# `!cmath` --- Mathematical functions for complex numbers

<div class="module" data-synopsis="Mathematical functions for complex numbers.">

cmath

</div>

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This module provides access to mathematical functions for complex numbers. The functions in this module accept integers, floating-point numbers or complex numbers as arguments. They will also accept any Python object that has either a `~object.__complex__` or a `~object.__float__` method: these methods are used to convert the object to a complex or floating-point number, respectively, and the function is then applied to the result of the conversion.

> [!NOTE]
> For functions involving branch cuts, we have the problem of deciding how to define those functions on the cut itself. Following Kahan's "Branch cuts for complex elementary functions" paper, as well as Annex G of C99 and later C standards, we use the sign of zero to distinguish one side of the branch cut from the other: for a branch cut along (a portion of) the real axis we look at the sign of the imaginary part, while for a branch cut along the imaginary axis we look at the sign of the real part.
>
> For example, the `cmath.sqrt` function has a branch cut along the negative real axis. An argument of `-2-0j` is treated as though it lies *below* the branch cut, and so gives a result on the negative imaginary axis:
>
>     >>> cmath.sqrt(-2-0j)
>     -1.4142135623730951j
>
> But an argument of `-2+0j` is treated as though it lies above the branch cut:
>
>     >>> cmath.sqrt(-2+0j)
>     1.4142135623730951j

<table>
<tbody>
<tr>
<td colspan="2"><strong>Conversions to and from polar coordinates</strong></td>
</tr>
<tr>
<td><code class="interpreted-text" role="func">phase(z) &lt;phase&gt;</code></td>
<td>Return the phase of <em>z</em></td>
</tr>
<tr>
<td><code class="interpreted-text" role="func">polar(z) &lt;polar&gt;</code></td>
<td>Return the representation of <em>z</em> in polar coordinates</td>
</tr>
<tr>
<td><code class="interpreted-text" role="func">rect(r, phi) &lt;rect&gt;</code></td>
<td>Return the complex number <em>z</em> with polar coordinates <em>r</em> and <em>phi</em></td>
</tr>
<tr>
<td colspan="2"><strong>Power and logarithmic functions</strong></td>
</tr>
<tr>
<td><code class="interpreted-text" role="func">exp(z) &lt;exp&gt;</code></td>
<td>Return <em>e</em> raised to the power <em>z</em></td>
</tr>
<tr>
<td><code class="interpreted-text" role="func">log(z[, base]) &lt;log&gt;</code></td>
<td>Return the logarithm of <em>z</em> to the given <em>base</em> (<em>e</em> by default)</td>
</tr>
<tr>
<td><code class="interpreted-text" role="func">log10(z) &lt;log10&gt;</code></td>
<td>Return the base-10 logarithm of <em>z</em></td>
</tr>
<tr>
<td><code class="interpreted-text" role="func">sqrt(z) &lt;sqrt&gt;</code></td>
<td>Return the square root of <em>z</em></td>
</tr>
<tr>
<td colspan="2"><strong>Trigonometric functions</strong></td>
</tr>
<tr>
<td><code class="interpreted-text" role="func">acos(z) &lt;acos&gt;</code></td>
<td>Return the arc cosine of <em>z</em></td>
</tr>
<tr>
<td><code class="interpreted-text" role="func">asin(z) &lt;asin&gt;</code></td>
<td>Return the arc sine of <em>z</em></td>
</tr>
<tr>
<td><code class="interpreted-text" role="func">atan(z) &lt;atan&gt;</code></td>
<td>Return the arc tangent of <em>z</em></td>
</tr>
<tr>
<td><code class="interpreted-text" role="func">cos(z) &lt;cos&gt;</code></td>
<td>Return the cosine of <em>z</em></td>
</tr>
<tr>
<td><code class="interpreted-text" role="func">sin(z) &lt;sin&gt;</code></td>
<td>Return the sine of <em>z</em></td>
</tr>
<tr>
<td><code class="interpreted-text" role="func">tan(z) &lt;tan&gt;</code></td>
<td>Return the tangent of <em>z</em></td>
</tr>
<tr>
<td colspan="2"><strong>Hyperbolic functions</strong></td>
</tr>
<tr>
<td><code class="interpreted-text" role="func">acosh(z) &lt;acosh&gt;</code></td>
<td>Return the inverse hyperbolic cosine of <em>z</em></td>
</tr>
<tr>
<td><code class="interpreted-text" role="func">asinh(z) &lt;asinh&gt;</code></td>
<td>Return the inverse hyperbolic sine of <em>z</em></td>
</tr>
<tr>
<td><code class="interpreted-text" role="func">atanh(z) &lt;atanh&gt;</code></td>
<td>Return the inverse hyperbolic tangent of <em>z</em></td>
</tr>
<tr>
<td><code class="interpreted-text" role="func">cosh(z) &lt;cosh&gt;</code></td>
<td>Return the hyperbolic cosine of <em>z</em></td>
</tr>
<tr>
<td><code class="interpreted-text" role="func">sinh(z) &lt;sinh&gt;</code></td>
<td>Return the hyperbolic sine of <em>z</em></td>
</tr>
<tr>
<td><code class="interpreted-text" role="func">tanh(z) &lt;tanh&gt;</code></td>
<td>Return the hyperbolic tangent of <em>z</em></td>
</tr>
<tr>
<td colspan="2"><strong>Classification functions</strong></td>
</tr>
<tr>
<td><code class="interpreted-text" role="func">isfinite(z) &lt;isfinite&gt;</code></td>
<td>Check if all components of <em>z</em> are finite</td>
</tr>
<tr>
<td><code class="interpreted-text" role="func">isinf(z) &lt;isinf&gt;</code></td>
<td>Check if any component of <em>z</em> is infinite</td>
</tr>
<tr>
<td><code class="interpreted-text" role="func">isnan(z) &lt;isnan&gt;</code></td>
<td>Check if any component of <em>z</em> is a NaN</td>
</tr>
<tr>
<td><code class="interpreted-text" role="func">isclose(a, b, *, rel_tol, abs_tol) &lt;isclose&gt;</code></td>
<td>Check if the values <em>a</em> and <em>b</em> are close to each other</td>
</tr>
<tr>
<td colspan="2"><strong>Constants</strong></td>
</tr>
<tr>
<td><code class="interpreted-text" role="data">pi</code></td>
<td><em>π</em> = 3.141592...</td>
</tr>
<tr>
<td><code class="interpreted-text" role="data">e</code></td>
<td><em>e</em> = 2.718281...</td>
</tr>
<tr>
<td><code class="interpreted-text" role="data">tau</code></td>
<td><em>τ</em> = 2<em>π</em> = 6.283185...</td>
</tr>
<tr>
<td><code class="interpreted-text" role="data">inf</code></td>
<td>Positive infinity</td>
</tr>
<tr>
<td><code class="interpreted-text" role="data">infj</code></td>
<td>Pure imaginary infinity</td>
</tr>
<tr>
<td><code class="interpreted-text" role="data">nan</code></td>
<td>"Not a number" (NaN)</td>
</tr>
<tr>
<td><code class="interpreted-text" role="data">nanj</code></td>
<td>Pure imaginary NaN</td>
</tr>
</tbody>
</table>

