Excel Calculator

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xlcalculator is a Python library that reads MS Excel files and, to the extent of supported functions, can translate the Excel functions into Python code and subsequently evaluate the generated Python code. Essentially doing the Excel calculations without the need for Excel.

xlcalculator is a modernization of the koala2 library.

xlcalculator currently supports:

  • Loading an Excel file into a Python compatible state

  • Saving Python compatible state

  • Loading Python compatible state

  • Ignore worksheets

  • Extracting sub-portions of a model. “focussing” on provided cell addresses or defined names

  • Evaluating

    • Individual cells

    • Defined Names (a “named cell” or range)

    • Ranges

    • Shared formulas not an Array Formula

      • Operands (+, -, /, *, ==, <>, <=, >=)
      • on cells only
    • Set cell value

    • Get cell value

    • Parsing a dict into the Model object

      • Code is in examples\third_party_datastructure
    • Functions are at the bottom of this README

      • LN
        • Python Math.log() differs from Excel LN. Currently returning Math.log()
      • VLOOKUP – Exact match only
      • YEARFRAC – Basis 1, Actual/actual, is only within 3 decimal places

Not currently supported:

Run tests

Setup your environment:

virtualenv -p 3.7 ve
ve/bin/pip install -e .[test]

From the root xlcalculator directory:

ve/bin/py.test -rw -s --tb=native

Or simply use tox:

tox

Run Example

From the examples/common_use_case directory:

python use_case_01.py

Adding/Registering Excel Functions

Excel function support can be easily added.

Fundamental function support is found in the xlfunctions directory. The functions are thematically organised in modules.

Excel functions can be added by any code using the xlfunctions.xl.register() decorator. Here is a simple example:

from xlcalculator.xlfunctions import xl

@xl.register()
@xl.validate_args
def ADDONE(num: xl.Number):
    return num + 1

The @xl.validate_args decorator will ensure that the annotated arguments are converted and validated. For example, even if you pass in a string, it is converted to a number (in typical Excel fashion):

>>> ADDONE(1):
2
>>> ADDONE('1'):
2

If you would like to contribute functions, please create a pull request. All new functions should be accompanied by sufficient tests to cover the functionality. Tests need to be written for both the Python implementation of the function (tests/xlfunctions) and a comparison with Excel (tests/xlfunctions_vs_excel).

Excel number precision

Excel number precision is a complex discussion.

It has been discussed in a Wikipedia page.

The fundamentals come down to floating point numbers and a contention between how they are represented in memory Vs how they are stored on disk Vs how they are presented on screen. A Microsoft article explains the contention.

This project is attempting to take care while reading numbers from the Excel file to try and remove a variety of representation errors.

Further work will be required to keep numbers in-line with Excel throughout different transformations.

From what I can determine this requires a low-level implementation of a numeric datatype (C or C++, Cython??) to replicate its behaviour. Python built-in numeric types don’t replicate behaviours appropriately.

Unit testing Excel formulas directly from the workbook.

If you are interested in unit testing formulas in your workbook, you can use FlyingKoala. An example on how can be found here.

TODO

  • Do not treat ranges as a granular AST node it instead as an operation “:” of two cell references to create the range. That will make implementing features like A1:OFFSET(...) easy to implement.

  • Support for alternative range evaluation: by ref (pointer), by expr (lazy eval) and current eval mode.

    • Pointers would allow easy implementations of functions like OFFSET().
    • Lazy evals will allow efficient implementation of IF() since execution of true and false expressions can be delayed until it is decided which expression is needed.
  • Implement array functions. It is really not that hard once a proper RangeData class has been implemented on which one can easily act with scalar functions.

