Chilkat2-Python
Chilkat2-Python
JSON Paths
See more JSON Examples
Demonstrates using "Chilkat JSON Paths" to access parts of a JSON document, or to iterate over parts.This example uses the following JSON document:
{
"nestedArray" : [
[
[1,2,3],
[4,5,6],
[7,8,9,10]
],
[
[11,12,13],
[14,15,16],
[17,18,19,20]
],
[
[21,22,23],
[24,25,26],
[27,28,29,30],
[31,32,33,34,35,36]
]
],
"nestedObject" : {
"aaa" : {
"bb1" : {
"cc1" : "c1Value",
"cc2" : "c2Value",
"cc3" : "c3Value"
},
"bb2" : {
"dd1" : "d1Value",
"dd2" : "d2Value",
"dd3" : "d3Value"
}
}
},
"mixture" : {
"arrayA" : [
{ "fruit": "apple", "animal": "horse", "job": "fireman", "colors": ["red","blue","green"] },
{ "fruit": "pear", "animal": "plankton", "job": "waiter", "colors": ["yellow","orange","purple"] },
{ "fruit": "kiwi", "animal": "echidna", "job": "astronaut", "colors": ["magenta","tan","pink"] }
]
},
"name.with.dots" : { "grain" : "oats" }
}
Chilkat Chilkat2-Python Downloads
import sys
import chilkat2
success = False
json = chilkat2.JsonObject()
json.EmitCompact = False
# Assume the file contains the data as shown above..
success = json.LoadFile("qa_data/json/pathSample.json")
if (success == False):
print(json.LastErrorText)
sys.exit()
# First, let's get the value of "cc1"
# The path to this value is: nestedObject.aaa.bb1.cc1
print(json.StringOf("nestedObject.aaa.bb1.cc1"))
# Now let's get number 18 from the nestedArray.
# It is located at nestedArray[1][2][1]
# (remember: Indexing is 0-based)
print("This should be 18: " + str(json.IntOf("nestedArray[1][2][1]")))
# We can do the same thing in a more roundabout way using the
# I, J, and K properties. (The I,J,K properties will be convenient
# for iterating over arrays, as we'll see later.)
json.I = 1
json.J = 2
json.K = 1
print("This should be 18: " + str(json.IntOf("nestedArray[i][j][k]")))
# Let's iterate over the array containing the numbers 17, 18, 19, 20.
# First, use the SizeOfArray method to get the array size:
sz = json.SizeOfArray("nestedArray[1][2]")
# The size should be 4.
print("size of array = " + str(sz) + " (should equal 4)")
# Now iterate...
for i in range(0,sz):
json.I = i
print(str(json.IntOf("nestedArray[1][2][i]")))
# Let's use a triple-nested loop to iterate over the nestedArray:
# szI should equal 1.
szI = json.SizeOfArray("nestedArray")
for i in range(0,szI):
json.I = i
szJ = json.SizeOfArray("nestedArray[i]")
for j in range(0,szJ):
json.J = j
szK = json.SizeOfArray("nestedArray[i][j]")
for k in range(0,szK):
json.K = k
print(str(json.IntOf("nestedArray[i][j][k]")))
# Now let's examine how to navigate to JSON objects contained within JSON arrays.
# This line of code gets the value "kiwi" contained within "mixture"
print(json.StringOf("mixture.arrayA[2].fruit"))
# This line of code gets the color "yellow"
print(json.StringOf("mixture.arrayA[1].colors[0]"))
# Getting an object at a path:
# This gets the 2nd object in "arrayA"
obj2 = chilkat2.JsonObject()
json.ObjectOf2("mixture.arrayA[1]",obj2)
# This object's "animal" should be "plankton"
print(obj2.StringOf("animal"))
# Note that paths are relative to the object, not the absolute root of the JSON document.
# Starting from obj2, "purple" is at "colors[2]"
print(obj2.StringOf("colors[2]"))
# Getting an array at a path:
# This gets the array containing the colors red, green, blue:
arr1 = chilkat2.JsonArray()
json.ArrayOf2("mixture.arrayA[0].colors",arr1)
szArr1 = arr1.Size
for i in range(0,szArr1):
print(str(i) + ": " + arr1.StringAt(i))
# The Chilkat JSON path uses ".", "[", and "]" chars for separators. When a name
# contains one of these chars, use double-quotes in the path:
print(json.StringOf("\"name.with.dots\".grain"))