[pandas] extract rows using np.r_()

import pandas as pd
import dask.dataframe as dd
import numpy as np
import os
from sklearn.datasets import make_classification

df = make_classification(n_samples = 2000, n_features = 10)
df_raw = pd.DataFrame(df[0], columns = ['var1', 'var2', 'var3', 'var4', 'var5', 'var6', 'var7', 'var8', 'var9', 'var10'])
df_raw['class'] = df[1]

cmd = '2, 3, 5:10, 100:104'
cmd = str('np.r_[') + cmd + str(']')
df_raw.iloc[eval(cmd),:]