如何减少 matplotlib 中分组条形图之间的 space?
How to decrease the space between grouped bar-subplots in matplotlib?
import matplotlib
import matplotlib.pyplot as plt
import numpy as np
a_means, a_CI = (70, 60), (2.7, 1.9)
b_means, b_CI = (85, 83), (2.6, 1.2)
c_means, c_CI = (66, 64), (3.5, 1.8)
ind = np.arange(2)
width = 0.35
fig, ax = plt.subplots(figsize=(10, 4), facecolor='w', edgecolor='k')
rects1 = ax.bar(ind - 2*width/4, a_means, width/4, yerr=a_CI, label='a')
rects2 = ax.bar(ind - width/4, b_means, width/4, yerr=b_CI, label='b')
rects3 = ax.bar(ind, c_means, width/4, yerr=c_CI, label='c')
ax.set_xticks(ind)
ax.set_ylim([50, 100])
ax.legend(loc='upper center', bbox_to_anchor=(0.5, -0.1),
fancybox=True, shadow=True, ncol=3)
plt.show()
这是我得到的:
old
这就是我想要得到的:
new
有什么办法可以实现吗?提前致谢!
您可以将 ind = np.arange(2)
更改为:
ind = np.arange(2) / 2.5
玩转数字,如果刻度标签不能满足您的需要,您最终可以更改它们。
使条形更宽(你可以很容易地做到这一点,因为你已经有了一个 width
变量)并且图形尺寸更窄:
width = 1
fig, ax = plt.subplots(figsize=(6, 4), facecolor='w', edgecolor='k')
import matplotlib
import matplotlib.pyplot as plt
import numpy as np
a_means, a_CI = (70, 60), (2.7, 1.9)
b_means, b_CI = (85, 83), (2.6, 1.2)
c_means, c_CI = (66, 64), (3.5, 1.8)
ind = np.arange(2)
width = 0.35
fig, ax = plt.subplots(figsize=(10, 4), facecolor='w', edgecolor='k')
rects1 = ax.bar(ind - 2*width/4, a_means, width/4, yerr=a_CI, label='a')
rects2 = ax.bar(ind - width/4, b_means, width/4, yerr=b_CI, label='b')
rects3 = ax.bar(ind, c_means, width/4, yerr=c_CI, label='c')
ax.set_xticks(ind)
ax.set_ylim([50, 100])
ax.legend(loc='upper center', bbox_to_anchor=(0.5, -0.1),
fancybox=True, shadow=True, ncol=3)
plt.show()
这是我得到的: old
这就是我想要得到的: new
有什么办法可以实现吗?提前致谢!
您可以将 ind = np.arange(2)
更改为:
ind = np.arange(2) / 2.5
玩转数字,如果刻度标签不能满足您的需要,您最终可以更改它们。
使条形更宽(你可以很容易地做到这一点,因为你已经有了一个 width
变量)并且图形尺寸更窄:
width = 1
fig, ax = plt.subplots(figsize=(6, 4), facecolor='w', edgecolor='k')