Package mytable-lucien

A simple package for processing data in the form of a table.

Pay attention, all indexes start from 0 instead of 1.

To install:

pip install mytable-lucien

To import:

import mytable_lucien

Module mycsv

This is a simple reader and writer for CSV files by Lucien Shaw. It consumes less resource and processes more quickly than the current csv module, though a lot less functional.

It reads CSV files as plain texts and stores the table in a list, whose elements are lists of cells of the current row. The list is the value to the key 'full' of a dict, which is the returned value of the function.

Here is the guidance.

Import

from mytable_lucien import mycsv

Function read()

This reads a CSV file and store the table in a list.

• Usage

  res = mycsv.read(filename, delimiter=',')
  

• Arguments
  • filename
    A string value. The filename of the CSV file.
  • delimiter
    A char value. Comma by default. The character which is used to delimit the columns.
• Returned value
  List of rows. Each row is a list of columns, aka. cells, which contains strings.

Function write()

This creates a CSV file.

• Usage

  mycsv.write(filename, table, delimiter=',')
  

• Arguments
  • filename
    A string value. The filename of the CSV file to be written.
  • table
    A list, the structure of which is the same as the value to the key 'full' of the returned dict of function read().
    All values should be strings.
  • delimiter
    A char value. Comma by default. The character which is used to delimit the columns.
• Returned value
  There are no returned values.

Module mytools

Useful tools. Simple, yet powerful.

Import

from mytable_lucien import mytools

Function excel_ctn()

All functions of this package use numbers as indexes, but Excel uses alphabets as indications of the columns, such as 'A' for column 0 (We count from 0, remember?), 'Z' for column 25, and 'AA' for column 26.

This converts the alphabetical column Characters To pure Numbers.

• Usage

  res = mytools.excel_ctn(col)
  

• Arguments
  • col
    Alphabetical column characters, such as 'A' or 'AA', etc.
• Returned value
  A number, as mentioned above.

Module myview

This provides a better view of the tables.

Import

from mytable_lucien import myview

Function select_range()

In some circumstances, there are so many columns that they cannot be fully displayed in excel, and columns that exceed the limit cannot be visualized.

This allows you to select some columns and rows so that you can extract them to a new temporary CSV file and view them with your favorite table viewer, like Excel.

• Usage

  table_select = myview.select_range(table, columns=[], rows=[])
  

• Arguments
  • table
    An original table in the form of a list.
  • columns
    A list of column numbers that indicate the columns you would like to see. The default value is an empty list, which selects all columns.
  • rows
    A list of row numbers that indicate the rows you would like to see. The default value is an empty list, which selects all rows.
• Returned value
  A table which contains the selected range.

Module myedit

Edit the table the easy way.

Import

from mytable_lucien import myedit

Function combine_rows()

This combines rows of multiple tables with the same total number of columns.

• Usage

  comb = myedit.combine_rows(tables)
  

• Arguments
  • tables
    A list which contains multiple tables.
• Returned value
  The combined table.

Function combine_columns()

This combines columns of multiple tables with the same total number of rows.

• Usage

  comb = myedit.combine_columns(tables)
  

• Arguments
  • tables
    A list which contains multiple tables.
• Returned value
  The combined table.