## Conversions to and from polar coordinates

A Python complex number `z` is stored internally using *rectangular* or *Cartesian* coordinates. It is completely determined by its *real part* `z.real` and its *imaginary part* `z.imag`.

*Polar coordinates* give an alternative way to represent a complex number. In polar coordinates, a complex number *z* is defined by the modulus *r* and the phase angle *phi*. The modulus *r* is the distance from *z* to the origin, while the phase *phi* is the counterclockwise angle, measured in radians, from the positive x-axis to the line segment that joins the origin to *z*.

The following functions can be used to convert from the native rectangular coordinates to polar coordinates and back.

<div class="function">

phase(z)

Return the phase of *z* (also known as the *argument* of *z*), as a float. `phase(z)` is equivalent to `math.atan2(z.imag, z.real)`. The result lies in the range \[-*π*, *π*\], and the branch cut for this operation lies along the negative real axis. The sign of the result is the same as the sign of `z.imag`, even when `z.imag` is zero:

    >>> phase(-1+0j)
    3.141592653589793
    >>> phase(-1-0j)
    -3.141592653589793

</div>

> [!NOTE]
> The modulus (absolute value) of a complex number *z* can be computed using the built-in `abs` function. There is no separate `!cmath` module function for this operation.

<div class="function">

polar(z)

Return the representation of *z* in polar coordinates. Returns a pair `(r, phi)` where *r* is the modulus of *z* and *phi* is the phase of *z*. `polar(z)` is equivalent to `(abs(z), phase(z))`.

</div>

<div class="function">

rect(r, phi)

Return the complex number *z* with polar coordinates *r* and *phi*. Equivalent to `complex(r * math.cos(phi), r * math.sin(phi))`.

</div>

## Power and logarithmic functions

<div class="function">

exp(z)

Return *e* raised to the power *z*, where *e* is the base of natural logarithms.

</div>

<div class="function">

log(z\[, base\])

Return the logarithm of *z* to the given *base*. If the *base* is not specified, returns the natural logarithm of *z*. There is one branch cut, from 0 along the negative real axis to -∞.

</div>

<div class="function">

log10(z)

Return the base-10 logarithm of *z*. This has the same branch cut as `log`.

</div>

<div class="function">

sqrt(z)

Return the square root of *z*. This has the same branch cut as `log`.

</div>

## Trigonometric functions

<div class="function">

acos(z)

Return the arc cosine of *z*. There are two branch cuts: One extends right from 1 along the real axis to ∞. The other extends left from -1 along the real axis to -∞.

</div>

<div class="function">

asin(z)

Return the arc sine of *z*. This has the same branch cuts as `acos`.

</div>

<div class="function">

atan(z)

Return the arc tangent of *z*. There are two branch cuts: One extends from `1j` along the imaginary axis to `∞j`. The other extends from `-1j` along the imaginary axis to `-∞j`.

