def tags_by_year(name, summary, label, dates):
# Analyze summary data
counts, _, _, date_counts, _ = tabulate.tag_group_year(
summary,
[label],
dates,
)
values = tabulate.norm_counts(counts, date_counts)
# Plot count using tag by date
parts = [name, 'year']
plot_tag_by_year(
counts,
dates,
ylabel='Count',
outname=file_name(parts, path='tag'),
)
# Plot proportion using tag by date
parts.append('norm')
plot_tag_by_year(
values,
dates,
ylabel='Proportion',
outname=file_name(parts, path='tag'),
)
def tags_by_year(name, summary, label, dates):
# Analyze summary data
counts, _, _, date_counts, _ = tabulate.tag_group_year(summary, [label], dates)
values = tabulate.norm_counts(counts, date_counts)
# Plot count using tag by date
parts = [name, "year"]
plot_tag_by_year(counts, dates, ylabel="Count", outname=file_name(parts, path="tag"))
# Plot proportion using tag by date
parts.append("norm")
plot_tag_by_year(values, dates, ylabel="Proportion", outname=file_name(parts, path="tag"))
def groups_by_year(
name,
summary,
labels,
dates,
min_prop=MIN_PROP,
include_none=False,
none_mode="missing",
sorted_labels=None,
sort_key=None,
label_formatter=None,
query=None,
):
"""
"""
#
counts, display_labels = tabulate.tag_group(
summary, labels, sorted_labels=sorted_labels, sort_key=sort_key, min_prop=min_prop, query=query
)
parts = [name, "total"]
plot_values(
counts, display_labels, outname=file_name(parts, path="tag"), ylabel="Count", label_formatter=label_formatter
)
# Analyze summary data
counts, any_counts, dates, date_counts, display_labels = tabulate.tag_group_year(
summary,
labels,
dates,
sorted_labels=sorted_labels,
sort_key=sort_key,
include_none=include_none,
none_mode=none_mode,
min_prop=min_prop,
query=query,
)
# Normalize counts
values = tabulate.norm_counts(counts)
any_values = tabulate.norm_any_counts(any_counts, date_counts)
# Plot count using tag by date
parts = [name, "year"]
plot_values_by_year(
counts,
dates,
display_labels,
ylabel="Count",
label_formatter=label_formatter,
outname=file_name(parts, path="group"),
)
# Plot proportion using tag by date
parts.append("norm")
plot_values_by_year(
values,
dates,
display_labels,
outname=file_name(parts, path="group"),
ylim=(0, 1),
ylabel="Proportion",
label_formatter=label_formatter,
)
# Plot proportion using any tag by date
parts = [name, "year", "any", "norm"]
plot_values_by_year(
any_values, dates, ylabel="Proportion", outname=file_name(parts, path="group"), label_formatter=label_formatter
)
def groups_by_year(name,
summary,
labels,
dates,
min_prop=MIN_PROP,
include_none=False,
none_mode='missing',
sorted_labels=None,
sort_key=None,
label_formatter=None,
query=None):
"""
"""
#
counts, display_labels = tabulate.tag_group(
summary,
labels,
sorted_labels=sorted_labels,
sort_key=sort_key,
min_prop=min_prop,
query=query,
)
parts = [name, 'total']
plot_values(
counts,
display_labels,
outname=file_name(parts, path='tag'),
ylabel='Count',
label_formatter=label_formatter,
)
# Analyze summary data
counts, any_counts, dates, date_counts, display_labels = tabulate.tag_group_year(
summary,
labels,
dates,
sorted_labels=sorted_labels,
sort_key=sort_key,
include_none=include_none,
none_mode=none_mode,
min_prop=min_prop,
query=query,
)
# Normalize counts
values = tabulate.norm_counts(counts)
any_values = tabulate.norm_any_counts(any_counts, date_counts)
# Plot count using tag by date
parts = [name, 'year']
plot_values_by_year(
counts,
dates,
display_labels,
ylabel='Count',
label_formatter=label_formatter,
outname=file_name(parts, path='group'),
)
# Plot proportion using tag by date
parts.append('norm')
plot_values_by_year(
values,
dates,
display_labels,
outname=file_name(parts, path='group'),
ylim=(0, 1),
ylabel='Proportion',
label_formatter=label_formatter,
)
# Plot proportion using any tag by date
parts = [name, 'year', 'any', 'norm']
plot_values_by_year(
any_values,
dates,
ylabel='Proportion',
outname=file_name(parts, path='group'),
label_formatter=label_formatter,
)
