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G.S. J
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I have a shapefile and a layer file. In the shapefile, I am updating the last column using a .dbf file, which has numeric values. So, the last column of the shapefile will be updated five times and I have five data frames in one MXD file. So, whenever the shapefile gets updated, it has to go to a new data frame.

Here is my code:

import arcpy
arcpy.env.workspace = 'C:\\Users\\Jaggu\\Documents\\ArcGIS\\Default.gdb'
mxd = arcpy.mapping.MapDocument(r"D:\Project\CROPWAT\WRR\DistrictScaleNew1\Block_scale\ArcMap\IWR2.mxd")
lyrfile = r'D:\Project\CROPWAT\WRR\DistrictScaleNew1\Block_scale\ArcMap\AP_APWRIMS7.lyr'
lyrfile1 = arcpy.mapping.Layer(lyrfile) #Converting to a layer file in the current env

#update field
updateFld = "IWR"
#update fc key field
IdFld = "dtname"

#join feature class
joinFc = r"D:\Project\CROPWAT\WRR\DistrictScaleNew1\Block_scale\ArcMap\IWR.dbf"
#join value field to be transferred
#joinValFld = dbffields[i]
#join key field
joinIdFld = "district"

#create dictionary
#Key: join field
#Value: field with value to be transferred

for index, item in enumerate(arcpy.mapping.ListDataFrames(mxd)):
    
valueDists = []
for i in range(len(dfs)):
    arcpy.mapping.AddLayer(dfs[i],lyrfile1,"BOTTOM")
    joinValFld = dbffields[i]
    valueDist = {}
    valueDist = dict ([(key, val) for key, val in arcpy.da.SearchCursor(joinFc, [joinIdFld, joinValFld])])
    valueDists.append(valueDist)
currentlayers = []
#update feature class
for i in range(len(valueDists)):
    #currentlayer = arcpy.mapping.ListLayers(dfs[i])[0]
    with arcpy.da.UpdateCursor (shpfile, [updateFld, IdFld]) as cursor:
        valueDist = valueDists[i]
        for update, key in cursor:
            row = (valueDist [key], key)
            print row
            cursor.updateRow (row)
        arcpy.mapping.UpdateLayer(dfs[i], shpfile, currentlayer, True)
    currentlayer = arcpy.mapping.ListLayers(dfs[i])[0]
    currentlayers.append(currentlayer)
mxd.saveACopy('D:\\Project\\CROPWAT\\WRR\\DistrictScaleNew1\\Block_scale\\ArcMap\\AP_APWRIMS1.mxd')

The problem that I am facing is that the code is running without any errors but all five data frames were updated with the last updated shapefile data. Plot is looking like this: enter image description here

But I want five different choropleths. I have already checked the last column of shapefile and it gets updated but it is not showing in ArcMap.

What is wrong?

My Original MXD file looks like this: enter image description here

I have a shapefile and a layer file. In the shapefile, I am updating the last column using a .dbf file, which has numeric values. So, the last column of the shapefile will be updated five times and I have five data frames in one MXD file. So, whenever the shapefile gets updated, it has to go to a new data frame.

Here is my code:

import arcpy
arcpy.env.workspace = 'C:\\Users\\Jaggu\\Documents\\ArcGIS\\Default.gdb'
mxd = arcpy.mapping.MapDocument(r"D:\Project\CROPWAT\WRR\DistrictScaleNew1\Block_scale\ArcMap\IWR2.mxd")
lyrfile = r'D:\Project\CROPWAT\WRR\DistrictScaleNew1\Block_scale\ArcMap\AP_APWRIMS7.lyr'
lyrfile1 = arcpy.mapping.Layer(lyrfile) #Converting to a layer file in the current env

#update field
updateFld = "IWR"
#update fc key field
IdFld = "dtname"

#join feature class
joinFc = r"D:\Project\CROPWAT\WRR\DistrictScaleNew1\Block_scale\ArcMap\IWR.dbf"
#join value field to be transferred
#joinValFld = dbffields[i]
#join key field
joinIdFld = "district"