</div>

<div class="function">

cos(z)

Return the cosine of *z*.

</div>

<div class="function">

sin(z)

Return the sine of *z*.

</div>

<div class="function">

tan(z)

Return the tangent of *z*.

</div>

## Hyperbolic functions

<div class="function">

acosh(z)

Return the inverse hyperbolic cosine of *z*. There is one branch cut, extending left from 1 along the real axis to -∞.

</div>

<div class="function">

asinh(z)

Return the inverse hyperbolic sine of *z*. There are two branch cuts: One extends from `1j` along the imaginary axis to `∞j`. The other extends from `-1j` along the imaginary axis to `-∞j`.

</div>

<div class="function">

atanh(z)

Return the inverse hyperbolic tangent of *z*. There are two branch cuts: One extends from `1` along the real axis to `∞`. The other extends from `-1` along the real axis to `-∞`.

</div>

<div class="function">

cosh(z)

Return the hyperbolic cosine of *z*.

</div>

<div class="function">

sinh(z)

Return the hyperbolic sine of *z*.

</div>

<div class="function">

tanh(z)

Return the hyperbolic tangent of *z*.

</div>

## Classification functions

<div class="function">

isfinite(z)

Return `True` if both the real and imaginary parts of *z* are finite, and `False` otherwise.

<div class="versionadded">

3.2

</div>

</div>

<div class="function">

isinf(z)

Return `True` if either the real or the imaginary part of *z* is an infinity, and `False` otherwise.

</div>

<div class="function">

isnan(z)

Return `True` if either the real or the imaginary part of *z* is a NaN, and `False` otherwise.

</div>

<div class="function">

isclose(a, b, \*, rel_tol=1e-09, abs_tol=0.0)

Return `True` if the values *a* and *b* are close to each other and `False` otherwise.

Whether or not two values are considered close is determined according to given absolute and relative tolerances. If no errors occur, the result will be: `abs(a-b) <= max(rel_tol * max(abs(a), abs(b)), abs_tol)`.

*rel_tol* is the relative tolerance -- it is the maximum allowed difference between *a* and *b*, relative to the larger absolute value of *a* or *b*. For example, to set a tolerance of 5%, pass `rel_tol=0.05`. The default tolerance is `1e-09`, which assures that the two values are the same within about 9 decimal digits. *rel_tol* must be nonnegative and less than `1.0`.

*abs_tol* is the absolute tolerance; it defaults to `0.0` and it must be nonnegative. When comparing `x` to `0.0`, `isclose(x, 0)` is computed as `abs(x) <= rel_tol  * abs(x)`, which is `False` for any `x` and rel_tol less than `1.0`. So add an appropriate positive abs_tol argument to the call.

The IEEE 754 special values of `NaN`, `inf`, and `-inf` will be handled according to IEEE rules. Specifically, `NaN` is not considered close to any other value, including `NaN`. `inf` and `-inf` are only considered close to themselves.

<div class="versionadded">

3.5

</div>

<div class="seealso">

`485` -- A function for testing approximate equality

</div>

</div>

## Constants

<div class="data">

pi

The mathematical constant *π*, as a float.

</div>

<div class="data">

e

The mathematical constant *e*, as a float.

</div>

<div class="data">

tau

The mathematical constant *τ*, as a float.

<div class="versionadded">

3.6

</div>

</div>

<div class="data">

inf

Floating-point positive infinity. Equivalent to `float('inf')`.

<div class="versionadded">

3.6

</div>

</div>

<div class="data">

infj

Complex number with zero real part and positive infinity imaginary part. Equivalent to `complex(0.0, float('inf'))`.

<div class="versionadded">

3.6

</div>

</div>

<div class="data">

nan

A floating-point "not a number" (NaN) value. Equivalent to `float('nan')`. See also `math.nan`.

<div class="versionadded">

3.6

</div>

</div>

<div class="data">

nanj

Complex number with zero real part and NaN imaginary part. Equivalent to `complex(0.0, float('nan'))`.

<div class="versionadded">

3.6

</div>

</div>

<div class="index">

pair: module; math

</div>

Note that the selection of functions is similar, but not identical, to that in module `math`. The reason for having two modules is that some users aren't interested in complex numbers, and perhaps don't even know what they are. They would rather have `math.sqrt(-1)` raise an exception than return a complex number. Also note that the functions defined in `!cmath` always return a complex number, even if the answer can be expressed as a real number (in which case the complex number has an imaginary part of zero).

A note on branch cuts: They are curves along which the given function fails to be continuous. They are a necessary feature of many complex functions. It is assumed that if you need to compute with complex functions, you will understand about branch cuts. Consult almost any (not too elementary) book on complex variables for enlightenment. For information of the proper choice of branch cuts for numerical purposes, a good reference should be the following:

<div class="seealso">

Kahan, W: Branch cuts for complex elementary functions; or, Much ado about nothing's sign bit. In Iserles, A., and Powell, M. (eds.), The state of the art in numerical analysis. Clarendon Press (1987) pp165--211.

</div>