在python中创建圆形条形图 [英] Create a circular barplot in python

问题描述

我会对在项目中使用圆形条形图可视化感兴趣，并且不知道如何在Python中生成它.请在下面查看我对圆形barplot"的含义的示例.数据将以熊猫系列的形式出现-下面的虚拟示例模糊地反映了该图:

I would be interested in using a circular barplot visualisation for my project, and have no idea whatsoever how to produce it in Python. Please see an example of what I mean for "circular barplot" below. Data would come in form of a pandas series - dummy example below to vaguely reflect the plot:

A 33
B 62
C 56
D 70

有什么主意吗?

推荐答案

那只是极坐标投影中的水平条形图. Matplotlib的默认设置会使它看起来有所不同.

That is just an horizontal bar plot in polar projection. Matplotlib defaults will make it look a bit different.

ax = plt.subplot(projection='polar')
ax.barh(0, math.radians(150))
ax.barh(1, math.radians(300))
ax.barh(2, math.radians(270))
ax.barh(3, math.radians(320))

但是可以调整:

• 使用set_theta_zero_location()使小节从北方开始.
• 使用set_theta_direction()使条形顺时针旋转.
• 使用set_rlabel_position()移动径向标签.
• 使用set_thetagrids()和set_rgrids()设置刻度和标签.

• Use set_theta_zero_location() to make the bars start at North.
• Use set_theta_direction() to make the bars go clockwise.
• Use set_rlabel_position() to move the radial labels.
• Use set_thetagrids() and set_rgrids() to set the ticks and labels.

结果非常相似:

ax.set_theta_zero_location('N')
ax.set_theta_direction(-1)
ax.set_rlabel_position(0)
ax.set_thetagrids([0, 96, 192, 288], labels=[0, 20, 40, 60])
ax.set_rgrids([0, 1, 2, 3], labels=['a', 'b', 'c', 'd'])

必须有一种方法可以将径向标签移动到条形的左侧，但我找不到它.

There must be a way to move the radial labels to the left of the bars but I could not find it.

PS :一种更简洁甚至更快的方法:

PS A more concise and maybe faster way:

ax.barh([0, 1, 2, 3], np.radians([150, 300, 270, 320]),
        color=plt.rcParams['axes.prop_cycle'].by_key()['color'])

这篇关于在python中创建圆形条形图的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！