利用Arcpy和Geopandas进行多规比对

利用Arcpy和Geopandas进行多规比对

在ArcGIS中可以很容易进行土规和城规的比对,这里,利用Arcpy和Geopandas来进行多规比对。

利用Arcpy和Geopandas进行多规比对_第1张图片

利用Arcpy和Geopandas进行多规比对_第2张图片

# encoding: utf-8
# @Author : hanqi

数据预处理

导入相关模块

## 导入相关模块
import arcpy
from arcpy import env
import numpy as np
import pandas as pd
import geopandas as gpd
import matplotlib.pyplot as plt

防止乱码

plt.rcParams['font.family'] = ['sans-serif']
plt.rcParams['font.sans-serif'] = ['SimHei']#替换sans-serif字体为黑体
plt.rcParams['axes.unicode_minus'] = False   # 解决坐标轴负数的负号显示问题

设置arcpy工作环境和路径

env.workspace = r"F:\ArcGIS\多规对比"
path = "F:\ArcGIS\多规对比\图斑对比.gdb"
tg_path = "F:\ArcGIS\多规对比\图斑对比.gdb\土规用地"
cg_path = "F:\ArcGIS\多规对比\图斑对比.gdb\城规用地"

土规和城规用地分类

读取数据

land = gpd.GeoDataFrame.from_file(path,layer='土规用地')
city = gpd.GeoDataFrame.from_file(path,layer='城规用地')
land.head()
city.head()

利用Arcpy和Geopandas进行多规比对_第3张图片

arcpy数据处理

## 删除字段
## 因为我做过一遍,所以先删除
arcpy.DeleteField_management(tg_path, "tg_yongdi")
arcpy.DeleteField_management(cg_path, "cg_yongdi")

## 添加字段
fieldName1 = "tg_yongdi"
fieldLength = 30
 
# Execute AddField twice for two new fields
arcpy.AddField_management(tg_path, fieldName1, "TEXT", field_length=fieldLength)

fieldName2 = "cg_yongdi"
fieldLength = 30

arcpy.AddField_management(cg_path, fieldName2, "TEXT", field_length=fieldLength)
## 字段计算器
## 城规字段计算器
## 只有一个水域不是建设用地

# Set local variables
inTable = cg_path
fieldName = "cg_yongdi"
expression = "getClass((!cg_fenlei!))"
codeblock = """
def getClass(cg_fenlei):
    if cg_fenlei in "E11":
        return "城规_非建设用地"
    
    else:
        return "城规_建设用地"   """
        
# Execute CalculateField 
arcpy.CalculateField_management(inTable, fieldName, expression, "PYTHON_9.3", codeblock)
## 土规字段计算器

# Set local variables
inTable = tg_path
fieldName = "tg_yongdi"
expression = "getClass((!Layer!))"
codeblock = """
def getClass(Layer):
    if Layer in ("TG-一般农田", "TG-基本农田", "TG-林地", "TG-水系", "TG-林地"):
        return "土规_非建设用地"
        
    if Layer is None:
        return None
    
    else:
        return "土规_建设用地"   """


# Execute CalculateField 
arcpy.CalculateField_management(inTable, fieldName, expression, "PYTHON_9.3", codeblock)

结果就是上图,土规和城规的用地分为两类了,这里不做演示。

多规比对

## 联合工具

inFeatures = [cg_path, tg_path]
outFeatures = outFeatures = path + "\\多规比对"

arcpy.Union_analysis (inFeatures, outFeatures, "ALL")
dg_path = "F:\ArcGIS\多归对比\图斑对比.gdb\多规比对"
dg = gpd.GeoDataFrame.from_file(path, layer="多规比对")
dg.head()

利用Arcpy和Geopandas进行多规比对_第4张图片

# Set local variables
## 多规字段计算器
inTable = dg_path
fieldName = "cg_yongdi"
expression = "getClass3((!cg_yongdi!))"
codeblock = """
def getClass3(cg_yongdi):
    if cg_yongdi is None:
        return "城规_非建设用地"
    else:
        return cg_yongdi
"""
 
