Files
Mining-Away/py_scripts/digger.py

37 lines
917 B
Python

# Getting and combining data
import pandas as pd
import numpy as np
global games_merged_dat
# reading the data
# -> MAKE SURE OF THE DATA FRAMES NAMES PEFORE YOU RUN IT
games_dat = pd.read_csv("Games.xls")
games_sales_dat = pd.read_csv("vgsales-12-4-2019-short.csv")
games_merged_dat = games_dat.merge(
games_sales_dat, left_on="Name", right_on="Name", how="left"
)
print(games_merged_dat)
games_merged_dat.to_csv("output_final_df.csv")
# Defining useful Functions to be used later
def slice_column(input_df, column, expression=" "):
unclean = input_df[column].to_list()
clean = list()
for record in unclean:
record = record.split(expression)[0]
clean.append(record)
input_df = input_df.drop(columns=[column])
input_df[column] = clean
return input_df
def write_joined_df(left, right, lsuf="new_key"):
merged = left.join(right, lsuffix=lsuf)
return merged