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QuaPy
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testing log scale

This commit is contained in:
Pablo González 2023-01-18 13:06:38 +01:00
parent c888346fcf
commit 50d886bffe
1 changed files with 10 additions and 2 deletions
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10
quapy/plot.py
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@ -4,6 +4,7 @@ from matplotlib.cm import get_cmap
import numpy as np
from matplotlib import cm
from scipy.stats import ttest_ind_from_stats
from matplotlib.ticker import StrMethodFormatter, NullFormatter
import quapy as qp
@ -256,6 +257,9 @@ def error_by_drift(method_names, true_prevs, estim_prevs, tr_prevs,
# x_error function) and 'y' is the estim-test shift (computed as according to y_error)
data = _join_data_by_drift(method_names, true_prevs, estim_prevs, tr_prevs, x_error, y_error, method_order)
if method_order is None:
method_order = method_names
_set_colors(ax, n_methods=len(method_order))
bins = np.linspace(0, 1, n_bins+1)
@ -266,7 +270,11 @@ def error_by_drift(method_names, true_prevs, estim_prevs, tr_prevs,
tr_test_drifts = data[method]['x']
method_drifts = data[method]['y']
if logscale:
method_drifts=np.log(1+method_drifts)
#method_drifts=np.log(1+method_drifts)
plt.yscale("log")
ax.yaxis.set_major_formatter(StrMethodFormatter('{x:.2f}'))
ax.yaxis.set_minor_formatter(StrMethodFormatter('{x:.2f}'))
inds = np.digitize(tr_test_drifts, bins, right=True)