Transforming dataframe into feature attribute table in Processing plugin using PyQGIS

Question

I am trying to develop a processing plugin using "Create New Script from Template".

In this plugin I have created a pandas dataframe. Assuming the df looks like this:

C1	C2
0.25	0.84
0.36	0.4

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Can I transform this df into features' attribute table?

Can I export this attribute table as a layer?

• Annie S.: Yes it's a pandas daaframe. I want this specific one to be transformed into features. C1&C2 will be my headers in the attribute table and 0.25,0.84 will be feature 1 and 0.36,0.4 will be feature 2.
• Annie S.: my dataframe consists of double numbers and my header which are string values

Answer 1

This should work for your specific case:

import pandas as pd
flist=['C1','C2']
df = pd.DataFrame.from_records(data = [(0.25,0.84),(0.36,0.4)], columns=flist)
vl = QgsVectorLayer("None", "temporary_table", "memory") #Adjust this line if you dont want a temp table
pr = vl.dataProvider()
vl.startEditing()
fieldlist = [QgsField(fieldname, QVariant.Double) for fieldname in flist]
pr.addAttributes(fieldlist)
vl.updateFields()
for i in df.index.to_list():
 fet = QgsFeature()
 newrow = df[flist].iloc[i].tolist()
 fet.setAttributes(newrow)
 pr.addFeatures([ fet ])
vl.commitChanges()
QgsProject.instance().addMapLayer(vl)

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