pyutm 0.2.1

网格（数据，列=无，epsg=4326）

• 数据：用于构造网格引用和uid的点数据
  • 数据可以是坐标列表，也可以是csv或shapefile的文件路径
  • 列表应采用以下格式：[（x坐标，y坐标），…]
• 列：如果数据是csv格式，则这些列包含坐标
  • 参数应以以下格式传递：[x坐标，y坐标]
• epsg：数据坐标参考系的epsg编号
  • 默认EPSG为4326（WGS 84）

>>>importpyutm# Create a grid object from a list of longitudes and latitudes>>>lonlat=[(16.776031,-3.005612),(16.772291,-3.007136)]>>>grid_from_list=pyutm.Grid(lonlat)# Create a grid object from a CSV file>>>grid_from_csv=pyutm.Grid('my_points.csv',columns=['LON','LAT'])# Create a grid object from a shapefile in WGS 84 Web Mercator (Auxiliary Sphere)>>>grid_from_shp=pyutm.Grid('my_points.shp',epsg=3857)

如果指定了文件名，此函数会将每个点的网格引用写入文件。 如果输入数据是csv或shapefile格式，则网格引用将作为新列添加到文件中。

此函数始终以[[x，y，'grid reference']，…]格式返回列表

写入参考（fname=none，column='grid\u ref'，precision=10）

• fname（可选）：写入网格引用的文件的名称
  • 输出文件的格式必须与输入数据的格式相同
• 列：网格引用写入的列的标题
  • 默认列名为网格参考
• 精度：网格引用的所需精度，单位为米
  • 默认精度为10米

>>>lonlat=(16.776031,-3.005612)>>>my_grid=pyutm.Grid(lonlat)# Create grid references>>>my_ref=my_grid.write_refs()>>>my_ref[[16.776031,-3.005612,'33MXS97386762']]# Specify the precision of the grid reference>>>my_1m_ref=my_grid.write_refs(precision=1)>>>my_1m_ref[[16.776031,-3.005612,'33MXS9738967626']]# Create grid references from a CSV file>>>grid_from_csv=pyutm.Grid('my_points.csv',column=['LON','LAT'])# Write the grid references to a new CSV with a custom column name>>>grid_from_csv.write_refs('my_refs.csv',column='MY_REFS')# Create grid references from a shapefile>>>grid_from_shp=pyutm.Grid('my_points.shp')# Write the grid references to a new shapefile with 10 km precision>>>grid_from_shp.write_refs('my_refs.shp',precision=10000)

>>>lonlat=(16.776031,-3.005612)>>>my_grid=pyutm.Grid(lonlat)# Create unique identifiers>>>my_uid=my_grid.write_uids()>>>my_uid[[16.776031,-3.005612,'33M-XS-9738-6762-1']]# Increase the precision, add a prefix to the UID, remove the GZD and change the delimiter>>>my_prefix=my_grid.write_uids(precision=1,prefix='m',gzd=False,delimiter=':')>>>my_prefix[[16.776031,-3.005612,'m:XS:97389:67626:1']]# Create UIDs from a CSV file>>>grid_from_csv=pyutm.Grid('my_points.csv',column=['LON','LAT'])# Add prefixes to the UIDs using values in a column of the input CSV,# then write the UIDs to a new CSV with a custom column name>>>grid_from_csv.write_refs('my_uids.csv',column='MY_UIDS',prefix_column='MY_PREFIXES')# Create UIDs from a shapefile>>>grid_from_shp=pyutm.Grid('my_points.shp')# Add prefixes to the UIDs using values in a column of the input shapefile# and decrease the precision, then write the UIDs to a new shapefile.>>>grid_from_shp.write_refs('my_uids.shp',precision=1000)