ncalm

def flatten_geography(rich_value):
    props = rich_value.data.get("properties", {})
    flat = {}

    def extract(val):
        if not isinstance(val, dict):
            return str(val) if val is not None else None

        typ = val.get("type")
        if typ in ("String", "FormattedNumber"):

ncalm

def portfolio_analysis(data: UDF.Range, has_dates: bool = True, price_type: str = "Close",
                       annual_factor: int = 252, custom_weights: list = None, risk_free_rate: float = 0.0) -> UDF.Range:
    """
    Calculates key portfolio metrics from stock price data.
    
    Args:
        data: Daily stock prices. If has_dates=True, the first column should be dates.
        has_dates: Whether the first column contains dates (True) or is price data (False).
        price_type: String indicating price type used ("Close" or "Adj Close").
        annual_factor: Number of trading days per year, defaulting to 252 for daily data.

ncalm

import inspect

begin_print = False
module_print = True
function_print = True

for key, value in list(globals().items()):
    if begin_print and not key.endswith("_print"):
        # print imported module names if requested
        if module_print and inspect.ismodule(value):

ncalm

DATE.EXP = LAMBDA(y, m, d,
   LET(
      mdJoin, CROSSJOIN(m, d),
      ymdJoin, CROSSJOIN(y, mdJoin),
      yearArray, CHOOSECOLS(ymdJoin, 1),
      monthArray, CHOOSECOLS(ymdJoin, 2),
      dayArray, CHOOSECOLS(ymdJoin, -1),
      SORT(MAP(yearArray, monthArray, dayArray, DATE))
   )
);

ncalm

IFOMITTED = LAMBDA(arg, then, IF(ISOMITTED(arg),then,arg));

// Collapse a boolean array to a boolean vector
COLLAPSE = LAMBDA(
    array,
    [collapse_with], // AND (default) or OR
    [collapse_to], // 0 (default) = column or 1 = row
    IF(collapse_to=0,BYROW,BYCOL)(array,IFOMITTED(collapse_with, AND))
);

ncalm

Option Explicit

Public Sub TogglePythonCells()
    Dim cell As Range
    
    For Each cell In Selection
        If Left(cell.Formula2, 3) = "=PY" Then
            If cell.HasFormula Then
                cell.Formula2 = "'" & cell.Formula2
            Else

ncalm

import numpy as np
import bisect
import timeit
import matplotlib.pyplot as plt

# Initialize list to store results
results = []

# Test for different array sizes
test_values = [1000, 10000, 100000, 1000000, 10000000, 100000000]

ncalm

import math
from sympy import divisor_sigma, isprime
import time

t1 = time.time()
results = []
n = 1
while len(results) < 50:
    if n > 2 and isprime(n):
        n += 1

ncalm

CHECKRANGE = LAMBDA(checkfn,
    LAMBDA(directionfn,
        LAMBDA(v,
            directionfn(v,LAMBDA(x,AND(checkfn(x))))
        )));
CHECKISBLANK = CHECKRANGE(ISBLANK);
CHECKBLANKROWS = CHECKISBLANK(BYROW);
CHECKBLANKCOLS = CHECKISBLANK(BYCOL);

TRIMRANGE2 =LAMBDA(sparseRange, [compressOrRemove], 

ncalm

# Create a KPI card
card = KPICard(figsize=(4, 3))

# Add elements to the card
card.add_title("Revenue")
card.add_value(1234567, prefix="$", suffix="")
card.add_change(12.5)  # Will show with arrow
card.add_subtitle("vs. Previous Month")
card.add_border()