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Python - TypeError: Object of type 'int64' is not JSON serializable

I have a data frame that stores store name and daily sales count. I am trying to insert this to Salesforce using the Python script below.

However, I get the following error:

TypeError: Object of type 'int64' is not JSON serializable

Below, there is the view of the data frame.

Storename,Count
Store A,10
Store B,12
Store C,5

I use the following code to insert it to Salesforce.

update_list = []
for i in range(len(store)):
    update_data = {
        'name': store['entity_name'].iloc[i],
        'count__c': store['count'].iloc[i] 
    }
    update_list.append(update_data)

sf_data_cursor = sf_datapull.salesforce_login()
sf_data_cursor.bulk.Account.update(update_list)

I get the error when the last line above gets executed.

How do I fix this?

over 4 years ago · Santiago Trujillo
3 answers
Answer question

0

json does not recognize NumPy data types. Convert the number to a Python int before serializing the object:

'count__c': int(store['count'].iloc[i])
over 4 years ago · Santiago Trujillo Report

0

You can define your own encoder to solve this problem.

import json
import numpy as np

class NpEncoder(json.JSONEncoder):
    def default(self, obj):
        if isinstance(obj, np.integer):
            return int(obj)
        if isinstance(obj, np.floating):
            return float(obj)
        if isinstance(obj, np.ndarray):
            return obj.tolist()
        return super(NpEncoder, self).default(obj)

# Your codes .... 
json.dumps(data, cls=NpEncoder)
over 4 years ago · Santiago Trujillo Report

0

I'll throw in my answer to the ring as a bit more stable version of @Jie Yang's excellent solution.

My solution

numpyencoder and its repository.

from numpyencoder import NumpyEncoder

numpy_data = np.array([0, 1, 2, 3])

with open(json_file, 'w') as file:
    json.dump(numpy_data, file, indent=4, sort_keys=True,
              separators=(', ', ': '), ensure_ascii=False,
              cls=NumpyEncoder)

The breakdown

If you dig into hmallen's code in the numpyencoder/numpyencoder.py file you'll see that it's very similar to @Jie Yang's answer:


class NumpyEncoder(json.JSONEncoder):
    """ Custom encoder for numpy data types """
    def default(self, obj):
        if isinstance(obj, (np.int_, np.intc, np.intp, np.int8,
                            np.int16, np.int32, np.int64, np.uint8,
                            np.uint16, np.uint32, np.uint64)):

            return int(obj)

        elif isinstance(obj, (np.float_, np.float16, np.float32, np.float64)):
            return float(obj)

        elif isinstance(obj, (np.complex_, np.complex64, np.complex128)):
            return {'real': obj.real, 'imag': obj.imag}

        elif isinstance(obj, (np.ndarray,)):
            return obj.tolist()

        elif isinstance(obj, (np.bool_)):
            return bool(obj)

        elif isinstance(obj, (np.void)): 
            return None

        return json.JSONEncoder.default(self, obj)
over 4 years ago · Santiago Trujillo Report
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