Matplotlib display axis as binary

Question

I'm attempting to label the x-axis of my graph in binary instead of float values in Python 2.7. I'm attempting to use FormatStrFormatter('%b') which according to the documentation provided by the Python Software Foundation should work. I'd also like all the binary strings to be the same length of characters. I've also consulted this link.

The error I'm getting is:

ValueError: unsupported format character 'b' (0x62) at index 1

I've tried to do it like:

import matplotlib.pyplot as plt
import numpy as np
from matplotlib.ticker import FormatStrFormatter

fig, ax = plt.subplots()

ax.yaxis.set_major_formatter(FormatStrFormatter('%b'))
ax.yaxis.set_ticks(np.arange(0, 110, 10))

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

'%b' % 12 throws an error in python 3.6 for me whereas '%x' and '%o' don't. Are you sure it's part of the % format spec? — FHTMitchell
– FHTMitchell, Commented Jul 20, 2018 at 15:41
? That didn't answer my question -- MatPlotLib doesn't support the binary %b spec because the str.__mod__ function doesn't. Look at the last 2 lines of your error: return self.fmt % x ValueError: unsupported format character 'b' (0x62) at index 1 — FHTMitchell
– FHTMitchell, Commented Jul 20, 2018 at 15:48
It should have as b for binary is above those two definitions. — Number1
– Number1, Commented Jul 20, 2018 at 15:49

ImportanceOfBeingErnest · Accepted Answer · 2018-07-20 16:06:24Z

5

You may use a StrMethodFormatter, this works well also with the b option.

StrMethodFormatter("{x:b}")

However leading zeros require to know how many of them you expect (here 7).

StrMethodFormatter("{x:07b}")

Complete example:

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()

edited Jul 20, 2018 at 16:06

answered Jul 20, 2018 at 15:53

ImportanceOfBeingErnest

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Comments

Florian Weimer · Accepted Answer · 2018-07-20 15:50:30Z

2

Try this:

from matplotlib.ticker import FuncFormatter
…
ax.yaxis.set_major_formatter(FuncFormatter("{:b}".format))

It should work in Python 3.5.

answered Jul 20, 2018 at 15:50

Florian Weimer

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