load_step.py

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# This code loads Single Family Loan Performance data into a pandas frame

# Script used in Step 2 of the Open Risk Academy Course
# https://www.openriskacademy.com/mod/page/view.php?id=745

# Required python packages
import pandas as pd

from config import column_names, column_datatypes

# Input parameters for the data fragment (file segment) we want to work with
# Replace those with your local configuration / desired values

# input_directory = "/insert/your/path/here/"
input_directory = "./PARTS/"

# filename = input_directory + '2010Q2.64.part.csv'
filename = input_directory + '2011Q1.1.part.csv'


# Set up a function to read in a Loan Performance file fragment using pandas

def load_file(input_filename, col_names, datatypes):
    df = pd.read_csv(input_filename,
                     sep="|",
                     names=col_names,
                     dtype=datatypes
                     )
    return df


if __name__ == '__main__':

    # Set up some pandas environment options
    pd.set_option('display.max_columns', 200)
    pd.set_option('display.max_rows', 1000)
    pd.set_option('display.width', 200)
    pd.set_option('mode.chained_assignment', 'raise')

    # Load Loan Performance file
    input_table = load_file(filename, column_names, column_datatypes)

    # Explore the dataset with simple print functions

    # print(input_table['LOAN_ID'].values[:100])
    # print(input_table.iloc[:, 41])
    print(input_table.dtypes)
    # print(input_table['RPRCH_DTE'])