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Refactored to return dataframes instead of writing

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LinlyBoi
2023-03-28 12:36:14 +02:00
parent 77a915abe2
commit 31fd1a9443
1 changed files with 8 additions and 5 deletions
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13
py_scripts/digger.py
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@@ -10,13 +10,16 @@ global games_merged_dat
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")
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, output_df, column, expression=" "):
def slice_column(input_df, column, expression=" "):
unclean = input_df[column].to_list()
clean = list()
for record in unclean:
@@ -25,9 +28,9 @@ def slice_column(input_df, output_df, column, expression=" "):
input_df = input_df.drop(columns=[column])
input_df[column] = clean
input_df.to_csv(output_df)
return input_df
def write_joined_df(left, right, output_file, lsuf="new_key"):
def write_joined_df(left, right, lsuf="new_key"):
merged = left.join(right, lsuffix=lsuf)
merged.to_csv(output_file)
return merged