FOLLWOING IS MY CODE
import pandas as pd
import csv
from sklearn.preprocessing import LabelEncoder
from sklearn.feature_selection import chi2
with open("D:\PHD\obranking\\test_chi.csv", 'w') as csvfilew1:
fields = ['index', 'feature name', 'p_value']
csvwriter1 = csv.DictWriter(csvfilew1, fieldnames=fields)
csvwriter1.writeheader()
for i in range(1, 5502):
csv_data = dict().fromkeys(fields)
csv_data['index'] = i
cols =[]
cols.append(int(0))
cols.append(int(i))
df = pd.read_csv("D:\PHD\obranking\\demo.csv", usecols=cols)
df.apply(LabelEncoder().fit_transform)
X = df.drop(labels='label', axis=1)
Y = df['label']
chi_scores = chi2(X, Y)
if(chi_scores[1] < 0.05):
f_name = str(X.columns)
f_name = f_name[8:-19]
csv_data['feature name'] = f_name
p_val = str(chi_scores[1])
p_val = p_val[1:-1]
csv_data['p_value'] = p_val
print(csv_data)
csvwriter1.writerow(csv_data)
#print(csv_data)
#print(f_name + p_val)
#print(str(X.col + str(chi_scores[1]))
test_chi.csv is created but it remains empty after execution of the code.
although when i am printing csv_data it gets printed but not written in csv
using writerow(csv_data). Also there are no field names in the csv even
writeheader() seems to not work. I am confused what is wrong. Could someone
help????
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