Common Examples

Create a new field

# Create field
data['new_field'] = 'Field value'

# Create field based on another field. If 'email' doesn't exist, use the default value
data['customer_email'] = data.get("email", '')

Delete a field

del data['email']

Merge multiple fields into one

# Using string concatenation (+ operator)
data['fullname'] = data['first_name'] + " " + data['last_name']

# Using formatted string literals (f-strings)
data["fullname"] = f"{data['first_name']} {data['last_name']}"

# Using format() function
data['fullname'] = '{} {}'.format(data['first_name'], data['last_name'])

Rename a field

This code will remove the original email field and insert a new field customer_email with the same value:

data['customer_email'] = data.pop('email')

Check if field exists in parsed data

# If 'name' exists, change its value
if "name" in data:
	data['name'] = 'Peter'

# If 'name' doesn't exists, create field
if "name" not in data:
	data['name'] = 'Peter'
# ...or in one line
data['name'] = data.get('name', 'Peter')

Prevent a document from being exported

If you don't need to export some of the parsed documents (typically, based on a certain condition), simply return None. This will mark the document as "Skipped".

return None

Store parsed data in another variable

You can also create a new dictionary which will replace the original data dictionary.

parsed_data = {
	**data,		# copy all the fields from the 'data' dictinary
	'name': 'Peter',
	'age': 27
return parsed_data    # do not forget to 'return' the dictionary

Round a floating point number

pi = 3.141592653589793
data['pi'] = round(pi, 2) # 3.14


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