Formatação de números de escala logit do Matplotlib

Para fazer isso, você pode definir seu próprio formatador de ticks . Em particular, você pode subclassificar o LogitFormatterpara fazer o que quiser. Seguindo o exemplo do logit_demo , você poderia fazer:

import math
from matplotlib.ticker import LogitFormatter
import matplotlib.pyplot as plt
import numpy as np


# create a formatter class based on the LogitFormatter
class NonScientificLogitFormatter(LogitFormatter):
    def __init__(self, *args, **kwargs):
        # set the default range within which it will not use scientific notation
        self.form_range = kwargs.get("normal_format_range", 1e-3)
        
        super().__init__(*args, **kwargs)

    def __call__(self, x, pos=None):
        # if within that range just output the tick location value as a string
        if x >= self.form_range and x <= 1 - self.form_range:
            return str(x)
        else:
            return super().__call__(x, pos=pos)


xmax = 10
x = np.linspace(-xmax, xmax, 10000)
cdf_norm = [math.erf(w / np.sqrt(2)) / 2 + 1 / 2 for w in x]
cdf_laplacian = np.where(x < 0, 1 / 2 * np.exp(x), 1 - 1 / 2 * np.exp(-x))
cdf_cauchy = np.arctan(x) / np.pi + 1 / 2

fig, ax = plt.subplots()

# Common part, for the example, we will do the same plots on all graphs
ax.plot(x, cdf_norm, label=r"$\mathcal{N}$")
ax.plot(x, cdf_laplacian, label=r"$\mathcal{L}$")
ax.plot(x, cdf_cauchy, label="Cauchy")
ax.legend()
ax.grid()

# First line, logitscale, with standard notation
ax.set(title="logit scale")
ax.set_yscale("logit")
ax.set_ylim(1e-5, 1 - 1e-5)

maj_form = ax.yaxis.get_major_formatter()

# set the y-axis formatter to the one we defined
ax.yaxis.set_major_formatter(
    NonScientificLogitFormatter(
        one_half=maj_form._one_half,
        use_overline=maj_form._use_overline
    )
)