CLEVERCSV-CODE(1)              Clevercsv Manual              CLEVERCSV-CODE(1)

NAME
       clevercsv-code - Generate Python code to import a CSV file

SYNOPSIS
       clevercsv code [-e ENCODING | --encoding=ENCODING]
                      [-n NUM_CHARS | --num-chars=NUM_CHARS] [-p | --pandas] <path>


DESCRIPTION
       Generate Python code for importing a given CSV file. This is especially
       useful if you don't want to repeatedly detect the dialect of the same
       file. Simply run:

           clevercsv code your_csv_file.csv

       and copy the generated code to a Python script.

OPTIONS


       -h, --help
           show this help message and exit

       -e, --encoding
           The file encoding of the given CSV file is automatically detected
           using chardet. While chardet is incredibly accurate, it is not
           perfect. In the rare cases that it makes a mistake in detecting the
           file encoding, you can override the encoding by providing it
           through this flag. Moreover, when you have a number of CSV files
           with a known file encoding, you can use this option to speed up the
           code generation process.

       -n, --num-chars
           On large CSV files, dialect detection can sometimes be a bit slow
           due to the large number of possible dialects to consider. To
           alleviate this, you can limit the number of characters to use for
           detection.

           One aspect to keep in mind is that CleverCSV may need to read a
           specific number of characters to be able to correctly infer the
           dialect. For example, in the ``imdb.csv`` file in the GitHub
           repository, the correct dialect can only be found after at least 66
           lines of the file are read. Therefore, if there is availability to
           run CleverCSV on the entire file, that is generally recommended.

       -p, --pandas
           By default, this command writes a small Python script to import the
           CSV file as a list of lists. By enabling this option the script
           will be written such that the file will be read as a Pandas
           DataFrame instead.

       <path>
           Path to the CSV file

CLEVERCSV
       Part of the CleverCSV suite

Clevercsv 0.8.2                   2023-09-24                 CLEVERCSV-CODE(1)