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Use the Delimited Text Data Source type to point to your CSV file, choose whether or not to have headers, choose the columns for X/Y/Z/M data, and then finally your CRS.
Make use of the Sample Data box to ensure you have the settings correct.
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I think you can do that just with the great internal tool from QGIS3 and without any knowledge of python. All within the graphical interface. You can access to the importing format (extension) by clicking in the '...' in the output element. Here you have the complete video with the process (I can't even upload here the complete gif...).
Here are some ...
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Tested on QGIS 2.18 and QGIS 3.4
Let's assume there is a .csv-file "data" with its attributes accordingly, see image below.
Simply drag&drop it into QGIS, so it can appear in the 'Layers Panel', like this
Then proceed with a "Virtual Layer" through Layer > Add Layer > Add/Edit Virtual Layer...
With the following Query, it is possible to plot ...
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Create a column in your csv file named WKT
For each row, populate the column with: Point (longitude, latitude)
Save file
Add the data to QGIS project by using: Layer > Add Layer > Add Delimited Text Layer...
Set the Geometry Definition to Well Known Text and select WKT as the Geometry field and you should be good to go.
*Note: You must select an ...
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