Output

Print to screen

Functions for printing to screen in a nice format.

tabledataextractor.output.print.as_string(table)

Returns table as string for printing.

Parameters:table (numpy.array) – input numpy array Returns:string

tabledataextractor.output.print.list_as_PrettyTable(table_list)

Turns list into PrettyTable object, ready for printing.

Parameters:table_list – list to be printed Returns:table as PrettyTable

tabledataextractor.output.print.print_table(table)

Prints a table to screen.

Parameters:table (numpy.array) – input numpy array for printing

Save to file

Outputs the table to cvs.

tabledataextractor.output.to_csv.write_to_csv(table, file_path)

Writes a numpy array table to a .csv file. Overrides existing files.

Parameters:

• table (ndarray) – Array of table data
• file_path (str) – Output location

Convert to Pandas DataFrame

Outputs the table to a Pandas DataFrame.

tabledataextractor.output.to_pandas.build_category_table(df)

Builds the category table in form of a Python list, from Pandas DataFrame input

Parameters:df (pandas.DataFrame) – Pandas DataFrame input Returns:category_table as Python list

tabledataextractor.output.to_pandas.find_multiindex_level(row_number, column_number, df)

Helping function for _build_category_table(). Finds the Pandas MultiIndex level in a given Pandas DataFrame, for a particular data value.

tabledataextractor.output.to_pandas.print_category_table(df)

Prints the category table to screen, from Pandas DataFrame input

Parameters:df (pandas.DataFrame) – Pandas DataFrame input

tabledataextractor.output.to_pandas.to_pandas(table)

Creates a Pandas DataFrame object from a Table object.

Parameters:table (Table) – Input table Returns:pandas.DataFrame