Converting Pandas DataFrame to Orange Table

Question

I notice that this is an issue on GitHub already. Does anyone have any code that converts a Pandas DataFrame to an Orange Table?

Explicitly, I have the following tab

Answer 1

This code is revised from @TurtleIzzy for Python3.

import numpy as np
from Orange.data import Table, Domain, ContinuousVariable, DiscreteVariable


def series2descriptor(d):
    if d.dtype is np.dtype("float") or d.dtype is np.dtype("int"):
        return ContinuousVariable(str(d.name))
    else:
        t = d.unique()
        t.sort()
        return DiscreteVariable(str(d.name), list(t.astype("str")))

def df2domain(df):
    featurelist = [series2descriptor(df.iloc[:,col]) for col in range(len(df.columns))]
    return Domain(featurelist)

def df2table(df):
    tdomain = df2domain(df)
    ttables = [series2table(df.iloc[:,i], tdomain[i]) for i in range(len(df.columns))]
    ttables = np.array(ttables).reshape((len(df.columns),-1)).transpose()
    return Table(tdomain , ttables)

def series2table(series, variable):
    if series.dtype is np.dtype("int") or series.dtype is np.dtype("float"):
        series = series.values[:, np.newaxis]
        return Table(series)
    else:
        series = series.astype('category').cat.codes.reshape((-1,1))
        return Table(series)