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I'm working on a dataset that is readily available as a pandas dataframe object. Now, I would like to import this data as a layer in QGIS. I didn't find any helpful library or code to do so. So, I resorted to converting the dataframe to a csv file and then importing this as a layer using PyQGIS api.

Is there any way I can import the dataframe directly, without having to write it to a shapefile or a csv file?

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  • Do you have geometries in the dataframe or is it only a table?
    – Bera
    Commented Jul 5, 2018 at 5:16
  • It is only a table.
    – Yashdeep Singh Dahiya
    Commented Jul 5, 2018 at 5:22
  • Can you show us what your dataframe looks like? You can probably use memory layer. Just convert each line of your dataframe to feature.
    – YoLecomte
    Commented Jan 6, 2019 at 15:54
  • If you use pandas inside QGIS you can write to a QGSVectorLayer stored in memory
    – Bera
    Commented Sep 8, 2019 at 8:17

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Dataframe is in-memory object that lives inside your Jupyter Notebook (or other development tool) and QGIS reads from file. There is no simple way to move objects between different processes.

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