Clean up excel data

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Revision as of 16:21, 1 September 2020 by Bacchas (talk | contribs)
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import pandas as pd
excel_file = 'docs/baddata.xlsx'
df = pd.read_excel(excel_file)
#print(df.head(2))

#test on one column
#df['Name'] = df['Name'].str.replace(r'\W',"")
# r means regular expression \w (opposite of w) selects everything that is not a number and not a letter, replace with blank
#apply to entire sheet
for column in df.columns:
    df[column] = df[column].str.replace(r'\W',"")
print(df)
df.to_excel("docs/cleaned.xlsx")

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