#create dictionary
#Key: join field
#Value: field with value to be transferred

for index, item in enumerate(arcpy.mapping.ListDataFrames(mxd)):
    
valueDists = []
for i in range(len(dfs)):
    arcpy.mapping.AddLayer(dfs[i],lyrfile1,"BOTTOM")
    joinValFld = dbffields[i]
    valueDist = {}
    valueDist = dict ([(key, val) for key, val in arcpy.da.SearchCursor(joinFc, [joinIdFld, joinValFld])])
    valueDists.append(valueDist)
currentlayers = []
#update feature class
for i in range(len(valueDists)):
    #currentlayer = arcpy.mapping.ListLayers(dfs[i])[0]
    with arcpy.da.UpdateCursor (shpfile, [updateFld, IdFld]) as cursor:
        valueDist = valueDists[i]
        for update, key in cursor:
            row = (valueDist [key], key)
            print row
            cursor.updateRow (row)
        arcpy.mapping.UpdateLayer(dfs[i], shpfile, currentlayer, True)
    currentlayer = arcpy.mapping.ListLayers(dfs[i])[0]
    currentlayers.append(currentlayer)
mxd.saveACopy('D:\\Project\\CROPWAT\\WRR\\DistrictScaleNew1\\Block_scale\\ArcMap\\AP_APWRIMS1.mxd')

The problem that I am facing is that the code is running without any errors but all five data frames were updated with the last updated shapefile data. Plot is looking like this: enter image description here

But I want five different choropleths. I have already checked the last column of shapefile and it gets updated but it is not showing in ArcMap.

What is wrong?

I have a shapefile and a layer file. In the shapefile, I am updating the last column using a .dbf file, which has numeric values. So, the last column of the shapefile will be updated five times and I have five data frames in one MXD file. So, whenever the shapefile gets updated, it has to go to a new data frame.

Here is my code:

import arcpy
arcpy.env.workspace = 'C:\\Users\\Jaggu\\Documents\\ArcGIS\\Default.gdb'
mxd = arcpy.mapping.MapDocument(r"D:\Project\CROPWAT\WRR\DistrictScaleNew1\Block_scale\ArcMap\IWR2.mxd")
lyrfile = r'D:\Project\CROPWAT\WRR\DistrictScaleNew1\Block_scale\ArcMap\AP_APWRIMS7.lyr'
lyrfile1 = arcpy.mapping.Layer(lyrfile) #Converting to a layer file in the current env

#update field
updateFld = "IWR"
#update fc key field
IdFld = "dtname"

#join feature class
joinFc = r"D:\Project\CROPWAT\WRR\DistrictScaleNew1\Block_scale\ArcMap\IWR.dbf"
#join value field to be transferred
#joinValFld = dbffields[i]
#join key field
joinIdFld = "district"

#create dictionary
#Key: join field
#Value: field with value to be transferred

for index, item in enumerate(arcpy.mapping.ListDataFrames(mxd)):
    
valueDists = []
for i in range(len(dfs)):
    arcpy.mapping.AddLayer(dfs[i],lyrfile1,"BOTTOM")
    joinValFld = dbffields[i]
    valueDist = {}
    valueDist = dict ([(key, val) for key, val in arcpy.da.SearchCursor(joinFc, [joinIdFld, joinValFld])])
    valueDists.append(valueDist)
currentlayers = []
#update feature class
for i in range(len(valueDists)):
    #currentlayer = arcpy.mapping.ListLayers(dfs[i])[0]
    with arcpy.da.UpdateCursor (shpfile, [updateFld, IdFld]) as cursor:
        valueDist = valueDists[i]
        for update, key in cursor:
            row = (valueDist [key], key)
            print row
            cursor.updateRow (row)
        arcpy.mapping.UpdateLayer(dfs[i], shpfile, currentlayer, True)
    currentlayer = arcpy.mapping.ListLayers(dfs[i])[0]
    currentlayers.append(currentlayer)
mxd.saveACopy('D:\\Project\\CROPWAT\\WRR\\DistrictScaleNew1\\Block_scale\\ArcMap\\AP_APWRIMS1.mxd')

The problem that I am facing is that the code is running without any errors but all five data frames were updated with the last updated shapefile data. Plot is looking like this: enter image description here

But I want five different choropleths. I have already checked the last column of shapefile and it gets updated but it is not showing in ArcMap.

What is wrong?

