本文整理汇总了Python中OCO_Matrix.OCO_Matrix.data[row_idx][col_idx]方法的典型用法代码示例。如果您正苦于以下问题：Python OCO_Matrix.data[row_idx][col_idx]方法的具体用法？Python OCO_Matrix.data[row_idx][col_idx]怎么用？Python OCO_Matrix.data[row_idx][col_idx]使用的例子？那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类OCO_Matrix.OCO_Matrix的用法示例。
在下文中一共展示了OCO_Matrix.data[row_idx][col_idx]方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: Process_File
# 需要导入模块: from OCO_Matrix import OCO_Matrix [as 别名]
# 或者: from OCO_Matrix.OCO_Matrix import data[row_idx][col_idx] [as 别名]
def Process_File(source, destination, fileKeywords, moduleSections, valuesDict, mapDict):
logger = logging.getLogger(os.path.basename(__file__))
# Load existing file
matrix_obj = OCO_Matrix(source)
for modifySect in moduleSections:
# Add ability to specify cols individually or using a * to goto end
columns = Apply_Template(modifySect.Get_Keyword_Value('columns'), valuesDict, mapDict=mapDict)
rows = Apply_Template(modifySect.Get_Keyword_Value('rows'), valuesDict, mapDict=mapDict)
modify = modifySect.Get_Keyword_Value('modify')
delete = evaluate_bool_str( modifySect.Get_Keyword_Value('delete') )
add_column = evaluate_bool_str( modifySect.Get_Keyword_Value('add_column') )
if columns != None:
try:
columns = index_range_list(columns, max_value=matrix_obj.dims[1])
except:
if not type(columns) is ListType:
col_name_list = [columns]
else:
col_name_list = columns
columns = []
for curr_name in col_name_list:
if curr_name.lower() not in matrix_obj.labels_lower:
if add_column:
matrix_obj.add_column(curr_name)
columns.append( matrix_obj.dims[1] - 1 )
else:
raise IOError('Column named %s not found in file: %s' % (curr_name, source))
columns.append( matrix_obj.labels_lower.index(curr_name.lower()) )
else:
columns = range(matrix_obj.dims[1])
if rows != None:
rows = index_range_list(rows, max_value=matrix_obj.dims[0])
else:
rows = range(matrix_obj.dims[0])
if delete and modify != None:
raise ValueError('delete and modify keywords can not be specified together')
if delete:
if len(columns) > matrix_obj.dims[1]:
raise IOError('More columns to be deleted %d than exist %d in input file %s' % (len(columns), matrix_obj.dims[1], source))
new_data = numpy.zeros((matrix_obj.dims[0], matrix_obj.dims[1]-len(columns)), dtype=numpy.double)
new_labels = []
new_units = []
new_col_idx = 0
for old_col_idx in range(matrix_obj.dims[1]):
if old_col_idx not in columns:
new_labels.append(matrix_obj.labels[old_col_idx])
new_units.append(matrix_obj.units[old_col_idx])
new_data[:,new_col_idx] = matrix_obj.data[:,old_col_idx]
new_col_idx += 1
matrix_obj.data = new_data
matrix_obj.labels = new_labels
matrix_obj.units = new_units
if modify != None and len(modify) > 0:
modifyDict = copy_module.copy(valuesDict)
Get_Constant_Values(modifySect.Get_Section('->CONSTANTS'), modifyDict)
for row_idx in rows:
for col_idx in columns:
modifyDict['original'] = str(matrix_obj.data[row_idx][col_idx])
modify_str = Apply_Template(modify, modifyDict, mapDict=mapDict)
try:
matrix_obj.data[row_idx][col_idx] = eval(modify_str)
except:
raise RuntimeError('Error evaluating modify string: "%s"' % modify_str)
matrix_obj.write(destination, auto_size_cols=False)