我想将数据绘制为英寸的物理单位（也就是说，数据以“点”为单位，可以转换为英寸）。 （我看过matplotlib转换教程。）在下面的代码中，我希望能够自动计算所需的figsize。为此，我对三个变量WIDTH_SHIFT，HEIGHT_SHIFT和PORTION_OF_PLOT_INSIDE_THE_MARGINS进行了硬编码。这些值适用于本示例，但是，随着数字变大，我需要增加SHIFT变量，并且可能还需要更改PORTION变量。如果可能，我想自动计算这些值，或者找到其他方法。如果我将WIDTH_SHIFT和HEIGHT_SHIFT设置为零，则ABCDEFG和F节点框将无法正确绘制。它们落在轴外。 ABCDEFG框已部分绘制。
import matplotlib.pyplot as plt
from matplotlib.patches import BoxStyle, FancyBboxPatch
# Set-up the node data
node_width_ABCDEFG = 116/72 # inches
node_height_ABCDEFG = 28/72 # inches
node_center_x_ABCDEFG = 0 + 58/72 # inches
node_center_y_ABCDEFG = 3 + 14/72 # inches
lower_left_corner_ABCDEFG = [
node_center_x_ABCDEFG - node_width_ABCDEFG/2,
node_center_y_ABCDEFG - node_height_ABCDEFG/2]
node_width_F = 28/72 # inches
node_height_F = 28/72 # inches
node_center_x_F = 3 + 14/72 # inches
node_center_y_F = 0 + 14/72 # inches
lower_left_corner_F = [node_center_x_F - node_width_F/2,
node_center_y_F - node_height_F/2]
node_width_E = 28/72 # inches
node_height_E = 28/72 # inches
node_center_x_E = 5 + 14/72 # inches
node_center_y_E = 4 + 14/72 # inches
lower_left_corner_E = [node_center_x_E - node_width_E/2,
node_center_y_E - node_height_E/2]
node_width_C = 28/72 # inches
node_height_C = 28/72 # inches
node_center_x_C = 2.8 + 14/72 # inches
node_center_y_C = 4.4 + 14/72 # inches
lower_left_corner_C = [node_center_x_C - node_width_C/2,
node_center_y_C - node_height_C/2]
# Compute size parameters needed to create the figure
# left edge of box ABCDEFG to right edge of box E
network_width_inches = (
(node_center_x_E + node_width_E/2) -
(node_center_x_ABCDEFG - node_width_ABCDEFG/2))
# top edge of box C to bottom edge of box F
network_height_inches = (
(node_center_y_C + node_height_C/2) -
(node_center_y_F - node_height_F/2))
print("network width inches: ", network_width_inches)
print("network height inches: ", network_height_inches)
WIDTH_SHIFT = .75 # width of left margin
HEIGHT_SHIFT = 0.5 # height of bottom margin
# when these are zero,
# the node boxes for ABCDEFG and F fall outside the axes
# WIDTH_SHIFT = 0
# HEIGHT_SHIFT = 0
PORTION_OF_PLOT_INSIDE_THE_MARGINS = .7
fig_width_inches =
network_width_inches/PORTION_OF_PLOT_INSIDE_THE_MARGINS
fig_height_inches =
network_height_inches/PORTION_OF_PLOT_INSIDE_THE_MARGINS
# These enlargements are not big enough
# fig_width_inches = network_width_inches + 2*WIDTH_SHIFT
# fig_height_inches = network_height_inches + 2*HEIGHT_SHIFT
print("fig width inches: ", fig_width_inches)
print("fig height inches: ", fig_height_inches)
# Create the figure
fig = plt.figure(figsize=(fig_width_inches, fig_height_inches), dpi=72)
ax = plt.gca()
# Plotting in inches
# Create the node boxes
node_patch_ABCDEFG = FancyBboxPatch(