My Original MXD file looks like this: enter image description here

added 2 characters in body; edited tags; edited title
Source Link
PolyGeo
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  • 345

How to update the Updating layer in corresponding data frame in a single MXD in ArcPy

I have a shapefile and a layer file. In the shapefile, I am updating the last column using a .dbf file, which has numeric values. So, the last column of the shapefile will be updated five times and I have five data frames in one MXD file. So, whenever the shapefile gets updated, it has to go to a new data frame.

Here is my code:

import arcpy
arcpy.env.workspace = 'C:\\Users\\Jaggu\\Documents\\ArcGIS\\Default.gdb'
mxd = arcpy.mapping.MapDocument(r"D:\Project\CROPWAT\WRR\DistrictScaleNew1\Block_scale\ArcMap\IWR2.mxd")
lyrfile = r'D:\Project\CROPWAT\WRR\DistrictScaleNew1\Block_scale\ArcMap\AP_APWRIMS7.lyr'
lyrfile1 = arcpy.mapping.Layer(lyrfile) #Converting to a layer file in the current env

#update field
updateFld = "IWR"
#update fc key field
IdFld = "dtname"

#join feature class
joinFc = r"D:\Project\CROPWAT\WRR\DistrictScaleNew1\Block_scale\ArcMap\IWR.dbf"
#join value field to be transferred
#joinValFld = dbffields[i]
#join key field
joinIdFld = "district"

#create dictionary
#Key: join field
#Value: field with value to be transferred

for index, item in enumerate(arcpy.mapping.ListDataFrames(mxd)):
    
valueDists = []
for i in range(len(dfs)):
    arcpy.mapping.AddLayer(dfs[i],lyrfile1,"BOTTOM")
    joinValFld = dbffields[i]
    valueDist = {}
    valueDist = dict ([(key, val) for key, val in arcpy.da.SearchCursor(joinFc, [joinIdFld, joinValFld])])
    valueDists.append(valueDist)
currentlayers = []
#update feature class
for i in range(len(valueDists)):
    #currentlayer = arcpy.mapping.ListLayers(dfs[i])[0]
    with arcpy.da.UpdateCursor (shpfile, [updateFld, IdFld]) as cursor:
        valueDist = valueDists[i]
        for update, key in cursor:
            row = (valueDist [key], key)
            print row
            cursor.updateRow (row)
        arcpy.mapping.UpdateLayer(dfs[i], shpfile, currentlayer, True)
    currentlayer = arcpy.mapping.ListLayers(dfs[i])[0]
    currentlayers.append(currentlayer)
mxd.saveACopy('D:\\Project\\CROPWAT\\WRR\\DistrictScaleNew1\\Block_scale\\ArcMap\\AP_APWRIMS1.mxd')

The problem that I am facing is that the code is running without any errors but all five data frames were updated with the last updated shapefile data. Plot is looking like this: enter image description here

But I want five different choropleths. I have already checked the last column of shapefile and it gets updated but it is not showing in ArcMap. 

What is wrong?

How to update the layer in corresponding data frame in a single MXD in ArcPy

I have a shapefile and a layer file. In the shapefile, I am updating the last column using a .dbf file, which has numeric values. So, the last column of the shapefile will be updated five times and I have five data frames in one MXD file. So, whenever the shapefile gets updated, it has to go to a new data frame.

Here is my code:

import arcpy
arcpy.env.workspace = 'C:\\Users\\Jaggu\\Documents\\ArcGIS\\Default.gdb'
mxd = arcpy.mapping.MapDocument(r"D:\Project\CROPWAT\WRR\DistrictScaleNew1\Block_scale\ArcMap\IWR2.mxd")
lyrfile = r'D:\Project\CROPWAT\WRR\DistrictScaleNew1\Block_scale\ArcMap\AP_APWRIMS7.lyr'
lyrfile1 = arcpy.mapping.Layer(lyrfile) #Converting to a layer file in the current env

#update field
updateFld = "IWR"
#update fc key field
IdFld = "dtname"

#join feature class
joinFc = r"D:\Project\CROPWAT\WRR\DistrictScaleNew1\Block_scale\ArcMap\IWR.dbf"
#join value field to be transferred
#joinValFld = dbffields[i]
#join key field
joinIdFld = "district"

