Reputation: 463
Alright, so I'm working on this ML problem in which I have to predict the probability that a blight ticket would be issued to a person. I tried to set ticket_id
as the dataframe's index but something weird happened and I don't know why.
import pandas as pd
import numpy as np
def blight_model():
train = pd.read_csv('train.csv', encoding = "ISO-8859-1")
test = pd.read_csv('readonly/test.csv', encoding = "ISO-8859-1")
address = pd.read_csv('readonly/addresses.csv', encoding = "ISO-8859-1")
"""X = data.iloc[:,0:33] #independent columns
y = data.iloc[:,-1] #target column i.e price range"""
common_cols_to_drop = ['agency_name', 'inspector_name', 'mailing_address_str_number',
'violator_name', 'violation_street_number', 'violation_street_name',
'mailing_address_str_name', 'admin_fee', 'violation_zip_code',
'state_fee', 'late_fee', 'ticket_issued_date', 'hearing_date', 'violation_description',
'fine_amount', 'clean_up_cost', 'disposition', 'grafitti_status',
'violation_code', 'city']
train_cols_to_drop = ['payment_status', 'payment_date', 'balance_due', 'payment_amount','compliance_detail', 'collection_status'] + common_cols_to_drop
train = train.drop(train_cols_to_drop, axis=1).set_index('ticket_id')
train = train[np.isfinite(train['compliance'])]
return train.head()
The result I'm getting is this? What's with the ticket_id
?
Upvotes: 0
Views: 397
Reputation: 446
It is just displayed in this way so you know that it is an index.
You are getting that because of this (setting it as index):
.set_index('ticket_id')
in this line:
train = train.drop(train_cols_to_drop, axis=1).set_index('ticket_id')
Upvotes: 1