Fin.Tra

Make sure that Python 3.x.y or greater is installed on your machine

External Python Modules required: pandas

matplotlib

List of commands used in FinTra Note: FinTra commands are case-sensitive, be careful while typing any commands.

WARNING: month and category should be capitalised as shown in the example below and separation from spaces and colon is required. table_name : Month : Category = amount Usage: entering the value Example: income : Apr : Sales = 101 table_name : Month : Category + amount Usage: editing the value by adding Example: income : Apr : Sales + 101 table_name : Month : Category - amount Usage: editing the value by subtracting Example: income : Apr : Sales - 101 table_name : Month : Category * amount Usage: editing the value by multiplying Example: income : Apr : Sales * 101 table_name : Month : Category / amount Usage: editing the value by dividing Example: income : Apr : Sales / 101 WARNING: use the editing commands only if there is some value existing in a given month and category, do not use it on NaN.

inbar Check the bar charts of categories under Income Table exbar Check the bar charts of categories under Expense Table

help Shows this help show Shows the Income and Expense Tables save Saves the data exit Saves the data and exits FinTra