#create dictionary
#Key: join field
#Value: field with value to be transferred

for index, item in enumerate(arcpy.mapping.ListDataFrames(mxd)):
    
valueDists = []
for i in range(len(dfs)):
    arcpy.mapping.AddLayer(dfs[i],lyrfile1,"BOTTOM")
    joinValFld = dbffields[i]
    valueDist = {}
    valueDist = dict ([(key, val) for key, val in arcpy.da.SearchCursor(joinFc, [joinIdFld, joinValFld])])
    valueDists.append(valueDist)
currentlayers = []
#update feature class
for i in range(len(valueDists)):
    #currentlayer = arcpy.mapping.ListLayers(dfs[i])[0]
    with arcpy.da.UpdateCursor (shpfile, [updateFld, IdFld]) as cursor:
        valueDist = valueDists[i]
        for update, key in cursor:
            row = (valueDist [key], key)
            print row
            cursor.updateRow (row)
        arcpy.mapping.UpdateLayer(dfs[i], shpfile, currentlayer, True)
    currentlayer = arcpy.mapping.ListLayers(dfs[i])[0]
    currentlayers.append(currentlayer)
mxd.saveACopy('D:\\Project\\CROPWAT\\WRR\\DistrictScaleNew1\\Block_scale\\ArcMap\\AP_APWRIMS1.mxd')

The problem that I am facing is that the code is running without any errors but all five data frames were updated with the last updated shapefile data. Plot is looking like this: enter image description here

But I want five different choropleths. I have already checked the last column of shapefile and it gets updated but it is not showing in ArcMap. What is wrong?

Updating layer in corresponding data frame in single MXD in ArcPy

I have a shapefile and a layer file. In the shapefile, I am updating the last column using a .dbf file, which has numeric values. So, the last column of the shapefile will be updated five times and I have five data frames in one MXD file. So, whenever the shapefile gets updated, it has to go to a new data frame.

Here is my code:

import arcpy
arcpy.env.workspace = 'C:\\Users\\Jaggu\\Documents\\ArcGIS\\Default.gdb'
mxd = arcpy.mapping.MapDocument(r"D:\Project\CROPWAT\WRR\DistrictScaleNew1\Block_scale\ArcMap\IWR2.mxd")
lyrfile = r'D:\Project\CROPWAT\WRR\DistrictScaleNew1\Block_scale\ArcMap\AP_APWRIMS7.lyr'
lyrfile1 = arcpy.mapping.Layer(lyrfile) #Converting to a layer file in the current env

#update field
updateFld = "IWR"
#update fc key field
IdFld = "dtname"

#join feature class
joinFc = r"D:\Project\CROPWAT\WRR\DistrictScaleNew1\Block_scale\ArcMap\IWR.dbf"
#join value field to be transferred
#joinValFld = dbffields[i]
#join key field
joinIdFld = "district"

#create dictionary
#Key: join field
#Value: field with value to be transferred

for index, item in enumerate(arcpy.mapping.ListDataFrames(mxd)):
    
valueDists = []
for i in range(len(dfs)):
    arcpy.mapping.AddLayer(dfs[i],lyrfile1,"BOTTOM")
    joinValFld = dbffields[i]
    valueDist = {}
    valueDist = dict ([(key, val) for key, val in arcpy.da.SearchCursor(joinFc, [joinIdFld, joinValFld])])
    valueDists.append(valueDist)
currentlayers = []
#update feature class
for i in range(len(valueDists)):
    #currentlayer = arcpy.mapping.ListLayers(dfs[i])[0]
    with arcpy.da.UpdateCursor (shpfile, [updateFld, IdFld]) as cursor:
        valueDist = valueDists[i]
        for update, key in cursor:
            row = (valueDist [key], key)
            print row
            cursor.updateRow (row)
        arcpy.mapping.UpdateLayer(dfs[i], shpfile, currentlayer, True)
    currentlayer = arcpy.mapping.ListLayers(dfs[i])[0]
    currentlayers.append(currentlayer)
mxd.saveACopy('D:\\Project\\CROPWAT\\WRR\\DistrictScaleNew1\\Block_scale\\ArcMap\\AP_APWRIMS1.mxd')

The problem that I am facing is that the code is running without any errors but all five data frames were updated with the last updated shapefile data. Plot is looking like this: enter image description here

But I want five different choropleths. I have already checked the last column of shapefile and it gets updated but it is not showing in ArcMap. 

