### Navigation

- index
- modules |
- modules |
- next |
- previous |
- SciPy v0.9 Reference Guide (DRAFT) »
- Miscellaneous routines (`scipy.misc`) »

# scipy.misc.common

Functions which are common and require SciPy Base and Level 1 SciPy (special, linalg)

Functions

`arange`([dtype]) | Return evenly spaced values within a given interval.
`array`(object[, dtype, copy, order, subok, ndmin]) | Create an array.
`asarray`(a[, dtype, order]) | Convert the input to an array.
`central_diff_weights`(Np[, ndiv]) | Return weights for an Np-point central derivative of order ndiv
`comb`(N, k[, exact]) | The number of combinations of N things taken k at a time.
`derivative`(func, x0[, dx, n, args, order]) | Find the n-th derivative of a function at point x0.
`dot`(a, b[, out]) | Dot product of two arrays.
`extract`(condition, arr) | Return the elements of an array that satisfy some condition.
`eye`(N[, M, k, dtype]) | Return a 2-D array with ones on the diagonal and zeros elsewhere.
`factorial`(n[, exact]) | The factorial function, n! = special.gamma(n+1).
`factorial2`(n[, exact]) | Double factorial.
`factorialk`(n, k[, exact]) | n(!!...!) = multifactorial of order k
`hstack`(tup) | Stack arrays in sequence horizontally (column wise).
`lena`() | Get classic image processing example image, Lena, at 8-bit grayscale
`pade`(an, m) | Given Taylor series coefficients in an, return a Pade approximation to
`place`(arr, mask, vals) | Change elements of an array based on conditional and input values.
`product`(a[, axis, dtype, out]) | Return the product of array elements over a given axis.
`where`(condition, x) | Return elements, either from x or y, depending on condition.
`zeros`(shape[, dtype, order]) | Return a new array of given shape and type, filled with zeros.

Classes

`poly1d`(c_or_r[, r, variable]) | A one-dimensional polynomial class.

### Navigation

- index
- modules |
- modules |
- next |
- previous |
- SciPy v0.9 Reference Guide (DRAFT) »
- Miscellaneous routines (`scipy.misc`) »