From fc228a722d01c664aa1766f44651db4e5cb1e5a4 Mon Sep 17 00:00:00 2001
From: Alex Moreo <alejandro.moreo@isti.cnr.it>
Date: Tue, 6 Jul 2021 09:57:52 +0200
Subject: [PATCH] setting different colors to error drifts
---
TweetSentQuant/experiments_NPP.py | 2 +-
TweetSentQuant/gen_plots.py | 10 +++++-----
quapy/plot.py | 7 +++++--
3 files changed, 11 insertions(+), 8 deletions(-)
diff --git a/TweetSentQuant/experiments_NPP.py b/TweetSentQuant/experiments_NPP.py
index bd9b808..d14f32c 100644
--- a/TweetSentQuant/experiments_NPP.py
+++ b/TweetSentQuant/experiments_NPP.py
@@ -74,7 +74,7 @@ def quantification_ensembles():
# will be skipped (by setting hyperparameters to None)
hyper_none = None
yield 'epaccmaeptr', EPACC(newLR(), optim='mae', policy='ptr', **common), hyper_none
- yield 'epaccmaemae1k', EPACC(newLR(), optim='mae', policy='mae', **common), hyper_none
+ yield 'epaccmaemae', EPACC(newLR(), optim='mae', policy='mae', **common), hyper_none
# yield 'esldmaeptr', EEMQ(newLR(), optim='mae', policy='ptr', **common), hyper_none
# yield 'esldmaemae', EEMQ(newLR(), optim='mae', policy='mae', **common), hyper_none
diff --git a/TweetSentQuant/gen_plots.py b/TweetSentQuant/gen_plots.py
index 360a96b..dc5a0a9 100644
--- a/TweetSentQuant/gen_plots.py
+++ b/TweetSentQuant/gen_plots.py
@@ -82,13 +82,13 @@ new_methods_ae = ['svmmae' , 'epaccmaeptr', 'epaccmaemae', 'hdy', 'quanet']
new_methods_rae = ['svmmrae' , 'epaccmraeptr', 'epaccmraemrae', 'hdy', 'quanet']
plot_error_by_drift(gao_seb_methods+new_methods_ae, error_name='ae', path=plotdir)
-plot_error_by_drift(gao_seb_methods+new_methods_rae, error_name='rae', logscale=True, path=plotdir)
+# plot_error_by_drift(gao_seb_methods+new_methods_rae, error_name='rae', logscale=True, path=plotdir)
-diagonal_plot(gao_seb_methods+new_methods_ae, error_name='ae', path=plotdir)
-diagonal_plot(gao_seb_methods+new_methods_rae, error_name='rae', path=plotdir)
+# diagonal_plot(gao_seb_methods+new_methods_ae, error_name='ae', path=plotdir)
+# diagonal_plot(gao_seb_methods+new_methods_rae, error_name='rae', path=plotdir)
-binary_bias_global(gao_seb_methods+new_methods_ae, error_name='ae', path=plotdir)
-binary_bias_global(gao_seb_methods+new_methods_rae, error_name='rae', path=plotdir)
+# binary_bias_global(gao_seb_methods+new_methods_ae, error_name='ae', path=plotdir)
+# binary_bias_global(gao_seb_methods+new_methods_rae, error_name='rae', path=plotdir)
#binary_bias_bins(gao_seb_methods+new_methods_ae, error_name='ae', path=plotdir)
#binary_bias_bins(gao_seb_methods+new_methods_rae, error_name='rae', path=plotdir)
diff --git a/quapy/plot.py b/quapy/plot.py
index 8d46ea5..d77b82a 100644
--- a/quapy/plot.py
+++ b/quapy/plot.py
@@ -208,13 +208,14 @@ def error_by_drift(method_names, true_prevs, estim_prevs, tr_prevs, n_bins=20, e
inds = np.digitize(tr_test_drifts, bins, right=True)
inds_histogram_global += np.histogram(tr_test_drifts, density=True, bins=bins)[0]
- xs, ys, ystds = [], [], []
+ xs, ys, ystds, npoints = [], [], [], []
for ind in range(len(bins)):
selected = inds==ind
if selected.sum() > 0:
xs.append(ind*binwidth)
ys.append(np.mean(method_drifts[selected]))
ystds.append(np.std(method_drifts[selected]))
+ npoints.append(len(method_drifts[selected]))
xs = np.asarray(xs)
ys = np.asarray(ys)
@@ -224,7 +225,9 @@ def error_by_drift(method_names, true_prevs, estim_prevs, tr_prevs, n_bins=20, e
min_x = min_x_method if min_x is None or min_x_method < min_x else min_x
max_x = max_x_method if max_x is None or max_x_method > max_x else max_x
- ax.errorbar(xs, ys, fmt='-', marker='o', label=method, markersize=3, zorder=2)
+ p = ax.errorbar(xs, ys, fmt='-', marker='o', label=method, markersize=3, zorder=2)
+ ax.scatter(xs, ys, s=npoints, marker="h", color=p[-1].get_color())
+
if show_std:
ax.fill_between(xs, ys-ystds, ys+ystds, alpha=0.25)