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create-xls.py
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# -*- coding: utf-8 -*-
import xlwt
import pandas as pd
from optparse import OptionParser
from itertools import chain
import sys
parser = OptionParser()
parser.add_option("-d", "--desc", dest="desc_file",
help="Points file descriptor", metavar="FILE")
parser.add_option("-n", "--ntables", dest="n_measurements",
help="Number of tables")
parser.add_option("-o", "--output", dest="out_file",
help="Output file", metavar="FILE")
(options, args) = parser.parse_args()
if len(sys.argv) != 7:
parser.print_help()
sys.exit()
n_measurements = int(options.n_measurements)
points_desc_filename = options.desc_file
output_filename = options.out_file
points = {}
dists = {}
rep_dists = {}
# Import points
points_desc = pd.read_csv(points_desc_filename, sep=';', keep_default_na=False)
points['dorsal'] = points_desc['ponto.dorsal'][points_desc['ponto.dorsal'] != '']
points['ventral'] = points_desc['ponto.ventral'][points_desc['ponto.ventral'] != '']
dists['dorsal'] = points_desc['controle.dorsal'][points_desc['controle.dorsal'] != ''].map(lambda x: x.split('.')).values
dists['ventral'] = points_desc['controle.ventral'][points_desc['controle.ventral'] != ''].map(lambda x: x.split('.')).values
#rep_dists['dorsal'] = points_desc['calc.dist.dorsal'][points_desc['calc.dist.dorsal'] != ''].map(lambda x: x.split('.')).values
#rep_dists['ventral'] = points_desc['calc.dist.ventral'][points_desc['calc.dist.ventral'] != ''].map(lambda x: x.split('.')).values
#final_dists = points_desc['seq.dist.mx'].dropna().map(lambda x: x.split('.')).values
points_cells = {}
dists_cells = {}
header_line = 1
info_col = 1
vistas_col = info_col + 1
n_vistas = len(points.keys())
n_dists = len(dists.keys())
dists_col = vistas_col + 7*n_vistas
#rep_col = dists_col + 4*n_dists
#final_dists_col = rep_col + 3*n_vistas
# Maximum number of points in a vista
max_n_points = max([len(ps) for ps in chain(points.values(), dists.values())])
line = 1
new_xls = xlwt.Workbook()
data = new_xls.add_sheet('Dados')
def get_column_letter(col_idx):
"""Convert a column number into a column letter (3 -> 'C')
Right shift the column col_idx by 26 to find column letters in reverse
order. These numbers are 1-based, and can be converted to ASCII
ordinals by adding 64.
"""
# these indicies corrospond to A -> ZZZ and include all allowed
# columns
if not 1 <= col_idx <= 18278:
msg = 'Column index out of bounds: %s' % col_idx
raise ColumnStringIndexException(msg)
ordinals = []
temp = col_idx
while temp:
quotient, remainder = divmod(temp, 26)
# check for exact division and borrow if needed
if remainder == 0:
quotient -= 1
remainder = 26
ordinals.append(remainder + 64)
temp = quotient
ordinals.reverse()
return ''.join([chr(ordinal) for ordinal in ordinals])
# Write header
def write_header(info, line, data, dists, points):
data.write(line, 0, info)
for vi, vista in enumerate(points.keys()):
data.write(line, vistas_col + 7*vi, vista)
data.write(line, vistas_col + 7*vi + 1, 'x')
data.write(line, vistas_col + 7*vi + 2, 'y')
data.write(line, vistas_col + 7*vi + 3, 'z')
data.write(line, vistas_col + 7*vi + 4, 'x')
data.write(line, vistas_col + 7*vi + 5, 'y')
