1、 批量实现ASCII转栅格

#ASCII转栅格
import arcpy
import os
#批量处理文件的路径
path = 'C:/Users/sdriver/arcgis/ASCII/'
files = os.listdir(path)
for i in files:
    #以txt为后缀的文件
    if os.path.splitext(filename)[1] == '.txt':
        inASCII = path + i
        #输出数据类型
        rasterType = "FLOAT"
        #输出文件的路径
        outRaster ="C:/Users/sdriver/arcgis/ASCII_ToRaster/%s.tif"%i
        arcpy.ASCIIToRaster_conversion(inASCII, outRaster, rasterType)
    

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2、批量实现定义投影

#定义投影
import arcpy
import os
#需修改定义投影的tif文件路径
path = "C:/Users/sdrive/arcgis/"
files = os.listdir(path)
#此处定义坐标为GCS_WGS_1984，具体看下方链接
Coordinate_System = arcpy.SpatialReference(4326)
for i in files:
    adress = path+i
    arcpy.DefineProjection_management(adress, Coordinate_System)

        定义坐标系只需要修改Coordinate_System = arcpy.SpatialReference()括号中的数字，有关坐标系名称和工厂代码的详细信息，可以参阅 ArcGIS 文档，下方为链接。

https://desktop.arcgis.com/zh-cn/arcmap/10.7/analyze/python/pdf/geographic_coordinate_systems.pdfhttps://desktop.arcgis.com/zh-cn/arcmap/10.7/analyze/python/pdf/geographic_coordinate_systems.pdf

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3、批量实现栅格转点

#栅格转点
import arcpy
import os
input_path = "C:/Users/sdrive/arcgis/inout/"
output_path = "C:/Users/sdrive/arcgis/out/"
filenames = os.listdir(input_path)
for i in filenames:
    if os.path.splitext(i)[1] == '.tif':
        inRaster = path + filename
        #取后缀前的文字作为文件命名
        basename = os.path.splitext(filename)[0] 
        outPoint = output_path + basename + '.shp'
        field = "VALUE"
        arcpy.RasterToPoint_conversion(inRaster,outPoint,field)

4、批量实现按分区提取表格

#按分区提取表格
import arcpy
from arcpy import env
from arcpy.sa import *
import os
#输入栅格数据
shp = 'C:/Users/sdriver/arcgis/shp/water.shp'
#输入区域字段
zone_field = "GRIDCODE"
#赋值栅格路径
path = 'C:/Users/sdriver/arcgis_relation/input/'
filenames = os.listdir(path)
for filename in filenames:
    if os.path.splitext(filename)[1] == '.tif':
        #输入赋值栅格
        raster= path + filename
        output = "C:/Users/sdriver/arcgis/output/" + '%s.dbf'%filename
        #统计类型，可以在'MEAN'处修改ALL、SUM等
        ZonalStatisticsAsTable(shp,zone_field,raster,output, "DATA", "MEAN")

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