目录
1、x、y轴可定义多种形式比例标注
一般的，x轴的取值都是以固定的值（例如1）增长的，但是在 log 运算后，x轴的取值就会以一个量级增长。例如，以10的指数增长。
2、例子展示：
import matplotlib.pyplot as plt
import numpy as np
dt = 0.01
x = np.arange(-50.0, 50.0, dt)
y = np.arange(0, 100.0, dt)
plt.subplot(311)
plt.plot(x, y)
plt.xscale('symlog')
plt.ylabel('symlogx')
plt.grid(True)
plt.gca().xaxis.grid(True, which='minor')
plt.subplot(312)
plt.plot(y, x)
plt.yscale('symlog')
plt.ylabel('symlogy')
plt.subplot(313)
plt.plot(x, np.sin(x / 3.0))
plt.xscale('symlog')
plt.yscale('symlog', linthreshy=0.015)
plt.grid(True)
plt.ylabel('symlog both')
plt.tight_layout()
plt.show()
3、 matplotlib.scale.SymmetricalLogScale 变换底数等参数basex, basey : float
对数的底数，默认为10 linthreshx, linthreshy : float
定义范围 (-x, x), within which the plot is linear. 避免了使绘图趋于零附近的无穷大。默认为 2 subsx, subsy : sequence of int
每个主要刻度之间的子刻度线的放置位置。
For example,
in a log10 scale: [2, 3, 4, 5, 6, 7, 8, 9] will place 8 logarithmically spaced minor ticks between each major tick. linscalex, linscaley : float, optional
允许线性范围（-linthresh，linthresh）相对于对数范围进行拉伸。Its value is the number of decades to use for each half of the linear range.
For example
, when linscale == 1.0 (the default), the space used for the positive and negative halves of the linear range will be equal to one decade in the logarithmic range.
Notes
-
By default, Matplotlib supports the above mentioned scales. Additionally, custom scales may be registered using matplotlib.scale.register_scale.
-
xscale函数的返回值为(locs, labels)元组。其中locs为X轴刻度位置列表，labels为X轴刻度标签列表
plt.xscale('log')、plt.yscale('symlog')的参数还有：{"linear", "log", "symlog", "logit", ...}'log',A standard logarithmic scale. Care is taken to only plot positive values.注意 仅绘制正值'symlog',The symmetrical logarithmic scale is logarithmic in both the positive and negative directions from the origin.对称对数刻度在 从原点开始的正向和负向都是对数的。
Original: https://blog.csdn.net/weixin_45288557/article/details/117220583
Author: 佐佑思维
Title: plt.xscale、plt.yscale将 x轴 和 y轴 的比例设置为对数比例
原创文章受到原创版权保护。转载请注明出处：https://www.johngo689.com/766858/
转载文章受原作者版权保护。转载请注明原作者出处！