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