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python requests post numpy array

Narkw Brahma

Narkw Brahma

• 1 min read

Python Requests Post Numpy Array

If you are working with data in Python, you might be familiar with the numpy library, which is used for scientific and numerical computations. Now, if you want to send a numpy array as a payload in a POST request using the requests library, you can do it by converting the array into a JSON object first.

Convert Numpy Array to JSON

In order to convert a numpy array to a JSON object, you can use the json library that comes with Python. Here is an example:


import numpy as np
import json

arr = np.array([1, 2, 3])
payload = json.dumps({"data": arr.tolist()})

In the above code, we first create a numpy array arr and then convert it to a list using the tolist() method. We then create a JSON object with a key "data" and value set to the converted list.

Sending a POST Request with Requests Library

Now that we have the payload ready, we can use the requests library to send a POST request with it. Here is an example:


import requests

url = "https://example.com/api"
headers = {"Content-Type": "application/json"}
data = {"payload": payload}

response = requests.post(url, headers=headers, json=data)

In the above code, we first define the URL of the API endpoint we want to send the request to. We then set the headers to specify that we are sending JSON data. Finally, we create a dictionary with a key "payload" and value set to the JSON object we created earlier. We then pass this dictionary to the json parameter of the requests.post() method.

Conclusion

In summary, if you want to send a numpy array as a payload in a POST request using the requests library, you can convert the array to a JSON object first and then send the request with headers specifying that you are sending JSON data. This is just one way to do it, and there might be other ways depending on your specific use case.

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