在matplotlib图上设置自定义刻度线间距

Question

I want to set the space between ticks to a custom distance and not automatically generated. I want to achieve what this graph does on the y-axis. https://pasteboard.co/H0XUbpq.jpg

I found ways on how to set custom ticks but then the spacing is still the same on the axis and then most of the ticks are still close to each other. So I want the tick intervals to be different than the space between the ticks on the y-axis like the graph I linked to above.

Answer 1

I think the image you post is log plot in y axis . Each tick value in y axis is the lower tick value multiplied by 2. In normal plot, their distance is not the same, but in log plot, their distance is the same.

Since you do not have the data, I will show a toy example demonstrating how to use log plot in y axis:

import matplotlib.pyplot as plt
import matplotlib
import numpy as np

x = np.linspace(20, 51, 7)

y1 = np.exp(x**0.2)
y2 = np.exp(x**0.4)
y3 = np.exp(x**0.6)
y4 = np.exp(x**0.8)

fig, ax = plt.subplots(ncols=1, nrows=1)

ax.plot(x, y1, x, y2, x, y3, x, y4)
ax.set_yscale('log')
ax.minorticks_off()
ax.set_xticks(range(18, 54, 5))
ax.grid(linestyle='--')

ax.grid(linestyle='--')

plt.show()

The produced plot is shown below,

Answer 2

You can use seperate FuncFormatters for the axis:

from matplotlib.ticker import FuncFormatter
from matplotlib.pyplot import show
import matplotlib.pyplot as plt
import numpy as np

a=np.random.random((100,100))

# create scaled formatters / for Y with Atom prefix
formatterY = FuncFormatter(lambda y, pos: '{0:g}'.format(y))
formatterX = FuncFormatter(lambda x, pos: '{0:g}'.format(x))

# apply formatters 
fig, ax = plt.subplots()
ax.yaxis.set_major_formatter(formatterY)
ax.xaxis.set_major_formatter(formatterX)

plt.imshow(a) 

# create labels
plt.xlabel('x label')
plt.ylabel('y label')
plt.xticks(list(range(0, 100,5))) 

plt.yticks(list(range(100, 0,-20)))

plt.show()

to style them idependently. See pylab_examples - might give you a starting point.