def prepareParameters(self):
"""
method prepares poincare plot parameters
"""
if self.stepper:
self.stepper_size = extract_number(self.stepper, convert=int)
self.stepper_unit = extract_alphabetic(self.stepper,
convert=str.lower)
self.movie_dir = nvl(self.movie_dir, self.output_dir, '')
if isinstance(self.excluded_annotations, str):
self.excluded_annotations = get_as_list(self.excluded_annotations)
if self.filters_names is not None:
map(self.addFilter, get_as_list(self.filters_names))
if self.output_dir:
# remove leading and trailing whitespaces
self.output_dir = self.output_dir.strip()
if self.window_size:
self.window_size_unit = extract_alphabetic(self.window_size,
convert=str.lower)
self.window_size_value = extract_number(self.window_size,
convert=int)
self.movie_multiprocessing_factor = nvl(
self.movie_multiprocessing_factor,
3 if multiprocessing.cpu_count() > 1 else 0)
if not self.data_file == None:
self.group_data_filename = None
if isinstance(self.output_precision, str):
self.output_precision = get_as_tuple(self.output_precision,
convert=int)
elif self.output_precision == None:
self.output_precision = DEFAULT_OUTPUT_PRECISION
if self.add_headers == None:
self.add_headers = True
if len(self.statistics_classes) > 0:
self.statistics_names = [
s.__name__.replace("Statistic", "")
for s in self.statistics_classes
]
def prepareParameters(self):
"""
method prepares poincare plot parameters
"""
if self.stepper:
self.stepper_size = extract_number(self.stepper, convert=int)
self.stepper_unit = extract_alphabetic(self.stepper, convert=str.lower)
self.movie_dir = nvl(self.movie_dir, self.output_dir, "")
if isinstance(self.excluded_annotations, str):
self.excluded_annotations = get_as_list(self.excluded_annotations)
if self.filters_names is not None:
map(self.addFilter, get_as_list(self.filters_names))
if self.output_dir:
# remove leading and trailing whitespaces
self.output_dir = self.output_dir.strip()
if self.window_size:
self.window_size_unit = extract_alphabetic(self.window_size, convert=str.lower)
self.window_size_value = extract_number(self.window_size, convert=int)
self.movie_multiprocessing_factor = nvl(
self.movie_multiprocessing_factor, 3 if multiprocessing.cpu_count() > 1 else 0
)
if not self.data_file == None:
self.group_data_filename = None
if isinstance(self.output_precision, str):
self.output_precision = get_as_tuple(self.output_precision, convert=int)
elif self.output_precision == None:
self.output_precision = DEFAULT_OUTPUT_PRECISION
if self.add_headers == None:
self.add_headers = True
if len(self.statistics_classes) > 0:
self.statistics_names = [s.__name__.replace("Statistic", "") for s in self.statistics_classes]
def merge_xls_by_index_file(output_xls, source_csv_files_mask, separator,
index_file_xls, index_sheet_name):
print('***************************************************')
print('csv source files: ' + source_csv_files_mask)
index_xls = load_workbook(index_file_xls)
index_sheet = index_xls.get_sheet_by_name(index_sheet_name)
index_cells = zip(index_sheet.columns[0], index_sheet.columns[1])
xls = None
merged_sheet = None
for file_nr, _file in enumerate(glob.glob(source_csv_files_mask)):
#if file_nr == 2:
# break
print('===================================')
print('Processing file: ' + str(_file))
if xls == None:
xls = load_workbook(output_xls)
merged_sheet = xls.get_sheet_by_name('merged')
headers_cells = merged_sheet.rows[0]
code_cells = merged_sheet.columns[2]
(headers_line, values_line) = get_first_lines(_file, count=2)
filename = get_filename(_file)
(group, file_ident) = filename.split('_')
headers = [str(group + "_" + header.strip())
for header in headers_line.split(separator)]
values = [value.strip() for value in values_line.split(separator)]
file_number = extract_number(file_ident)
ident_row = None
for (file_index_cell, code_index_cell) in index_cells:
if not ident_row == None:
break
if file_number == file_index_cell.value:
for code_cell in code_cells:
if code_cell.value == code_index_cell.value:
ident_row = code_cell.row - 1
break
#print("ident_row: " + str(ident_row))
#add header
save = False
if ident_row:
for header_idx, header in enumerate(headers):
ident_column = None
for cell in headers_cells:
if header == cell.value:
ident_column = cell.column
break
if ident_column == None:
ident_column = merged_sheet.get_highest_column()
header_cell = merged_sheet.cell(row=0, column=ident_column)
header_cell.value = header
value_cell = merged_sheet.cell(row=ident_row,
column=ident_column)
save = True
else:
value_cell = merged_sheet.cell(
coordinate=ident_column + str(ident_row + 1))
value_cell.value = values[header_idx]
else:
print('No item in xls file for ' + str(_file))
return
if save:
print("Saving " + output_xls)
xls.save(output_xls)
print(".. done")
xls = None
if not xls == None:
print("Saving " + output_xls)
xls.save(output_xls)
print(".. done")