Parsing data to create a json data object with Python

Question

Here is my data from google bigquery to parse:

{
    u\'kind\': u\'bigquery#queryResponse\',
    u\'rows\': [
        {
            u\'f\': [
                        


        

Answer 1

Version 0.28.0 and later of the google-cloud-bigquery library use a Row class to parse rows from a table or query.

For example to print out the results from a query with a schema

[
   {
        u'type': u'STRING',
        u'name': u'word',
        u'mode': u'NULLABLE'
    },
    {
        u'type': u'INTEGER',
        u'name': u'word_count',
        u'mode': u'NULLABLE'
    },
    {
        u'type': u'INTEGER',
        u'name': u'corpus_date',
        u'mode': u'NULLABLE'
    },
]

as in your example, one could do

query = client.query('...')
rows = query.result()
for row in rows:
    # Access by column index.
    print('word: {}'.format(row[0]))
    # Access by column name.
    # The library parses the result into an integer object,
    # based on the schema.
    print('word_count: {}'.format(row['word_count']))
    # Access by column name, like an attribute.
    print('corpus_date: {}'.format(row.corpus_date))

In version 0.29.0 (not yet released as of 2017-12-04), there will be methods for keys(), values(), items(), and get(), just like a built-in dictionary object. (Added in PR #4393) So, to convert rows to a JSON-like dictionary in 0.29.0:

query = client.query('...')
rows = query.result()
for row in rows:
    row_json = dict(row.items())