What is wrong?

naming
Source Link
Vince
  • 20.3k
  • 16
  • 48
  • 65

I have a shapefile and a layer file. In the shapefile, I am updating the last column using a .dbf file, which has numeric values. So, the last column of the shapefile will be updated five times and I have five data frames in one mxdMXD file. So, whenever the shapefile gets updated, it has to go to a new data frame.

Here is my code:

import arcpy
arcpy.env.workspace = 'C:\\Users\\Jaggu\\Documents\\ArcGIS\\Default.gdb'
mxd = arcpy.mapping.MapDocument(r"D:\Project\CROPWAT\WRR\DistrictScaleNew1\Block_scale\ArcMap\IWR2.mxd")
lyrfile = r'D:\Project\CROPWAT\WRR\DistrictScaleNew1\Block_scale\ArcMap\AP_APWRIMS7.lyr'
lyrfile1 = arcpy.mapping.Layer(lyrfile) #Converting to a layer file in the current env

#update field
updateFld = "IWR"
#update fc key field
IdFld = "dtname"

#join feature class
joinFc = r"D:\Project\CROPWAT\WRR\DistrictScaleNew1\Block_scale\ArcMap\IWR.dbf"
#join value field to be transferred
#joinValFld = dbffields[i]
#join key field
joinIdFld = "district"

#create dictionary
#Key: join field
#Value: field with value to be transferred

for index, item in enumerate(arcpy.mapping.ListDataFrames(mxd)):
    
valueDists = []
for i in range(len(dfs)):
    arcpy.mapping.AddLayer(dfs[i],lyrfile1,"BOTTOM")
    joinValFld = dbffields[i]
    valueDist = {}
    valueDist = dict ([(key, val) for key, val in arcpy.da.SearchCursor(joinFc, [joinIdFld, joinValFld])])
    valueDists.append(valueDist)
currentlayers = []
#update feature class
for i in range(len(valueDists)):
    #currentlayer = arcpy.mapping.ListLayers(dfs[i])[0]
    with arcpy.da.UpdateCursor (shpfile, [updateFld, IdFld]) as cursor:
        valueDist = valueDists[i]
        for update, key in cursor:
            row = (valueDist [key], key)
            print row
            cursor.updateRow (row)
        arcpy.mapping.UpdateLayer(dfs[i], shpfile, currentlayer, True)
    currentlayer = arcpy.mapping.ListLayers(dfs[i])[0]
    currentlayers.append(currentlayer)
mxd.saveACopy('D:\\Project\\CROPWAT\\WRR\\DistrictScaleNew1\\Block_scale\\ArcMap\\AP_APWRIMS1.mxd')

The problem that I am facing is that the code is running without any errors but all five data frames were updated with the last updated shapefile data. Plot is looking like this: enter image description here

But I want five different choropleths. I have already checked the last column of shapefile and it gets updated but it is not showing in ArcMap. What is wrong?

I have a shapefile and a layer file. In the shapefile, I am updating the last column using a .dbf file, which has numeric values. So, the last column of the shapefile will be updated five times and I have five data frames in one mxd file. So, whenever the shapefile gets updated, it has to go to a new data frame.

Here is my code:

import arcpy
arcpy.env.workspace = 'C:\\Users\\Jaggu\\Documents\\ArcGIS\\Default.gdb'
mxd = arcpy.mapping.MapDocument(r"D:\Project\CROPWAT\WRR\DistrictScaleNew1\Block_scale\ArcMap\IWR2.mxd")
lyrfile = r'D:\Project\CROPWAT\WRR\DistrictScaleNew1\Block_scale\ArcMap\AP_APWRIMS7.lyr'
lyrfile1 = arcpy.mapping.Layer(lyrfile) #Converting to a layer file in the current env

#update field
updateFld = "IWR"
#update fc key field
IdFld = "dtname"

#join feature class
joinFc = r"D:\Project\CROPWAT\WRR\DistrictScaleNew1\Block_scale\ArcMap\IWR.dbf"
#join value field to be transferred
#joinValFld = dbffields[i]
#join key field
joinIdFld = "district"

