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QuaPy
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adding more colors to plots

This commit is contained in:
Alejandro Moreo Fernandez 2021-06-15 10:10:19 +02:00
parent 2869effe22
commit 491ac56877
1 changed files with 9 additions and 0 deletions
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9
quapy/plot.py
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@ -12,6 +12,11 @@ plt.rcParams['figure.dpi'] = 200
plt.rcParams['font.size'] = 16 plt.rcParams['font.size'] = 16
def _set_colors(ax, n_methods):
NUM_COLORS = n_methods
cm = plt.get_cmap('gist_rainbow')
ax.set_color_cycle([cm(1. * i / NUM_COLORS) for i in range(NUM_COLORS)])
def binary_diagonal(method_names, true_prevs, estim_prevs, pos_class=1, title=None, show_std=True, legend=True, def binary_diagonal(method_names, true_prevs, estim_prevs, pos_class=1, title=None, show_std=True, legend=True,
train_prev=None, savepath=None): train_prev=None, savepath=None):
fig, ax = plt.subplots() fig, ax = plt.subplots()
@ -20,6 +25,7 @@ def binary_diagonal(method_names, true_prevs, estim_prevs, pos_class=1, title=No
ax.plot([0, 1], [0, 1], '--k', label='ideal', zorder=1) ax.plot([0, 1], [0, 1], '--k', label='ideal', zorder=1)
method_names, true_prevs, estim_prevs = _merge(method_names, true_prevs, estim_prevs) method_names, true_prevs, estim_prevs = _merge(method_names, true_prevs, estim_prevs)
_set_colors(ax, n_methods=len(method_names))
for method, true_prev, estim_prev in zip(method_names, true_prevs, estim_prevs): for method, true_prev, estim_prev in zip(method_names, true_prevs, estim_prevs):
true_prev = true_prev[:,pos_class] true_prev = true_prev[:,pos_class]
@ -78,6 +84,7 @@ def binary_bias_bins(method_names, true_prevs, estim_prevs, pos_class=1, title=N
ax.grid() ax.grid()
method_names, true_prevs, estim_prevs = _merge(method_names, true_prevs, estim_prevs) method_names, true_prevs, estim_prevs = _merge(method_names, true_prevs, estim_prevs)
_set_colors(ax, n_methods=len(method_names))
bins = np.linspace(0, 1, nbins+1) bins = np.linspace(0, 1, nbins+1)
binwidth = 1/nbins binwidth = 1/nbins
@ -185,6 +192,8 @@ def error_by_drift(method_names, true_prevs, estim_prevs, tr_prevs, n_bins=20, e
if method not in method_order: if method not in method_order:
method_order.append(method) method_order.append(method)
_set_colors(ax, n_methods=len(method_order))
bins = np.linspace(0, 1, n_bins+1) bins = np.linspace(0, 1, n_bins+1)
inds_histogram_global = np.zeros(n_bins, dtype=np.float) # we use this to keep track of how many datapoits contribute to each bin inds_histogram_global = np.zeros(n_bins, dtype=np.float) # we use this to keep track of how many datapoits contribute to each bin
binwidth = 1 / n_bins binwidth = 1 / n_bins