Arcgis批量图斑生成图片_python

批量生成图片

任务需求
环境与数据准备
代码实现
运行结果

任务需求

实际作业中，往往需要导出一些经典的案例图斑用作参考。而能称之为经典的图斑大部分都会来源于多个不同的数据源中。接下来就实现跨数据源根据指定BSM导出指定图斑图片：

环境与数据准备

1、arcgis10.2.2
2、准备一份数据源，此处使用GDB作为数据源。
3、准备提供地图要素参考信息的地图文档.mxd文件,可以在里面设置图斑信息。

代码实现

# encoding:utf-8
import os.path
import arcpy
import sys
import time

default_encoding = 'utf-8'
if sys.getdefaultencoding() != default_encoding:
    reload(sys)
    sys.setdefaultencoding(default_encoding)


def u(s):
    if isinstance(s, unicode):
        return s
    elif isinstance(s, str):
        try:
            return s.decode('utf-8')
        except Exception as e:
            pass
        try:
            return s.decode('cp936')
        except Exception:
            print 'Unknow coding of {0}'.format(s)
    else:
        return u(str(s))


if __name__ == '__main__':
    try:
        output_path = r'D:\批量照片导出测试'
        source_path = r'D:\批量照片导出测试\数据源.gdb'
        mxd_file = u(r'D:\批量照片导出测试\模板.mxd')
        tbbsms = ['A1', 'A2', 'B1', 'B2']  #

        arcpy.env.overwriteOutput = True
        start_time = time.time()
        my_mxd = arcpy.mapping.MapDocument(mxd_file)
        data_frame = arcpy.mapping.ListDataFrames(my_mxd)[0]
        tar_lyr = None
        for lyr in arcpy.mapping.ListLayers(my_mxd, "", data_frame):
            print lyr.name
            if lyr.name == 'DL':
                tar_lyr = lyr

        last_dataSource = tar_lyr.dataSource
        for bsm in tbbsms:
            tar_ly = bsm[0:1]
            next_dataSource = tar_ly
            if next_dataSource != last_dataSource:
                tar_lyr.replaceDataSource(source_path, 'FILEGDB_WORKSPACE', next_dataSource)
                last_dataSource = next_dataSource

            # 按属性选择
            arcpy.SelectLayerByAttribute_management(tar_lyr, "NEW_SELECTION", "BSM='{0}'".format(bsm))
            # tar_lyr.definitionQuery = 'BSM =' + "'" + bsm + "'"
            data_frame.zoomToSelectedFeatures()  # 缩放至选中要素
            arcpy.RefreshActiveView()  # 刷新活动视角
            # Export to picture format
            png_file = os.path.join(output_path, '{0}.png'.format(bsm))
            arcpy.mapping.ExportToPNG(my_mxd, png_file, data_frame, df_export_width=500, df_export_height=300,
                                      resolution=96)
            arcpy.AddMessage("{0} has been saved,Time {1}s".format("{0}.png".format(bsm), time.time() - start_time))

        del my_mxd

    except arcpy.ExecuteError:
        print arcpy.GetMessages()
    except Exception as e:
        print e.message