def save_pdf(report_name, table):
if not qconfig.draw_plots:
return
all_rows = get_all_rows_out_of_table(table)
column_widths = [0] * (len(all_rows[0]['values']) + 1)
for row in all_rows:
for i, cell in enumerate([row['metricName']] +
_mapme(val_to_str, row['values'])):
column_widths[i] = max(column_widths[i], len(cell))
if qconfig.min_contig:
extra_info = 'All statistics are based on contigs of size >= %d bp, unless otherwise noted ' % qconfig.min_contig +\
'\n(e.g., "# contigs (>= 0 bp)" and "Total length (>= 0 bp)" include all contigs).'
else:
extra_info = ''
table_to_draw = []
for row in all_rows:
table_to_draw.append([
'%s' % cell
for cell in [row['metricName']] + _mapme(val_to_str, row['values'])
])
from quast_libs import plotter
plotter.draw_report_table(report_name, extra_info, table_to_draw,
column_widths)
def save_pdf(report_name, table):
if not qconfig.draw_plots:
return
all_rows = get_all_rows_out_of_table(table)
column_widths = [0] * (len(all_rows[0]['values']) + 1)
for row in all_rows:
for i, cell in enumerate([row['metricName']] + _mapme(val_to_str, row['values'])):
column_widths[i] = max(column_widths[i], len(cell))
if qconfig.min_contig:
extra_info = 'All statistics are based on contigs of size >= %d bp, unless otherwise noted ' % qconfig.min_contig +\
'\n(e.g., "# contigs (>= 0 bp)" and "Total length (>= 0 bp)" include all contigs).'
else:
extra_info = ''
table_to_draw = []
for row in all_rows:
table_to_draw.append(['%s' % cell for cell
in [row['metricName']] + _mapme(val_to_str, row['values'])])
from quast_libs import plotter
plotter.draw_report_table(report_name, extra_info, table_to_draw, column_widths)