def project_participation_evolution(
pm_frame, all_authors, n=2, skip_anon=True, research_only=False):
"""Assembles data on participation to projects with n as thresh.
Returns DataFrame, index, selection and title for data for use
by stacked bar-plot and heatmap functions."""
if not research_only:
thread_type = 'all threads'
data, _ = get_last(pm_frame, thread_type)
all_authors = list(all_authors)
title = "Participation per project in Polymath\
(threshold = {})".format(n)
else:
thread_type = 'research threads'
data, _ = get_last(pm_frame, thread_type)
all_authors = set().union(
*data['research threads', 'authors (accumulated)'])
title = "Participation per project in Polymath\
(threshold = {}, only research-threads)".format(n)
data.index = data.index.droplevel(1)
author_project = DataFrame(columns=all_authors)
for author in author_project.columns:
author_project[author] = data[
thread_type, 'authors (accumulated)'].apply(
lambda project, author=author: author in project)
author_project = author_project.T
author_project = author_project.sort_values(by=data.index.tolist(),
ascending=False)
author_project = author_project.drop(
"Anonymous") if skip_anon else author_project
select = author_project.sum(axis=1) >= n
return author_project, data.index, select, title
def plot_community_evolution(pm_frame, project, thread_type):
"""Area_plot of current, joined and left per project or thread.
thread_type is 'all threads', 'research threads', or 'discussion
threads'"""
if not thread_type:
logging.warning("Need explicit thread type")
return
try:
int(project.split()[-1])
as_threads = True
except ValueError:
as_threads = False
if as_threads:
data = pm_frame[['basic', thread_type]].loc[project].dropna()
added, removed = _added_removed(data, thread_type, 'authors')
size = data[thread_type, 'authors'].apply(len) - added
df = DataFrame({'joined': added, 'left': removed, 'current': size},
columns=["joined", "current", "left"], index=data.index)
df.index = range(len(df))
try:
assert np.all(df == df.dropna())
except AssertionError:
logging.warning("Some nan-values still present")
df.index.name = "Threads"
else:
data, positions = get_last(pm_frame, thread_type)
added, removed = _added_removed(
data, thread_type, 'authors (accumulated)')
size = data[thread_type, 'authors (accumulated)'].dropna().apply(
len) - added
df = DataFrame({'joined': added, 'left': removed, 'current': size},
columns=["joined", "current", "left"])
df.index = range(1, len(positions) + 1)
mpl.style.use(SBSTYLE)
axes = df.plot(kind="area", title="Community Evolution in {} ({})".format(
project, thread_type),
color=['sage', 'lightgrey', 'indianred'], stacked=True)
axes.set_xticks(df.index)
axes.xaxis.set_ticks_position('bottom')
axes.yaxis.set_ticks_position('left')
if as_threads:
axes.set_xticklabels(data['basic', 'title'], rotation=90,
fontsize='small')
else:
xlabels = data.index.droplevel(1)
axes.set_xticklabels(xlabels, rotation=90, fontsize='small')
axes.set_ylabel('number of active commenters')
