将Matplotlib偏移符号从科学更改为普通 [英] Change matplotlib offset notation from scientific to plain
问题描述
我想将绘图中 y 轴偏移的格式设置为非科学记数法,但我找不到执行此操作的设置.其他问题及其解决方案描述了如何完全删除偏移量,或将 y-ticks 设置为科学/普通符号;我还没有找到设置偏移量的表示法本身的答案.
I want to set the formatting of the y-axis offset in my plot to non-scientific notation, but I can't find a setting to do this. Other questions and their solutions describe how to either remove the offset altogether, or set the y-ticks to scientific/plain notation; I haven't found an answer for setting the notation of the offset itself.
我已经尝试过使用这两个选项,但是我认为它们用于y刻度,而不是偏移量:
I've already tried using these two options, but I think they're meant for the y-ticks, not the offsets:
ax.ticklabel_format(axis='y', style='plain', useOffset=6378.1)
和
ax.get_yaxis().get_major_formatter().set_scientific(False)
所以,实际结果是+6.3781e3
,当我想要+6378.1
So, the actual result is +6.3781e3
, when I want +6378.1
有没有办法做到这一点?
Any way to do this?
添加示例代码和图:
#!/usr/bin/env python
from matplotlib import pyplot as plt
from matplotlib import ticker
plt.rcParams['font.family'] = 'monospace'
import random
Date = range(10)
R = [6373.1+10*random.random() for i in range(10)]
fig, ax = plt.subplots(figsize=(9,6))
ax.plot(Date,R,'-D',zorder=2,markersize=3)
ax.ticklabel_format(axis='y', style='plain', useOffset=6378.1)
ax.set_ylabel('Mean R (km)',fontsize='small',labelpad=1)
plt.show()
推荐答案
一种方法是禁用偏移文本本身,并在其中添加自定义 ax.text
,如下所示
A way to do this is to disable the offset text itself and add your custom ax.text
there as follows
from matplotlib import pyplot as plt
import random
plt.rcParams['font.family'] = 'monospace'
offset = 6378.1
Date = range(10)
R = [offset+10*random.random() for i in range(10)]
fig, ax = plt.subplots(figsize=(9,6))
ax.plot(Date,R,'-D',zorder=2,markersize=3)
ax.ticklabel_format(axis='y', style='plain', useOffset=offset)
ax.set_ylabel('Mean R (km)',fontsize='small',labelpad=1)
ax.yaxis.offsetText.set_visible(False)
ax.text(x = 0.0, y = 1.01, s = str(offset), transform=ax.transAxes)
plt.show()
这篇关于将Matplotlib偏移符号从科学更改为普通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!