data.write(line, vistas_col + 7*vi + 6, 'z')
for vi, vista in enumerate(dists.keys()):
data.write(line, dists_col + 4*vi, "dist. " + vista)
data.write(line, dists_col + 4*vi + 1, 'Medida 1')
data.write(line, dists_col + 4*vi + 2, 'Medida 2')
data.write(line, dists_col + 4*vi + 3, u'Diferença')
# for vi, vista in enumerate(rep_dists.keys()):
# data.write(line, rep_col + 3*vi, "dist. " + vista)
# data.write(line, rep_col + 3*vi + 1, 'Medida 1')
# data.write(line, rep_col + 3*vi + 2, 'Medida 2')
#
# data.write(line, final_dists_col, 'Dist. Final')
# data.write(line, final_dists_col + 1, 'Valor')
form_string = 'IF(AND({}<>0,{}<>0),SQRT(({}-{})^2+({}-{})^2+({}-{})^2),"")'
diff_form_string = "ABS({}-{})"
for mi in range(n_measurements):
points_dict = {}
write_header(mi, line - 1, data, dists, points)
# Create points tables
for vi, vista in enumerate(points.keys()):
vi_col = vistas_col + 7*vi
for pi, p in enumerate(points[vista]):
points_dict[p] = (line + pi, vi_col)
# Write point p in (line + pi, vi_col)
data.write(line + pi, vi_col, p)
# Create distances tables
for vi, vista in enumerate(dists.keys()):
vi_col = dists_col + 4*vi
for di, d in enumerate(dists[vista]):
# Write distance d in (line + di, vi_col)
data.write(line + di, vi_col, '-'.join(d))
# Write formula for distance
p1_x = get_column_letter(vistas_col + 7*vi + 2) + str(points_dict[d[0]][0] + 1)
p1_y = get_column_letter(vistas_col + 7*vi + 3) + str(points_dict[d[0]][0] + 1)
p1_z = get_column_letter(vistas_col + 7*vi + 4) + str(points_dict[d[0]][0] + 1)
p2_x = get_column_letter(vistas_col + 7*vi + 2) + str(points_dict[d[1]][0] + 1)
p2_y = get_column_letter(vistas_col + 7*vi + 3) + str(points_dict[d[1]][0] + 1)
p2_z = get_column_letter(vistas_col + 7*vi + 4) + str(points_dict[d[1]][0] + 1)
# Measure 1 formula
fstring = form_string.format(p1_x, p2_x, p1_x, p2_x, p1_y, p2_y, p1_z, p2_z)
dist_formula = xlwt.Formula(fstring)
data.write(line + di, vi_col + 1, dist_formula)
# Measure 2 formula
p1_x = get_column_letter(vistas_col + 7*vi + 5) + str(points_dict[d[0]][0] + 1)
p1_y = get_column_letter(vistas_col + 7*vi + 6) + str(points_dict[d[0]][0] + 1)
p1_z = get_column_letter(vistas_col + 7*vi + 7) + str(points_dict[d[0]][0] + 1)
p2_x = get_column_letter(vistas_col + 7*vi + 5) + str(points_dict[d[1]][0] + 1)
p2_y = get_column_letter(vistas_col + 7*vi + 6) + str(points_dict[d[1]][0] + 1)
p2_z = get_column_letter(vistas_col + 7*vi + 7) + str(points_dict[d[1]][0] + 1)
fstring = form_string.format(p1_x, p2_x, p1_x, p2_x, p1_y, p2_y, p1_z, p2_z)
dist_formula = xlwt.Formula(fstring)
data.write(line + di, vi_col + 2, dist_formula)
# Write difference formula
diff_1 = get_column_letter(vi_col + 2) + str(line + di + 1)
diff_2 = get_column_letter(vi_col + 3) + str(line + di + 1)
diff_formula = xlwt.Formula(diff_form_string.format(diff_1, diff_2))
data.write(line + di, vi_col + 3, diff_formula)
# # Create repeatability tables
# for vi, vista in enumerate(rep_dists.keys()):
# vi_col = rep_col + 3*vi
# for di, d in enumerate(rep_dists[vista]):
# # Write
# data.write(line + di, vi_col, '-'.join(d))
#
# # Create final data table
# for di, d in enumerate(final_dists):
# data.write(line + di, final_dists_col, '-'.join(d))
line += max_n_points + 2
new_xls.save(output_filename)