直接从 Pandas 数据框 (pandas_to.csv) 发布 csv 文件

Question

I'm looking for a way to post a csv file directly from a pandas data frame without the need of saving it in a local file, and then posting it.

In my case, the URL is a service listening to my request that requires a scv

Is there a way to have a url as an argument into a df.to_csv(url) that will post it directly?

I tried the following: (got bad response )

import requests
agg_data=pd.read_csv('some_csv.csv')
r = requests.post('http://crystal-ball-some_url', data ={'agg_data':agg_data.to_csv()})
print (r)
<Response [400]>

Answer 1

@Anton vBR thanks!

This turned out to work:

slider_output = agg_data.to_csv()
        files = {'file': ('agg_data.csv', slider_output)}
        requests.post('some_url', files=files)

Answer 2

Thanks @AntonvBR. Below code worked for me with python 3.7.3

import requests
files = {('files', ('aug_template.csv', aug_annotation_df.to_csv()))}
response = requests.post(url=UPLOAD_URL, params=params, files=files, data=body)