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# Tools

`add_constant`(data[, prepend]) | This appends a constant to the design matrix if prepend==False.

The following are mostly helper functions that are not separately tested or insufficiently tested.

`categorical`(data[, col, dictnames, drop]) | Returns a dummy matrix given an array of categorical variables.
`ECDF`(values) | Return the Empirical CDF of an array as a step function.
`clean0`(matrix) | Erase columns of zeros: can save some time in pseudoinverse.
`fullrank`(X[, r]) | Return a matrix whose column span is the same as X.
`isestimable`(C, D) | From an q x p contrast matrix C and an n x p design matrix D, checks
`monotone_fn_inverter`(fn, x, **keywords[, ...]) | Given a monotone function x (no checking is done to verify monotonicity)
`rank`(X[, cond]) | Return the rank of a matrix X based on its generalized inverse,
`recipr`(X) | Return the reciprocal of an array, setting all entries less than or equal to 0 to 0.
`recipr0`(X) | Return the reciprocal of an array, setting all entries equal to 0 as 0.
`unsqueeze`(data, axis, oldshape) | Unsqueeze a collapsed array

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