Formula for Cot

Returns the cotangent of an angle in radians.

Syntax

Formula structure

Source: Quadratic docs
=COT(radians)
radians
Required: Yes

Required argument used by the COT formula.

Examples for the formula for cot

Copy these examples into a spreadsheet and adjust the ranges for your own data.

COT syntax pattern

=COT(radians)

Use this COT pattern as the starting point for your spreadsheet formula.

COT in a worksheet

=COT(radians)

Returns the cotangent of an angle in radians.

When to use COT

Use COT when you need to return the cotangent of an angle in radians.

  • Convert and calculate angles.
  • Model geometry, waves, and other trigonometric relationships.

How COT works in Quadratic

In Quadratic, COT follows the syntax COT(radians). The function works inside Quadratic formulas and can be combined with spreadsheet ranges, tables, and other formulas.

Common COT mistakes

Most COT issues come from mismatched argument types, ranges that do not cover the intended data, or optional parameters being omitted when the default behavior is not what you expected.

  • Check each required parameter before copying the formula across a sheet.
  • Confirm that ranges line up with the rows or columns you intend to analyze.
  • Use Quadratic AI to explain or debug the formula when the result looks wrong.

Related formulas

COT formula FAQ

What does the formula for cot do?

COT returns the cotangent of an angle in radians.

What is the syntax for COT?

The syntax is COT(radians). Required and optional parameters are listed at the top of this guide.

Can Quadratic AI help with COT?

Yes. Quadratic AI can write a COT formula, explain existing formula logic, or help debug broken references and unexpected results.

Quadratic AI

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Spreadsheet formulas are powerful, but they get painful fast. A COT formula can start simple, then turn into logic that is hard to understand, easy to break, and difficult to share with the rest of your team.

Quadratic AI helps you write formulas, explain formula logic, debug broken references, and move beyond formulas when advanced analysis needs Python, SQL, charts, or connected data.

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Why formulas slow teams down

  • Long formulas become hard to read, understand, and trust.
  • Formula logic breaks when rows, columns, or assumptions change.
  • Manual updates make dashboards and reports fragile over time.
  • Complex formulas are difficult to explain, review, and share with teammates.
  • Advanced analysis quickly outgrows formula-only workflows.