# Execute CalculateField 
arcpy.CalculateField_management(inTable, fieldName, expression, "PYTHON_9.3", codeblock)
## 删除字段

arcpy.DeleteField_management(dg_path, ["FID_城规用地","Layer","cg_fenlei","FID_土规用地"])
## 添加合并字段

fieldName3 = "dg_hebing"
fieldLength = 30
 
# Execute AddField twice for two new fields
arcpy.AddField_management(dg_path, fieldName3, "TEXT", field_length=fieldLength)
## 城规字段合并
# Set local variables
inTable = dg_path
fieldName = "dg_hebing"
expression = "!tg_yongdi!+'_'+!cg_yongdi!"
# Execute CalculateField 
arcpy.CalculateField_management(inTable, fieldName, expression, "PYTHON_9.3")

dg = gpd.GeoDataFrame.from_file(path, layer="多规比对")
dg_path = path+'\\多规比对'
dg

利用Arcpy和Geopandas进行多规比对_第5张图片

冲突对比

## 添加索引
rec = 0
inTable = dg_path
fieldName = "Identify"
expression = "autoIncrement()"
codeblock = """
def autoIncrement():
    global rec
    pStart = 1
    pInterval = 1
    if (rec == 0):
        rec = pStart
     
    else:
        rec = rec + pInterval
    return rec """
 
# Execute AddField
arcpy.AddField_management(inTable, fieldName, "LONG")
 
# Execute CalculateField 
arcpy.CalculateField_management(inTable, fieldName, expression, "PYTHON_9.3", codeblock)
dg = gpd.GeoDataFrame.from_file(path, layer="多规比对")
dg.head()

利用Arcpy和Geopandas进行多规比对_第6张图片

## 按属性分割


# Set local variables
in_feature_class = dg_path
target_workspace = path
fields = ['dg_hebing']
arcpy.SplitByAttributes_analysis(in_feature_class, target_workspace, fields)
cgfjs_tgjs = gpd.GeoDataFrame.from_file(path, layer="土规_非建设用地_城规_建设用地")
cgfjs_tgjs.plot()

利用Arcpy和Geopandas进行多规比对_第7张图片

cgjs_tgfjs = gpd.GeoDataFrame.from_file(path, layer="土规_建设用地_城规_非建设用地")
cgjs_tgfjs.plot()

利用Arcpy和Geopandas进行多规比对_第8张图片

区划调整

土规非建设用地_城规建设用地调整

## 定义路径
tgfjs_cgjs_path = path+"\\土规_非建设用地_城规_建设用地"
# Set local variables
## 土地面积大于10000依城规

inTable = tgfjs_cgjs_path
fieldName = "gz_1"
expression = "getClass((!Shape_Area!))"
codeblock = """
def getClass(Shape_Area):
    if Shape_Area>10000:
        return "依城规用地"
        
    else:
        return "依土规用地"   """


# Execute CalculateField 
arcpy.CalculateField_management(inTable, fieldName, expression, "PYTHON_9.3", codeblock)

利用Arcpy和Geopandas进行多规比对_第9张图片
利用Arcpy和Geopandas进行多规比对_第10张图片

土规建设用地_城规非建设用地调整

## 限制1000以内不隐藏
pd.set_option('max_columns',1000)
pd.set_option('max_row',1000)
tgjs_cgfjs_path = path+"\\土规_建设用地_城规_非建设用地"
tgjs_cgfjs = gpd.GeoDataFrame.from_file(path, layer="土规_建设用地_城规_非建设用地")
tgjs_cgfjs.sort_values('Shape_Area',ascending=False)  ##观察面积

利用Arcpy和Geopandas进行多规比对_第11张图片

# Set local variables
## 土地面积大于10000以土规

inTable = tgjs_cgfjs
fieldName = "gz_2"
expression = "getClass5((!Shape_Area!))"
codeblock = """
def getClass5(Shape_Area):
    if Shape_Area>10000:
        return "依土规用地"

    
    else:
        return "依城规用地"   """


# Execute CalculateField 
arcpy.CalculateField_management(inTable, fieldName, expression, "PYTHON_9.3",   codeblock)
tgjs_cgfjs = gpd.GeoDataFrame.from_file(path, layer="土规_建设用地_城规_非建设用地")
tgjs_cgfjs.plot(column='gz_2',legend=True)

利用Arcpy和Geopandas进行多规比对_第12张图片

数据连接


layerName = dg_path
joinTable = cgjs_tgfjs_path
joinField = "Identify"


# Join the feature layer to a table
arcpy.AddJoin_management(layerName, joinField, joinTable, joinField)


layerName = '多规比对_Layer1'
joinTable = cgfjs_tgjs_path
joinField = "Identify"


# Join the feature layer to a table
arcpy.AddJoin_management(layerName, joinField, joinTable, joinField)

## 导出数据
# 输入
in_features = ['多规比对_Layer1']
# 输出
out_location = path
 
# 执行 FeatureClassToGeodatabase
arcpy.FeatureClassToGeodatabase_conversion(in_features, out_location)

dg_3 = gpd.GeoDataFrame.from_file(path, layer="多规比对_Layer3")
dg_3.head()

