def plot_centre_dist(self, thresh=2, show_threads=True, **kwargs):
"""Plots time elapsed since last comment for each participant"""
project, show, _ = ac.handle_kwargs(**kwargs)
data_high, data_low = self.__get_centre_distances(
thresh, split=True)
# set up and create plots
plt.style.use(SETTINGS['style'])
_, axes = plt.subplots()
colors_high = ac.color_list(
self.author_frame.loc[data_high.columns, 'color'],
SETTINGS['vmin'], SETTINGS['vmax'],
cmap=CMAP)
colors_low = ac.color_list(
self.author_frame.loc[data_low.columns, 'color'],
SETTINGS['vmin'], SETTINGS['vmax'],
cmap=CMAP)
data_high.plot(ax=axes, color=colors_high, legend=False)
data_low.plot(ax=axes, alpha=.1, color=colors_low, legend=False)
axes.set_ylabel("Days elapsed since last comment")
axes.set_title("Distance from centre of discussion\n{}".format(
project))
axes.xaxis.set_ticks_position('bottom')
axes.yaxis.set_ticks_position('left')
if show_threads:
self.__show_threads(axes)
ac.show_or_save(show)
def plot_centrality_measures(self,
g_type="interaction", measures=None,
delete_on=None, thresh=0, **kwargs):
"""Shows plot of degree_centrality for each author
(only if first measure is non-zero)"""
project, show, fontsize = ac.handle_kwargs(**kwargs)
if not measures:
measures = self.centr_measures
centr_cols, centrality, means = self.__get_centrality_measures(
g_type, measures)
if delete_on is not None:
centrality = centrality[centrality[centr_cols[delete_on]] > thresh]
colors = ac.color_list(len(measures),
SETTINGS['vmin'], SETTINGS['vmax'],
factor=15)
full_measure_names = centrality.columns
centrality.columns = [
col.replace(g_type + " ", "") for col in centrality.columns]
plt.style.use(SETTINGS['style'])
axes = centrality.plot(
kind='bar', color=colors,
title="Centrality-measures for {} ({}-graph)".format(
project, g_type).title())
for measure, color in zip(full_measure_names, colors):
the_mean = means[measure]
axes.lines.append(
mlines.Line2D(
[-.5, len(centrality.index) - .5],
[the_mean, the_mean],
linestyle='-', linewidth=.5,
color=color, zorder=1,
transform=axes.transData))
axes.set_xticklabels(centrality.index, fontsize=fontsize)
ac.show_or_save(show)
def plot_author_activity_pie(self, what='total comments', **kwargs):
"""Shows plot of commenting activity as piechart
what can be either 'total comments' (default) or 'word counts'"""
project, show, fontsize = ac.handle_kwargs(**kwargs)
if what not in set(['total comments', 'word counts']):
raise ValueError
comments = self.author_frame[[what, 'color']].sort_values(
what, ascending=False)
thresh = int(np.ceil(comments[what].sum() / 100))
whatcounted = 'comments' if what == 'total comments' else 'words'
comments.index = [[x if y >= thresh else "fewer than {} {}"
.format(thresh, whatcounted) for
(x, y) in comments[what].items()]]
merged_commenters = comments.index.value_counts()[0]
comments = DataFrame({
'totals': comments[what].groupby(comments.index).sum(),
'maxs': comments[what].groupby(comments.index).max(),
'color': comments['color'].groupby(
comments.index).max()}).sort_values(
'maxs', ascending=False)
for_pie = comments['totals']
for_pie.name = ""
colors = ac.color_list(comments['color'],
SETTINGS['vmin'], SETTINGS['vmax'],
cmap=CMAP)
plt.style.use(SETTINGS['style'])
title = "Activity per author for {}".format(project).title()
if what == "total comments":
title += ' ({} comments, {} with fewer than {} comments)'.format(
int(comments['totals'].sum()),
merged_commenters,
thresh)
else:
title += ' ({} words, {} with fewer than {} words)'.format(
int(comments['totals'].sum()),
merged_commenters,
thresh)
for_pie.plot(
kind='pie', autopct='%.2f %%', figsize=(6, 6),
labels=for_pie.index,
colors=colors,
title=('\n'.join(wrap(title, 60))),
fontsize=fontsize)
ac.show_or_save(show)
