matplotlib 3D 绘图的刻度标签位置 [英] tick label positions for matplotlib 3D plot

问题描述

我正在研究如何设置/更正 3D matplotlib 图的刻度标签位置.刻度线标签与刻度线不对齐.当需要多个刻度标签时，这个问题似乎尤其突出.

I am trying to work out how to set/correct the position of tick labels for a 3D matplotlib plot. Tick labels do not align with the ticks. The issue seems to be especially prominent when many tick labels are required.

我修改了一个示例(http://matplotlib.org/examples/mplot3d/polys3d_demo.html )来说明我的问题.

I have modified an example (http://matplotlib.org/examples/mplot3d/polys3d_demo.html) from the matplotlib documentation to illustrate my question.

from mpl_toolkits.mplot3d import Axes3D
from matplotlib.collections import PolyCollection
from matplotlib.colors import colorConverter
import matplotlib.pyplot as plt
import numpy as np

fig = plt.figure(figsize=(10,10))
ax = fig.gca(projection='3d')

cc = lambda arg: colorConverter.to_rgba(arg, alpha=0.6)

xs = np.arange(0, 10, 0.4)
verts = []
zs = np.arange(50)
for z in zs:
    ys = np.ones(len(xs))*z
    ys[0], ys[-1] = 0, 0
    verts.append(list(zip(xs, ys)))

poly = PolyCollection(verts,facecolor='c')
poly.set_alpha(0.7)
ax.add_collection3d(poly, zs=zs, zdir='y')

ax.set_xlabel('X')
ax.set_xlim3d(0, 10)
ax.set_ylabel('Y')
ax.set_ylim3d(-1, len(zs))
ax.set_yticks(np.arange(len(zs)))
labels = {}
for l_c in zs:
    labels[l_c] = 'This Looks Bad'
ax.set_yticklabels(labels,rotation=-15)
ax.set_zlabel('Z')
ax.set_zlim3d(0, ys.max())

plt.show()

所以问题是:如何让刻度标签与刻度位置对齐?

So the question is: how can I get the tick labels to align with the tick positions?

推荐答案

通过使用这些对齐方式，我可以获得更好的展示位置:

By using these alignments, I get much better placements:

ax.set_yticklabels(labels,rotation=-15,
                   verticalalignment='baseline',
                   horizontalalignment='left')

我用较少的刻度标记修改了示例，以便您可以看到位置:

I've modified the example with less tick markers so you can see the placement:

这篇关于matplotlib 3D 绘图的刻度标签位置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！