利用Arcpy和Geopandas进行多规比对_第13张图片

## 重命名

# Set local variables
in_data =  "多规比对_Layer1"
out_data = "多规比对_最终"

# Execute Rename
arcpy.Rename_management(in_data, out_data)
# Set local variables

inTable = path+"\\多规对比_最终"
fieldName = "gz_all"
expression = "getClass5(!土规_非建设用地_城规_建设用地_gz_1! , !土规_建设用地_城规_非建设用地_gz_2!)"  ## 不能用别名
codeblock = """
def getClass6(gz_1,gz_2):
    if gz_1 is not None:
        return gz_1
        
    if gz_2 is not None:
        return gz_2
         
    else:
        return "无冲突"   """

arcpy.AddField_management(inTable, fieldName, "TEXT", 30)

# Execute CalculateField 
arcpy.CalculateField_management(inTable, fieldName, expression, "PYTHON_9.3", codeblock)
dg_zz = gpd.GeoDataFrame.from_file(path, layer="多规比对_最终")
dg_zz.plot(column='gz_all',legend=True)

利用Arcpy和Geopandas进行多规比对_第14张图片

用地判定

就是根据冲突比对来返回想对呀的地块用地,这里我用字段计算pyhton做不出来,用vb可以,但是可以用pandas来处理。
vb脚本

if [gz_all] = "依土规用地" then
	value = [多规比对_tg_yongdi]

if [gz_all] = "依成规用地" then
	value = [多规比对_cg_yongdi]

if [gz_all] = "无冲突" then
	value = [多规比对_cg_yongdi]
end if
value

pandas

## 最终用地
for i in dg_zz.index:
        if dg_zz.at[i,'gz_all']=="无冲突":
            dg_zz["最终用地"].at[i] = dg_zz["多规比对_tg_yongdi"].at[i]
        if dg_zz.at[i,'gz_all'] == "依城规用地":
            dg_zz["最终用地"].at[i] = dg_zz["多规比对_cg_yongdi"].at[i]
        else:
            dg_zz["最终用地"].at[i] = dg_zz["多规比对_tg_yongdi"].at[i]
dg_zz.head()      
## 分列
dg_zz["用地"] = dg_zz['最终用地'].str.split('_',expand=True)[1]
dg_zz.head()

#dg_zz["用地"] = s.split('_')[1]

结果,这里我进行过很多次计算了
利用Arcpy和Geopandas进行多规比对_第15张图片

## 写入excel文件

dg_zz.to_excel("成果.xlsx",index=None,encoding="utf8")

然后连接回shp文件就行了,有些ArcGIS不支持xlsx,保存的时候可以注意点,我的可以

字段计算器分列

## 分割字段

# Set local variables

inTable = path + "\\多规比对_最终"
fieldName = "yongdi"
expression = "getClass6(!zz_yongdi!)"  ## 不能用别名
codeblock = """
def getClass6(zz_yongdi):
    value = zz_yongdi.split('_')[1]
        
    return value   """

arcpy.AddField_management(inTable, fieldName, "TEXT", 30)
# Execute CalculateField 
arcpy.CalculateField_management(inTable, fieldName, expression, "PYTHON_9.3", codeblock)
dg_zz = gpd.GeoDataFrame.from_file(path, layer="多规比对_最终")
dg_zz.plot(column='zz_yongdi',legend=True)

利用Arcpy和Geopandas进行多规比对_第16张图片

成果出图

fig, ax = plt.subplots(figsize=(10, 10))
ax = dg_zz.plot(ax=ax,column='yongdi',cmap='Set1',legend=True,legend_kwds={
     
                                                     'loc': 'lower left',
                                                     'title': '图例',
                                                     'shadow': True})
plt.suptitle('土地利用建设分布图', fontsize=24) # 添加最高级别标题
plt.tight_layout(pad=4.5) # 调整不同标题之间间距
plt.grid(True, alpha=0.3)

fig.savefig('土地利用建设分布图.png', dpi=300)
fig, ax = plt.subplots(figsize=(10, 10))
ax = dg_zz.plot(ax=ax,column='gz_all',cmap='tab10',legend=True,legend_kwds={
     
                                                     'loc': 'lower left',
                                                     'title': '图例',
                                                     'shadow': True})
plt.suptitle('规划冲突调整图', fontsize=24) # 添加最高级别标题
plt.tight_layout(pad=4.5) # 调整不同标题之间间距
plt.grid(True, alpha=0.3)

fig.savefig('规划冲突调整图.png', dpi=300)

利用Arcpy和Geopandas进行多规比对_第17张图片

利用Arcpy和Geopandas进行多规比对_第18张图片

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