[lower_left_corner_ABCDEFG[0] + WIDTH_SHIFT,
lower_left_corner_ABCDEFG[1] + HEIGHT_SHIFT],
node_width_ABCDEFG,
node_height_ABCDEFG,
edgecolor="blue",
facecolor="lightblue",
linewidth=1,
boxstyle=BoxStyle("round",
pad=0,
rounding_size=.1),
transform=fig.dpi_scale_trans
)
node_patch_C = FancyBboxPatch(
[lower_left_corner_C[0] + WIDTH_SHIFT,
lower_left_corner_C[1] + HEIGHT_SHIFT],
node_width_C,
node_height_C,
edgecolor="blue",
facecolor="lightblue",
linewidth=1,
boxstyle=BoxStyle("round",
pad=0,
rounding_size=.1),
transform=fig.dpi_scale_trans
)
node_patch_E = FancyBboxPatch(
[lower_left_corner_E[0] + WIDTH_SHIFT,
lower_left_corner_E[1] + HEIGHT_SHIFT],
node_width_E,
node_height_E,
edgecolor="blue",
facecolor="lightblue",
linewidth=1,
boxstyle=BoxStyle("round",
pad=0,
rounding_size=.1),
transform=fig.dpi_scale_trans
)
node_patch_F = FancyBboxPatch(
[lower_left_corner_F[0] + WIDTH_SHIFT,
lower_left_corner_F[1] + HEIGHT_SHIFT],
node_width_F,
node_height_F,
edgecolor="blue",
facecolor="lightblue",
linewidth=1,
boxstyle=BoxStyle("round",
pad=0,
rounding_size=.1),
transform=fig.dpi_scale_trans
)
ax.add_patch(node_patch_ABCDEFG)
ax.add_patch(node_patch_C)
ax.add_patch(node_patch_E)
ax.add_patch(node_patch_F)
# Add text labels for the nodes
plt.text(
node_center_x_ABCDEFG + WIDTH_SHIFT,
node_center_y_ABCDEFG + HEIGHT_SHIFT,
"ABCDEFG",
fontsize=12,
color="black",
fontname="Verdana",
fontstyle="normal",
horizontalalignment="center",
verticalalignment="center",
transform=fig.dpi_scale_trans
)
plt.text(
node_center_x_C + WIDTH_SHIFT,
node_center_y_C + HEIGHT_SHIFT,
"C",
fontsize=12,
color="black",
fontname="Verdana",
fontstyle="normal",
horizontalalignment="center",
verticalalignment="center",
transform=fig.dpi_scale_trans
)
plt.text(
node_center_x_E + WIDTH_SHIFT,
node_center_y_E + HEIGHT_SHIFT,
"E",
fontsize=12,
color="black",
fontname="Verdana",
fontstyle="normal",
horizontalalignment="center",
verticalalignment="center",
transform=fig.dpi_scale_trans
)
plt.text(
node_center_x_F + WIDTH_SHIFT,
node_center_y_F + HEIGHT_SHIFT,
"F",
fontsize=12,
color="black",
fontname="Verdana",
fontstyle="normal",
horizontalalignment="center",
verticalalignment="center",
transform=fig.dpi_scale_trans
)
plt.axis("equal")
#plt.axis("off")
plt.show()
fig.savefig("node_example.png", bbox_inches="tight")
after subplots_adjust(0,0,1,1) and SHIFTS to 0 and PORTION to 1
答案 0 :(得分：0)
感谢ImportingOfBeingErnest
解决方案是从图中删除边距，可以通过以下方式完成：
fig.subplots_adjust(0,0,1,1)
在这种情况下，无需设置任何值即可将节点图从边距移到轴中或使图大于图本身。
要在保存图形时起作用，
bbox_inches
参数不应在
中使用fig.savefig()
要使其与iPython控制台内联工作，请使用以下命令：
%config InlineBackend.print_figure_kwargs = {'bbox_inches':None}