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WIP still, but good progress on option 4
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10 changed files with 420 additions and 107 deletions
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@ -4,37 +4,6 @@ def main():
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#print("aaa")
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csvfile="verified.csv"
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df = pd.read_csv(csvfile)
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#for i in range (df.index.stop):
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# print(i,df.at[i,i])
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#for i in range (df.index.stop):
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# for col in df.columns.values.tolist():
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# print(df.at[i][col])
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#print(df)
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# print("[+] Display 2 columns:")
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#display 2 columns:
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# print(df[['Name', 'URL']])
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# print("[+] Display rows 0 to 5")
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#display rows from 0 to 5
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# print(df[0:5])
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#display rows from 0 to 5
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# print("[+] Display rows 3 to 5 and columns Name and URL")
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# print(df.loc[3:5,['Name','URL']])
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#print(df[0:1,['Name','URL']])
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# print("[+] Display all rows for and columns name and URL")
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#df.loc[startrow:endrow, startcolumn:endcolumn]
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# print(df.loc[0:df.index.stop,['Name','URL']])
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#display rows from 0 to the end of indexes
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# print("[+] Display all rows for all columns")
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# print(df[0:df.index.stop])
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##############################################################################
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print('\n[+] list the entire csv file and get all row IDs')
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@ -83,7 +52,7 @@ def main():
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index=-1
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while (index not in filter_df.index):
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#index=int(input("\n[+] Please select a valid row: "))
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index=int("1")
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index=int("12")
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print("ROW=",index, 'CONTENT=', filter_df.at[index, 'Name'], filter_df.at[index, 'URL'])
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@ -120,15 +89,16 @@ def main():
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print(df)
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#write the dataframe into the csv file
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#read and print the contents of the csv file
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#re-add that row in the csv file
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#remove that row from the dataframe
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print()
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# then select a row in it (by the ID) and display it
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# list
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###########
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# list every word in the blacklist wordlist csv file
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# for each word, check if it matches with any of the rows in unverified.csv
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# if it matches (on any column!), remove that row and write to the csv file
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# list every word in the sensitive wordlist csv file
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# if it matches (on any column!), mark the sensitive column as V
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if __name__ == '__main__':
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main()
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