pandas-aiohttp 0.1.0

Adds `Series.aiohttp.get_text()` and `Series.aiohttp.get_json()` to pandas Series objects.

pandas aiohttp plugin

Adds the functions Series.aiohttp.get_text() and Series.aiohttp.get_json() to pandas Series objects.

• 1. Usage Notes
• 2. Examples
  • 2.1. Series.aiohttp.get_text()
  • 2.2. Series.aiohttp.get_json()
  • 2.3. Manual Async Runtime

1. Usage Notes

Both get_text() and get_json() support the parameters limit:int=100 and ssl:bool=True which limit concurrent connections and enable or disable SSL verification, respectively. More features may be supported in the future.

2. Examples

The following examples assume that you are running in a Jupyter notebook.

If you are running in a regular python environment, you will need to use the asyncio.run() function to run the code. See the last example.

2.1. Series.aiohttp.get_text()

import pandas as pd
import pandas_aiohttp
# The next line is only needed if you want to prevent your IDE from highlighting as "unused import"
assert pandas_aiohttp

post_urls = pd.Series([
    "https://jsonplaceholder.typicode.com/posts/1",
    "https://jsonplaceholder.typicode.com/posts/2",
])

data = await post_urls.aiohttp.get_text()

0    {\n  "userId": 1,\n  "id": 1,\n  "title": "sun...
1    {\n  "userId": 1,\n  "id": 2,\n  "title": "qui...
dtype: object

2.2. Series.aiohttp.get_json()

A more common usage pattern;

import pandas as pd
import pandas_aiohttp

# create an example data frame:
frame = pd.DataFrame(
    columns=["A", "B"],
    data =[
        ["XY",23],
        ["YZ", 34],
        ["ZX", 45]
    ]
)

# Build a series of urls from the dataframe columns,
# and assign to a new column named "data":
frame["data"] = await (
    "https://httpbin.org/get"
    +"?A="+frame["A"]
    +"&B="+frame["B"].astype(str)
).aiohttp.get_json()

result

0    {'args': {'A': 'XY', 'B': '23'}, 'headers': {'...
1    {'args': {'A': 'YZ', 'B': '34'}, 'headers': {'...
2    {'args': {'A': 'ZX', 'B': '45'}, 'headers': {'...
dtype: object

2.3. Manual Async Runtime

If you are running in a regular python environment, you will need to use the asyncio.run() function to run the code.

import pandas as pd
import pandas_aiohttp
import asyncio

post_urls = pd.Series([
    "https://jsonplaceholder.typicode.com/posts/1",
    "https://jsonplaceholder.typicode.com/posts/2",
])

async def main():
    data = await post_urls.aiohttp.get_text()
    print(data)

asyncio.run(main())