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Bug 3098 - mettre à jour les graphiques montrant l'évolution du cluster 

- improved readability by adding a color spacing between labs to help to easily identify all wners of the same group
This commit is contained in:
Guillaume Raffy 2021-02-24 09:13:12 +00:00
parent 08ac2506ae
commit 939ecda69d
1 changed files with 24 additions and 4 deletions
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28
cluster_stats.py
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@ -135,26 +135,46 @@ def stackplot(ax, x_signal, y_signals, legend_location='best'):
ax.stackplot(x_signal, list(y_signals.values())) ax.stackplot(x_signal, list(y_signals.values()))
plt.legend(list(y_signals.keys())) plt.legend(list(y_signals.keys()))
else: else:
# emulating missing Axes.stackplot method
colors = get_rgb_palette(num_colors=len(y_signals), saturation=1.0, value=0.8) # ['blue', 'orange', 'green', 'purple', 'yellow', 'cyan']
# we sort the signals according to their labels to group departments of the same lab together on the plot # we sort the signals according to their labels to group departments of the same lab together on the plot
ordered_y_signals = [] ordered_y_signals = []
ordered_labels = [] ordered_labels = []
labs = set()
owner_to_lab = {}
for label, y_signal in sorted(y_signals.items()): for label, y_signal in sorted(y_signals.items()):
ordered_y_signals.append(y_signal) ordered_y_signals.append(y_signal)
ordered_labels.append(label) ordered_labels.append(label)
lab = label.split('.')[0]
labs.add(lab)
owner_to_lab[label] = lab
# instead of evenly spreading the colour in the spectrum, we try to separate groups of colors (1 group for a lab), to ease reading the graph
num_unused_colors_between_labs = 1
num_unused_colors = len(labs) * num_unused_colors_between_labs
num_owners = len(y_signals)
num_colors = num_owners + num_unused_colors
# emulating missing Axes.stackplot method
colors = get_rgb_palette(num_colors=num_colors, saturation=1.0, value=0.8) # ['blue', 'orange', 'green', 'purple', 'yellow', 'cyan']
y = np.row_stack(ordered_y_signals) y = np.row_stack(ordered_y_signals)
# this call to 'cumsum' (cumulative sum), passing in your y data, # this call to 'cumsum' (cumulative sum), passing in your y data,
# is necessary to avoid having to manually order the datasets # is necessary to avoid having to manually order the datasets
y_stack = np.cumsum(y, axis=0) # a 3x10 array y_stack = np.cumsum(y, axis=0) # a 3x10 array
last_lab = None
color_index = 0
for series_index in range(len(y_signals)): for series_index in range(len(y_signals)):
if series_index == 0: if series_index == 0:
from_signal = 0 from_signal = 0
else: else:
from_signal = y_stack[series_index - 1, :] from_signal = y_stack[series_index - 1, :]
ax.fill_between(x_signal, from_signal, y_stack[series_index, :], color=colors[series_index], lw=0.0) owner = ordered_labels[series_index]
p = plt.Rectangle((0, 0), 0, 0, color=colors[series_index]) lab = owner_to_lab[owner]
color_index = (color_index + 1) % num_colors
if lab != last_lab:
color_index = (color_index + num_unused_colors_between_labs) % num_colors
last_lab = lab
ax.fill_between(x_signal, from_signal, y_stack[series_index, :], color=colors[color_index], lw=0.0)
p = plt.Rectangle((0, 0), 0, 0, color=colors[color_index])
ax.add_patch(p) ax.add_patch(p)
if legend_location == 'outside right': if legend_location == 'outside right':