使用python从xls坐标文件中生成面要素

Posted 2021-01-22 A Promise

#根据xls文件生成图形数据，并赋值其它属性信息

# coding:utf8

import arcpy

import xlrd

 

arcpy.env.workspace = r"F: est.gdb"

fc = "polygon"

cursor = arcpy.da.InsertCursor(fc, ["字段1", "字段2", "字段3", "[email protected]"])

xlsfile = xlrd.open_workbook(r"F: est.xls", "r")

mysheet1 = xlsfile.sheet_by_name("sheet1")

polygonarray = arcpy.Array()

rownum = mysheet1.nrows

colnum = mysheet1.ncols

fid = ""

count = 0

ismark = False

i = 0

try:

    for i in range(rownum):

        row = mysheet1.row_values(i)

        flowsn = row[1]

        if fid == "":

            fid = int(row[0])

        xmmc = row[2]

        bh = int(row[3])

        x = row[4]

        y = row[5]

        iswk = row[6]

        pnt = arcpy.Point()

        pnt.ID = bh

        pnt.X = x

        pnt.Y = y

        if fid == row[0]:

            if iswk == 1:

                polygonarray.add(pnt)

            else:

                if ismark:

                    polygonarray.add(pnt)

                else:

                    polygonarray.add(arcpy.Point())

                    ismark = True

                    polygonarray.add(pnt)

            if i == rownum - 1:

                poly = arcpy.Polygon(polygonarray)

                cursor.insertRow([fid, flowsn, xmmc, poly])

                print "要素{0}已经生成".format(fid)

                count = count + 1

                polygonarray.removeAll()

                ismark = False

        else:

            nfid = int(row[0])

            poly = arcpy.Polygon(polygonarray)

            row = mysheet1.row_values(i - 1)

            flowsn = row[1]

            xmmc = row[2]

            fid = int(row[0])

            cursor.insertRow([fid, flowsn, xmmc, poly])

            print "要素{0}已经生成".format(fid)

            count = count + 1

            polygonarray.removeAll()

            polygonarray.add(pnt)

            fid = nfid

            ismark = False

except Exception as e:

    print e.message

if cursor:

    del cursor

print "共生成要素{0}个".format(count)