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import os
import pandas as pd
ORIGINAL_FILE_PATH = os.path.realpath(os.path.join(os.path.dirname(__file__), "../originals/AmesHousing.txt"))
PROCESSED_FILE_PATH = os.path.realpath(os.path.join(os.path.dirname(__file__), "../AmesHousing.csv"))
def main():
print(f"Preprocessing [{ORIGINAL_FILE_PATH}]...")
df = pd.read_csv(ORIGINAL_FILE_PATH, sep="\t")
print(f"[{df.shape[0]}] rows loaded over [{df.shape[1]}] columns")
# Sanitizing the column names
df.columns = df.columns.str.lower().str.replace(" ", "_").str.replace("/", "_").str.replace(".", "")
# Set the index
df = df.set_index("order")
pd.DataFrame.to_csv(df, PROCESSED_FILE_PATH)
print(f"Processed filed saved to [{PROCESSED_FILE_PATH}]...")
if __name__ == "__main__":
main()
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