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pandas restricting csv read to certain rows
Dear Pandas Experts,

I am tryig to extract data from a .csv file that contains columns called CarId, IssueDate

import pandas as pd
    train = pd.read_csv('train.csv', index_col=False, encoding="ISO-8859-1")
The issue date is of format "mm/dd/yyyy".
I want to get only those rows that have a year between 2012 and 2016.

Can someone help with that? I have no idea how to make this efficient i.e
maybe filtering before all the data is extracted.
You should look here:

import pandas as pd

df = pd.read_csv('dates.csv', delimiter=';', parse_dates=['date'])
mask =(df['date'] > pd.Timestamp(2012,1,1)) & (df['date'] < pd.Timestamp(2016,1,1))
My code examples are always for Python 3.x.
All humans together. We don't need politicians!
Hi Dead_Eye,

Many thanks for your reply.
I tried what you suggested but even though there are years in range, nothing gets extracted.

    mask =(pd.DatetimeIndex(train_df['ticket_issued_date']).year > 2012) & (pd.DatetimeIndex(train_df['ticket_issued_date']).year < 2016)
    print(train_df[mask]) # is empty

    train_df['yearcolumn'] = pd.DatetimeIndex(train_df['ticket_issued_date']).year
    #output [2004 2005 2006 2007 1938 1963 1988 2008 2009 2010 2011]


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