],
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loc="center")
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tb4.auto_set_font_size(False)
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tb4.set_fontsize(12)
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with pytest.warns(mpl.MatplotlibDeprecationWarning,
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match="'col' must be an int or sequence of ints"):
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tb4.auto_set_column_width("-101") # type: ignore [arg-type]
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with pytest.warns(mpl.MatplotlibDeprecationWarning,
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match="'col' must be an int or sequence of ints"):
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tb4.auto_set_column_width(["-101"]) # type: ignore [list-item]
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def test_table_cells():
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fig, ax = plt.subplots()
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table = Table(ax)
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cell = table.add_cell(1, 2, 1, 1)
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assert isinstance(cell, CustomCell)
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assert cell is table[1, 2]
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cell2 = CustomCell((0, 0), 1, 2, visible_edges=None)
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table[2, 1] = cell2
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assert table[2, 1] is cell2
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# make sure getitem support has not broken
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# properties and setp
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table.properties()
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plt.setp(table)
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@check_figures_equal(extensions=["png"])
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def test_table_bbox(fig_test, fig_ref):
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data = [[2, 3],
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[4, 5]]
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col_labels = ('Foo', 'Bar')
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row_labels = ('Ada', 'Bob')
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cell_text = [[f"{x}" for x in row] for row in data]
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ax_list = fig_test.subplots()
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ax_list.table(cellText=cell_text,
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rowLabels=row_labels,
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colLabels=col_labels,
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loc='center',
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bbox=[0.1, 0.2, 0.8, 0.6]
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)
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ax_bbox = fig_ref.subplots()
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ax_bbox.table(cellText=cell_text,
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rowLabels=row_labels,
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colLabels=col_labels,
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loc='center',
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bbox=Bbox.from_extents(0.1, 0.2, 0.9, 0.8)
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)
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@check_figures_equal(extensions=['png'])
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def test_table_unit(fig_test, fig_ref):
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# test that table doesn't participate in unit machinery, instead uses repr/str
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class FakeUnit:
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def __init__(self, thing):
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pass
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def __repr__(self):
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return "Hello"
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fake_convertor = munits.ConversionInterface()
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# v, u, a = value, unit, axis
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fake_convertor.convert = Mock(side_effect=lambda v, u, a: 0)
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# not used, here for completeness
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fake_convertor.default_units = Mock(side_effect=lambda v, a: None)
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fake_convertor.axisinfo = Mock(side_effect=lambda u, a: munits.AxisInfo())
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munits.registry[FakeUnit] = fake_convertor
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data = [[FakeUnit("yellow"), FakeUnit(42)],
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[FakeUnit(datetime.datetime(1968, 8, 1)), FakeUnit(True)]]
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fig_test.subplots().table(data)
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fig_ref.subplots().table([["Hello", "Hello"], ["Hello", "Hello"]])
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fig_test.canvas.draw()
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fake_convertor.convert.assert_not_called()
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munits.registry.pop(FakeUnit)
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assert not munits.registry.get_converter(FakeUnit)
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