  • Improve testing

  • Refactor model and evaluator to use pass-by-object-reference for values of cells which then get “used”/referenced by ranges, defined names and formulas

  • Handle multi-file addresses

  • Improve integration with pyopenxl for reading and writing files example of problem space

Supported Functions

Compatibility

Function xlcalculator PyCel formulas Koala
FLOOR
 

Date and Time

Function xlcalculator PyCel formulas Koala
DATE
DATEDIF
     
DATEVALUE  
 
DAY
 
DAYS
     
EDATE
   
EOMONTH
 
HOUR  
 
ISOWEEKNUM
     
MINUTE  
 
MONTH
NOW
 
SECOND  
 
TIME    
 
TIMEVALUE  
 
TODAY
WEEKDAY
   
YEAR
YEARFRAC

Engineering

Function xlcalculator PyCel formulas Koala
BIN2DEC
 
BIN2HEX
 
BIN2OCT
 
DEC2BIN
 
DEC2HEX
 
DEC2OCT
 
HEX2BIN
 
HEX2DEC
 
HEX2OCT
 
OCT2BIN
 
OCT2DEC
 
OCT2HEX
 

Financial

Function xlcalculator PyCel formulas Koala
IRR
 
NPV
PMT
   
PV
     
SLN
   
VDB
   
XIRR
 
XNPV
 

Information

Function xlcalculator PyCel formulas Koala
ISBLANK
   
ISERR
 
ISERROR
 
ISEVEN
   
ISNA
 
ISNUMBER
   
ISODD
   
ISTEXT
 
NA
 
 

Logical

Function xlcalculator PyCel formulas Koala
AND
 
FALSE
 
 
IF
 
IFERROR  
IFS  
   
NOT  
 
OR
 
SWITCH    
 
TRUE
 
 
XOR  
 

Lookup and reference

Function xlcalculator PyCel formulas Koala
CHOOSE
   
COLUMN  
 
COLUMNS      
HLOOKUP  
 
INDEX  
INDIRECT  
   
LOOKUP  
MATCH
OFFSET  
 
ROW  
 
ROWS      
VLOOKUP

Math and Trigonometry

Function xlcalculator PyCel formulas Koala
ABS
 
ACOS
 
 
ACOSH
 
 
ACOT    
 
ACOTH    
 
ARABIC    
 
ASIN
 
 
ASINH
 
 
ATAN
 
 
ATAN2
 
ATANH    
 
CEILING
 
CEILING.MATH  
 
CEILING.PRECISE  
 
COS
 
 
COSH
 
 
COT    
 
COTH    
 
CSC    
 
CSCH    
 
DECIMAL    
 
DEGREES
 
 
EVEN
 
EXP
 
 
FACT
 
FACTDOUBLE
 
FLOOR.MATH  
 
FLOOR.PRECISE  
 
GCD    
 
INT
 
ISO.CEILING    
 
LCM    
 
LN
 
LOG
LOG10
 
 
MOD
MROUND    
 
ODD  
 
PI
 
 
POWER
RADIANS
 
 
RAND
 
RANDBETWEEN
 
ROMAN    
 
ROUND
ROUNDDOWN
 
ROUNDUP
SEC    
 
SECH    
 
SIGN
 
SIN
 
 
SINH    
 
SQRT
 
SQRTPI
 
 
SUM
SUMIF
SUMIFS
 
SUMPRODUCT
TAN
 
 
TANH    
 
TRUNC
 

Statistical

Function xlcalculator PyCel formulas Koala
AVERAGE
AVERAGEA    
 
AVERAGEIF  
 
AVERAGEIFS  
   
COUNT
COUNTA
 
COUNTBLANK    
 
COUNTIF
COUNTIFS
 
LARGE  
 
LINEST  
 
MAX
MAXA    
 
MAXIFS  
   
MIN
MINA    
 
MINIFS  
   
SMALL  
 

Text

Function xlcalculator PyCel formulas Koala
CONCAT
CONCATENATE
EXACT
     
FIND
 
LEFT
 
LEN
 
LOWER
 
MID
REPLACE
 
RIGHT
 
TRIM
 
UPPER
 
VALUE  
 

GitHub

View Github