我正在使用 matplotlib 将矩阵的列绘制为单独的矩形matplotlib.patches.Rectangle。不知何故，所有“内部”线都比“外部”线宽？有人知道这是怎么回事吗？这与这个Github 问题有关吗？
以下是一份 MRE：
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
import matplotlib.patches as patches
# set seed
np.random.seed(42)
# define number of cols and rows
num_rows = 5
num_cols = 5
# define gap size between matrix columns
column_gap = 0.3
# define linewidth
linewidth = 5
# Determine the width and height of each square cell
cell_size = 1 # Set the side length for each square cell
# Initialize the matrix
matrix = np.random.rand(num_rows, num_cols)
# Create the plot
fig, ax = plt.subplots(figsize=(8,6))
# Create a seaborn color palette (RdYlBu) and reverse it
palette = sns.color_palette("RdYlBu", as_cmap=True).reversed()
# Plot each cell individually with column gaps
for i in range(num_rows):
for j in range(num_cols):
# Compute the color for the cell
color = palette(matrix[i, j])
if column_gap > 0:
edgecolor = 'black'
else:
edgecolor = None
# Add a rectangle patch with gaps only in the x-direction
rect = patches.Rectangle(
(j * (cell_size + column_gap), i * cell_size), # x position with gap applied to columns only
cell_size, # width of each cell
cell_size, # height of each cell
facecolor=color,
edgecolor=edgecolor,
linewidth=linewidth
)
ax.add_patch(rect)
if column_gap > 0:
# Remove the default grid lines and ticks
ax.spines[:].set_visible(False)
# Set axis limits to fit all cells
ax.set_xlim(0, num_cols * (cell_size + column_gap) - column_gap)
ax.set_ylim(0, num_rows * cell_size)
# Disable x and y ticks
ax.set_xticks([])
ax.set_yticks([])
fig.show()
生成结果：
