今天，当我尝试使用 matplotlib add_subplot 函数将多个绘图组合成一个图形时，我几乎整天都在苦苦挣扎。
我可以单独绘制每个图，但是当我将它们结合起来时，我会遇到这个问题。这是复制此值错误的简化代码。
from matplotlib import pyplot as plt
import numpy as np
import os
def plot_in_subplots():
fig= plt.figure(figsize=(15, 10))
axis1=fig.add_subplot(311)
# Uncomment line below to replicate ValueError: Image size of 3719x61904113 pixels is too large. It must be less than 2^16 in each direction.
# axis2=fig.add_subplot(312)
plot_bar_plot_in_given_axis(axis1)
# plot_in_given_axis(axis2)
figFile = os.path.join('/Users/burcakotlu/Desktop/Test_subplot.png')
fig.savefig(figFile, dpi=100, bbox_inches="tight")
plt.cla()
plt.close(fig)
def plot_in_given_axis(ax):
xticklabels_list = ['a','b','c','d','e','f'] * 6
rows=['row1']
ax.set_xlim([0, 36])
ax.set_xticklabels([])
ax.tick_params(axis='x', which='minor', length=0, labelsize=35)
ax.set_xticks(np.arange(0, 36, 1))
ax.set_xticks(np.arange(0, 36, 1) + 0.5, minor=True)
ax.set_xticklabels(xticklabels_list, minor=True)
ax.xaxis.set_label_position('top')
ax.xaxis.set_ticks_position('top')
plt.tick_params(
axis='x', # changes apply to the x-axis
which='major', # both major and minor ticks are affected
bottom=False, # ticks along the bottom edge are off
top=False) # labels along the bottom edge are off
ax.set_ylim([0, len(rows)])
ax.set_yticklabels([])
ax.tick_params(axis='y', which='minor', length=0, labelsize=40)
ax.set_yticks(np.arange(0, len(rows), 1))
ax.set_yticks(np.arange(0, len(rows), 1) + 0.5, minor=True)
ax.set_yticklabels(rows, minor=True) # fontsize
plt.tick_params(
axis='y', # changes apply to the x-axis
which='major', # both major and minor ticks are affected
left=False) # labels along the bottom edge are off
ax.grid(which='major', color='black', zorder=3)
def plot_bar_plot_in_given_axis(ax):
x_axis_labels = ['a', 'b', 'c', 'd', 'e', 'f']
real_values1 = [266655.0, 0.0, 14072.0, 4137.0, 6752.5, 0.0]
real_values2 = [273342.5, 0.0, 12598.5, 4240.0, 7425.5, 0.0]
unreal_values1 = [326188.16, 0.0, 15828.42, 4666.825000000001, 8109.87, 0.0]
unreal_values2 = [344462.07, 0.0, 16368.664999999999, 5180.2, 8721.64, 0.0]
q_values = [2.5309603790195403e-28, 1.0, 1.8194829804783173e-33, 0.003603381046779825, 1.0, 1.0]
name1 = 'X'
name2 = 'Y'
color1 = 'r'
color2 = 'b'
width = 0.1
ind = np.arange(len(x_axis_labels))
legend=None
rects3=None
rects4=None
rects1 = ax.bar(ind, real_values1, width=width, edgecolor='black', color=color1)
rects2 = ax.bar(ind + width, real_values2, width=width, edgecolor='black', color=color2)
if ((unreal_values1 is not None) and unreal_values1):
rects3 = ax.bar(ind+ 2*width, unreal_values1, width=width, edgecolor='black', color=color1, hatch = 'X')
if ((unreal_values2 is not None) and unreal_values2):
rects4 = ax.bar(ind +3*width, unreal_values2, width=width, edgecolor='black', color=color2, hatch = 'X')
ax.tick_params(axis='x', labelsize=35)
ax.tick_params(axis='y', labelsize=35)
locs, labels = plt.yticks()
ax.set_ylim(0, locs[-1] + 5000)
ax.set_title('%s vs. %s' %(name1,name2), fontsize=20,fontweight='bold')
ax.set_xticklabels(x_axis_labels, fontsize=35)
plt.ylabel('Y axis label', fontsize=35, fontweight='normal')
ax.set_xticks(ind + (3 * width) / 2)
realStrand1Name = 'Real %s' % (name1)
realStrand2Name = 'Real %s' % (name2)
simulationsStrand1Name = 'Unreal %s' % (name1)
simulationsStrand2Name = 'Unreal %s' % (name2)
if ((rects1 is not None) and (rects2 is not None) and (rects3 is not None) and (rects4 is not None)):
if ((len(rects1) > 0) and (len(rects2) > 0) and (len(rects3) > 0) and (len(rects4) > 0)):
legend = ax.legend((rects1[0], rects2[0], rects3[0], rects4[0]),
(realStrand1Name, realStrand2Name, simulationsStrand1Name, simulationsStrand2Name),prop={'size': 25}, ncol=1, loc='best')
ax.set_facecolor('white')
ax.spines["bottom"].set_color('black')
ax.spines["left"].set_color('black')
ax.spines["top"].set_color('black')
ax.spines["right"].set_color('black')
if (legend is not None):
frame = legend.get_frame()
frame.set_facecolor('white')
frame.set_edgecolor('black')
if q_values is not None:
for q_value, rect1, rect2 in zip(q_values,rects1,rects2):
# Get X and Y placement of label from rect.
y_value = max(rect1.get_height(),rect2.get_height())
x_value = rect1.get_x() + rect1.get_width()
space = 3
va = 'bottom'
if y_value < 0:
space *= -1
va = 'top'
if ((q_value is not None) and (q_value)<=0.05):
plt.annotate(
'***', # Use `label` as label
(x_value, y_value), # Place label at end of the bar
xytext=(0, space), # Vertically shift label by `space`
textcoords="offset points", # Interpret `xytext` as offset in points
ha='center', # Horizontally center label
va=va,
fontsize=20) # Vertically align label differently for
plot_in_subplots()
请取消注释此行以复制ValueError: Image size of 3719x61904113 像素太大。每个方向必须小于 2^16。
axis2=fig.add_subplot(312)
这是我想使用add_subplot组合的图
