create_dec_tree.py

import pandas as pd
from sklearn import tree,model_selection
df = pd.read_csv('path/to/csv')

target = df["target_column_name"].values
feature_names = ['columns','with','which','decision','is','to','be','made']

features = df[feature_names].values

visual_tree = tree.DecisionTreeClassifier(random_state=1
                                          ,max_depth=10,
                                          min_samples_split=2)

visual_tree_=visual_tree.fit(features,target)
tree.export_graphviz(visual_tree_,feature_names = feature_names,out_file='tree.dot')
#convert this dot file to png using  [dot -Tpng tree.dot -o new_tree.png]