def make_buildmd(allmetadata, fullreport, reportFile, metadataFolder):
"""
Creates several plots from some metadata
and a report.md markdown file embedding the plots.
"""
allmetadata = pd.DataFrame(allmetadata)
import pygal
from pygal.style import CleanStyle
from pygal.style import Style
mystyle = CleanStyle(font_family="sans-serif")
# Pygal chart configuration
from pygal import Config
config = Config()
config.legend_at_bottom = True
config.legend_at_bottom_columns = 3
config.print_values = True
config.style = mystyle
#config.width=500
#config.height=300
config.font_family = "Arial"
# Donut chart for author genders
genders = dict(Counter(allmetadata.loc[:, "au-gender"]))
chart = pygal.Pie(config,
title="Number of novels per author gender",
inner_radius=.60,
font_family="sans-serif")
chart.add("male", genders["M"])
chart.add("female", genders["F"])
chart.add("other", 0)
chart.render_to_file(join(metadataFolder, "au-genders.svg"))
# Bar chart for time periods
timeslots = dict(Counter(allmetadata.loc[:, "time-slot"]))
chart = pygal.Bar(config,
range=(0, 30),
title="Number of novels per 20-year period",
font_family="sans-serif",
legend_at_bottom_columns=4)
chart.add("1840-1859", timeslots["T1"])
chart.add("1860-1879", timeslots["T2"])
chart.add("1880-1899", timeslots["T3"])
chart.add("1900-1919", timeslots["T4"])
chart.render_to_file(join(metadataFolder, "timeslots.svg"))
# Save report.md with embedded charts
reportmd = "## Corpus composition for ELTeC-fra\n\n<img src=\"/Metadata/au-genders.svg\">\n<img src=\"/Metadata/timeslots.svg\">"
with open(reportFile, "w", encoding="utf8") as outfile:
outfile.write(reportmd)
