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I recently added graphql support in vaex (another dataframe library), and just added support for pandas as well: vaexio/vaex#446
However, this is only available after importing vaex.graphql, e.g.:
In vaex, I use a plugin system using the entry point system, e.g:
entry_points={
'vaex.dataframe.accessor': ['graphql = vaex.graphql:DataFrameAccessorGraphQL'],
},
Is this maybe something pandas can do as well? That would mean that simply installing vaex.graphql would enable this.
Note: in vaex I lazily import the modules, so if df.graphql never gets accessed, vaex.graphql will never be imported.
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[-]GraphQL support / accessor plugin system for [/-][+]GraphQL support / accessor plugin system[/+]jbrockmendel commentedon Oct 28, 2019
@datapythonista would this fit into the plugin idea you mentioned elsewhere?
datapythonista commentedon Oct 28, 2019
That looks interesting. I don't know much about graphql, and the plugin system I proposed so far is for IO, but I think would be good to have this in pandas.
But the way it's implemented it should be as easy as decorating that function or class to make it a DataFrame accessor I think. That would solve the immediate problem.
And using entry points to extend pandas is surely something we can consider. I'm in my phone, and travelling, so won't be able to have a look in the next few days probably, but if you want to create an issue for that with more details on what you implemented that would be great.
And if you have ideas on how to make extensions compatible both with pandas and vaex, even better.
afonso-antunes commentedon May 2, 2025
take
PedroM4rques commentedon May 7, 2025
take
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