CODEWITHSUNDEEP
pythonmatplotlib
Schach21
Schach21

Reputation: 450

matplotlib display axis as binary setting yticks

Here they describe how to display the axis numbers in binary using StrMethodFormatter.

The code described there is:

import matplotlib.pyplot as plt
import numpy as np
from matplotlib.ticker import StrMethodFormatter
    
fig, ax = plt.subplots()
    
ax.yaxis.set_major_formatter(StrMethodFormatter("{x:07b}"))
ax.yaxis.set_ticks(np.arange(0, 110, 10))
    
x = np.arange(1, 10, 0.1)
plt.plot(x, x**2)
plt.show()

So, he is setting the y_ticks. Is there a way to display the axis in binary without setting the y ticks?

When I remove ax.yaxis.set_ticks(np.arange(0,110,10)), then it throws the error: ValueError: Unkown format code 'b' for object of type 'float'

For my own plot all the points are integers, yet I get the same error. Does anyone know how to display the axis in binary without having to set y ticks?

Upvotes: 0

Views: 478

Answers (1)

JohanC
JohanC

Reputation: 80319

Even when forcing integers via ax.yaxis.set_major_locator(MaxNLocator(integer=True)), matplotlib still passes floats to the formatter function.

A workaround is to set a function that explicitly transforms the values to integer:

import matplotlib.pyplot as plt
import numpy as np

fig, ax = plt.subplots()

ax.yaxis.set_major_formatter(lambda x, pos: f"{int(x):07b}")

x = np.arange(1, 10, 0.1)
ax.plot(x, x ** 2)
plt.show()

example plot

This has been tested with matplotlib 3.3.4. For older versions, you might need a FuncFormatter:

from matplotlib.ticker import FuncFormatter
ax.yaxis.set_major_formatter(FuncFormatter(lambda x, pos: f"{int(x):07b}"))

Upvotes: 1

Related Questions