关于python 3.x：Matplotlib：极坐标图刻度线标签位置


Matplotlib: Polar plot axis tick label location

您将如何沿每个轴移动标签以便它们都可读？例如，如何将\\'$ 156，$ 158，$ 160 \\'移出轴中心？

这篇文章显示了如果只有一个轴，如何移动这些标签，但是在我的情况下，如果有多个轴，该怎么办？在matplotlib

的极坐标图中移动径向刻度标签

Current

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import numpy as np
import pylab as pl
import matplotlib.pyplot as py

class Radar(object):

def __init__(self, fig, titles, labels, rect=None):
    if rect is None:
        rect = [0.05, 0.05, 0.95, 0.95]

    self.n = len(titles)
    self.angles = [a if a <=360. else a - 360. for a in np.arange(90, 90+360, 360.0/self.n)]
    self.axes = [fig.add_axes(rect, projection="polar", label="axes%d" % i)
                     for i in range(self.n)]

    self.ax = self.axes[0]
    self.ax.set_thetagrids(self.angles, labels=titles, fontsize=12, weight="bold", color="black")

    for ax in self.axes[1:]:
        ax.patch.set_visible(False)
        ax.grid("off")
        ax.xaxis.set_visible(False)
        self.ax.yaxis.grid(False)

    for ax, angle, label in zip(self.axes, self.angles, labels):
        ax.set_rgrids(range(1, 7), labels=label, angle=angle, fontsize=12)
        ax.spines["polar"].set_visible(False)
        ax.set_ylim(0, 6)  
        ax.xaxis.grid(True,color='black',linestyle='-')

def plot(self, values, *args, **kw):
    angle = np.deg2rad(np.r_[self.angles, self.angles[0]])
    values = np.r_[values, values[0]]
    self.ax.plot(angle, values, *args, **kw)

fig = pl.figure(figsize=(20, 20))

titles = [
"Canada","Australia","New Zealand","Japan","China","USA","Mexico","Finland","Doha"
]

labels = [
list("abcde"), list("12345"), list("uvwxy"),
["","","$156","$158","$160"],
list("jklmn"), list("asdfg"), list("qwert"), ["","4.3","4.4","4.5","4.6"], list("abcde")
]

radar = Radar(fig, titles, labels)
radar.plot([1, 3, 2, 5, 4, 5, 3, 3, 2], "--", lw=1, color="b", alpha=.5, label="USA 2014")
radar.plot([2.3, 2, 3, 3, 2, 3, 2, 4, 2],"-", lw=1, color="r", alpha=.5, label="2014")
radar.plot([3, 4, 3, 4, 2, 2, 1, 3, 2],"-", lw=1, color="g", alpha=.5, label="2013")
radar.plot([4.5, 5, 4, 5, 3, 3, 4, 4, 2],"-", lw=1, color="y", alpha=.5, label="2012")

radar.ax.legend(loc='upper center', bbox_to_anchor=(0.5, -0.10),
      fancybox=True, shadow=True, ncol=4)

fig = py.gcf()
fig.set_size_inches(6, 10, forward=True)
fig.savefig('test2png.png', dpi=100, bbox_inches="tight", pad_inches=1)

一种选择是向标签位置添加一个恒定的偏移量。您可以通过为每个轴获取当前位置(ax.get_rlabel_position())，然后向其添加常量(ax.set_rlabel_position())

来执行此操作

例如，要将7度添加到所有标签，请将其添加到ax.xaxis.grid行

之后

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pos=ax.get_rlabel_position()
ax.set_rlabel_position(pos+7)

但是，我认为这不是一个特别好看的解决方案。它适合您的$ 160等标签，但其他外观不太好。

enter

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