#create dictionary
#Key: join field
#Value: field with value to be transferred

for index, item in enumerate(arcpy.mapping.ListDataFrames(mxd)):
    
valueDists = []
for i in range(len(dfs)):
    arcpy.mapping.AddLayer(dfs[i],lyrfile1,"BOTTOM")
    joinValFld = dbffields[i]
    valueDist = {}
    valueDist = dict ([(key, val) for key, val in arcpy.da.SearchCursor(joinFc, [joinIdFld, joinValFld])])
    valueDists.append(valueDist)
currentlayers = []
#update feature class
for i in range(len(valueDists)):
    #currentlayer = arcpy.mapping.ListLayers(dfs[i])[0]
    with arcpy.da.UpdateCursor (shpfile, [updateFld, IdFld]) as cursor:
        valueDist = valueDists[i]
        for update, key in cursor:
            row = (valueDist [key], key)
            print row
            cursor.updateRow (row)
        arcpy.mapping.UpdateLayer(dfs[i], shpfile, currentlayer, True)
    currentlayer = arcpy.mapping.ListLayers(dfs[i])[0]
    currentlayers.append(currentlayer)
mxd.saveACopy('D:\\Project\\CROPWAT\\WRR\\DistrictScaleNew1\\Block_scale\\ArcMap\\AP_APWRIMS1.mxd')

The problem that I am facing is that the code is running without any errors but all five data frames were updated with the last updated shapefile data. Plot is looking like this: enter image description here

But I want five different choropleths. I have already checked the last column of shapefile and it gets updated but it is not showing in ArcMap. What is wrong?

I have a shapefile and a layer file. In the shapefile, I am updating the last column using a .dbf file, which has numeric values. So, the last column of the shapefile will be updated five times and I have five data frames in one MXD file. So, whenever the shapefile gets updated, it has to go to a new data frame.

Here is my code:

import arcpy
arcpy.env.workspace = 'C:\\Users\\Jaggu\\Documents\\ArcGIS\\Default.gdb'
mxd = arcpy.mapping.MapDocument(r"D:\Project\CROPWAT\WRR\DistrictScaleNew1\Block_scale\ArcMap\IWR2.mxd")
lyrfile = r'D:\Project\CROPWAT\WRR\DistrictScaleNew1\Block_scale\ArcMap\AP_APWRIMS7.lyr'
lyrfile1 = arcpy.mapping.Layer(lyrfile) #Converting to a layer file in the current env

#update field
updateFld = "IWR"
#update fc key field
IdFld = "dtname"

#join feature class
joinFc = r"D:\Project\CROPWAT\WRR\DistrictScaleNew1\Block_scale\ArcMap\IWR.dbf"
#join value field to be transferred
#joinValFld = dbffields[i]
#join key field
joinIdFld = "district"

#create dictionary
#Key: join field
#Value: field with value to be transferred

for index, item in enumerate(arcpy.mapping.ListDataFrames(mxd)):
    
valueDists = []
for i in range(len(dfs)):
    arcpy.mapping.AddLayer(dfs[i],lyrfile1,"BOTTOM")
    joinValFld = dbffields[i]
    valueDist = {}
    valueDist = dict ([(key, val) for key, val in arcpy.da.SearchCursor(joinFc, [joinIdFld, joinValFld])])
    valueDists.append(valueDist)
currentlayers = []
#update feature class
for i in range(len(valueDists)):
    #currentlayer = arcpy.mapping.ListLayers(dfs[i])[0]
    with arcpy.da.UpdateCursor (shpfile, [updateFld, IdFld]) as cursor:
        valueDist = valueDists[i]
        for update, key in cursor:
            row = (valueDist [key], key)
            print row
            cursor.updateRow (row)
        arcpy.mapping.UpdateLayer(dfs[i], shpfile, currentlayer, True)
    currentlayer = arcpy.mapping.ListLayers(dfs[i])[0]
    currentlayers.append(currentlayer)
mxd.saveACopy('D:\\Project\\CROPWAT\\WRR\\DistrictScaleNew1\\Block_scale\\ArcMap\\AP_APWRIMS1.mxd')

The problem that I am facing is that the code is running without any errors but all five data frames were updated with the last updated shapefile data. Plot is looking like this: enter image description here

But I want five different choropleths. I have already checked the last column of shapefile and it gets updated but it is not showing in ArcMap. What is wrong?

naming; title statement; removed chit-chat and helpme
Source Link
Vince
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  • 65
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G.S. J
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