本文整理汇总了Python中anuga.file.netcdf.NetCDFFile.variables['vertex_attribute_titles'][:]方法的典型用法代码示例。如果您正苦于以下问题：Python NetCDFFile.variables['vertex_attribute_titles'][:]方法的具体用法？Python NetCDFFile.variables['vertex_attribute_titles'][:]怎么用？Python NetCDFFile.variables['vertex_attribute_titles'][:]使用的例子？那么恭喜您, 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anuga.file.netcdf.NetCDFFile的用法示例。
在下文中一共展示了NetCDFFile.variables['vertex_attribute_titles'][:]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: _write_msh_file
# 需要导入模块: from anuga.file.netcdf import NetCDFFile [as 别名]
# 或者: from anuga.file.netcdf.NetCDFFile import variables['vertex_attribute_titles'][:] [as 别名]
#.........这里部分代码省略.........
outfile.createDimension('num_of_triangle_vertices', 3)
outfile.createDimension('num_of_triangle_faces', 3)
outfile.createDimension('num_of_region_max_area', 1)
# Create dimensions, variables and set the variables
# trianglulation
# vertices
if (mesh['vertices'].shape[0] > 0):
outfile.createDimension('num_of_vertices', mesh['vertices'].shape[0])
outfile.createVariable('vertices', netcdf_float, ('num_of_vertices',
'num_of_dimensions'))
outfile.variables['vertices'][:] = mesh['vertices']
#print 'mesh vertex attributes', mesh['vertex_attributes'].shape
if (mesh['vertex_attributes'] is not None and
(mesh['vertex_attributes'].shape[0] > 0 and
mesh['vertex_attributes'].shape[1] > 0)):
outfile.createDimension('num_of_vertex_attributes',
mesh['vertex_attributes'].shape[1])
outfile.createDimension('num_of_vertex_attribute_title_chars',
mesh['vertex_attribute_titles'].shape[1])
outfile.createVariable('vertex_attributes',
netcdf_float,
('num_of_vertices',
'num_of_vertex_attributes'))
outfile.createVariable('vertex_attribute_titles',
netcdf_char,
('num_of_vertex_attributes',
'num_of_vertex_attribute_title_chars'))
outfile.variables['vertex_attributes'][:] = \
mesh['vertex_attributes']
outfile.variables['vertex_attribute_titles'][:] = \
mesh['vertex_attribute_titles']
# segments
if (mesh['segments'].shape[0] > 0):
outfile.createDimension('num_of_segments', mesh['segments'].shape[0])
outfile.createVariable('segments', netcdf_int,
('num_of_segments', 'num_of_segment_ends'))
outfile.variables['segments'][:] = mesh['segments']
if (mesh['segment_tags'].shape[1] > 0):
outfile.createDimension('num_of_segment_tag_chars',
mesh['segment_tags'].shape[1])
outfile.createVariable('segment_tags',
netcdf_char,
('num_of_segments',
'num_of_segment_tag_chars'))
outfile.variables['segment_tags'][:] = mesh['segment_tags']
# triangles
if (mesh['triangles'].shape[0] > 0):
outfile.createDimension('num_of_triangles', mesh['triangles'].shape[0])
outfile.createVariable('triangles', netcdf_int,
('num_of_triangles', 'num_of_triangle_vertices'))
outfile.createVariable('triangle_neighbors', netcdf_int,
('num_of_triangles', 'num_of_triangle_faces'))
outfile.variables['triangles'][:] = mesh['triangles']
outfile.variables['triangle_neighbors'][:] = mesh['triangle_neighbors']
if (mesh['triangle_tags'] is not None and
(mesh['triangle_tags'].shape[1] > 0)):
outfile.createDimension('num_of_triangle_tag_chars',
mesh['triangle_tags'].shape[1])
outfile.createVariable('triangle_tags', netcdf_char,
('num_of_triangles',