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Python Pandas read csv file compressed with gzip and load into Pandas dataframe
By Guest on 30th October 2022 08:28:09 PM | Syntax: PYTHON | Views: 233


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  1. import pandas as pd
  2.  
  3. df = pd.read_csv('TownshipData.csv.gz', compression='gzip', header=0, sep=' ', quotechar='"', error_bad_lines=False)
  4. df.head(5)
  5.  
  6. >>>     GOVSid,FIPSid,Year4,State_Code,Type_Code,County,Name,FIPS_Code_State,...
  7. 073001001,00093001124045,1972,7,3,1,BETHEL      TOWN,09,001,04720,09001,630,,,10945,,,5645,450...
  8. 073001001,00093001124045,1974,7,3,1,BETHEL      TOWN,09,001,04720,09001,630,,,12285,,,5927,473...
  9.  
  10. #open regular csv file
  11. df = pd.read_csv('/content/TownshipData.csv')
  12. df.head(5)
  13.  
  14. >>>GOVSid       FIPSid  Year4   State_Code      Type_Code       County  Name    FIPS_Code_State ...
  15. 0       73001001        9.300112e+10    1972    7       3       1       BETHEL TOWN     9       1       4720.0  ...     0       0       0       0       0       0       303     0       0       303
  16. 1       73001001        9.300112e+10    1974    7       3       1       BETHEL TOWN     9       1       4720.0  ...     0       0       0       0       0       0       303     0       0       303
















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