Minimum values along axis, ignoring NaNs. Parameters ---------- axis : {None, integer}, optional Axis to

Minimum label value along the specified axis. Parameters ---------- axis : {int, None}, optional

Generic moving window function implemented with a python loop.

Generic moving window function implemented with strides.

Moving rank (normalized to -1 and 1) of a given window along axis. Normalized for missing (NaN) data. A data point with NaN data is returned

Moving rank (normalized to -1 and 1) of a given window along axis. Normalized for missing (NaN) data. A data point with NaN data is r

Number of dimensions.

Return a new larry of given shape and type, filled with ones. Parameters ---------- shape : {int, tuple}, optional If `s

Pull out the values for a given label name along a specified axis. A view of the data (but a copy of the label) is returned

Difference of two larrys using given join and fill methods. Parameters ---------- lar1 : larry The larry on the left-ha

Return an unflattened copy of larry. The larry to be unflattened must be in flattened form: 1d and label elements mu

Find the unique elements of a larry. Returns the sorted unique elements of a larry as a Numpy array. There are two optional outputs

Find unique groups in list not including None.

Return a new larry of given shape and type, filled with zeros. Parameters ---------- shape : {int, tuple}, optional If

Return a row aligned group list (e.g. sector list) of values. group must have exactly one column. The row labels of the object must

Absolute value of x. Returns ------- out : larry Returns a copy with the absolute values of the

Add a new comment line.

Assert equality of two larries or two scalars. If either `actual` or `desired` has a dtype that is inexact, such as float, then almo

Bootstrap iterator for training and testing indices. Parameters ---------- n : int Number of elements in total. Must be

Clip x values. Parameters ---------- lo : scalar All data values less than `lo` are set to `lo`.

Element by element exponential. Returns ------- out : larry Returns a copy with exp of x values.

Convert list of values and list of label tuples to larry label and x. Parameters ---------- xs : {tuple, list} A tuple o

Convert a list of tuples to a larry. The input data, if there are N dimensions and M data points, should have this f

Geometric mean of values along axis, ignoring NaNs. Parameters ---------- axis : {None, integer}, optional

Ranking within groups along axis. Parameters ---------- x : ndarray Data to be ranked. groups : list List of

True if key is in archive, False otherwise.

The ranking of the last element along the axis, ignoring NaNs. The ranking is normalized to be between -1 and 1 instead of t

Apply given function to each element of label along specified axis. Parameters ---------- func : function

Generic moving window function along the specified axis. Parameters ---------- func : function A reducing function such

Fill missing values (NaNs) with most recent non-missing values if recent, where recent is defined by the window. The filling proceeds

Random characters string selected from lower, upper letters and digits.

Return a relative path to the target from either the current dir or an optional base dir. Base can be a directory specified

Shuffle the data inplace along the specified axis. Unlike numpy's shuffle, this shuffle takes an axis argument. The ordering of the

Shuffle the label inplace along the specified axis. Parameters ---------- axis : {int, None}, optional

Return a list of larry objects (values) in archive.

Parameters ---------- data : str String with lines separated by '\n'.

Load larry labels from archive given the hpy5.Group object of the larry.

Repack if `max_freespace` is exceeded.

Align two larrys but return Numpy arrays and label instead of larrys. This function is the same as la.align() except that instead of ret

Covariance matrix adjusted for missing (NaN) values. Note: Only works on 2d larrys. The mean of each row is assumed to be zero.

Subtract the mean along the specified axis. Parameters ---------- arr : ndarray Input array. axis : {int, None}, opt

Return a new larry of given shape and type, without initializing entries. Parameters ---------- shape : {int, tuple}, optional

Flatten label in row-major order 'C' (default) or column-major order 'F'. Code taken (but modified) from http://code.activestate.com/rec

Convert a flattened list to a larry. The input data, if there are N dimensions and M data points, should have this form::

Group (e.g. sector) mean along columns (zero axis). The row labels of the object must be a subset of the row labels of the gr

Group (e.g. sector) median along columns (zero axis). The row labels of the object must be a subset of the row labels of the

Sorted list containing the intersection of labels along specified axis. Parameters ---------- axis : int The axis along

Element by element inverting of True to False and False to True. Raises ------ TypeError If larr

Returns True if input is a float; False otherwise. Parameters ---------- x : any Input can be of any type. Retur

Returns True if input is an integer; False otherwise. Parameters ---------- x : any Input can be of any type. Re

Return a list of all (key, value) pairs.

return true if *obj* is iterable

Convert list of labels to indices

Make the index mapping lines of actual code to their associated prefix comments.

Replace NaNs. Parameters ---------- replace_with : scalar Value to replace NaNs with.

Return True if there are only references

Returns True if derivative is out-of-date wrt original, both of which are full file paths.

Convert a 3d larry of shape (n, m, k) to a 2d larry of shape (m*k, n). Parameters ---------- lar : 3d larry The input mu

Element by element x**q. Parameters ---------- q : scalar The power to raise to.

Random samples from a uniform distribution in a given shape. The random samples are from a uniform distribution over ``[0, 1)``.

Repack archive to remove freespace.

Convert a slice that may contain labels to a slice with indices.

Swap the two specified axes. Parameters ---------- axis1 : int First axis. This axis will become

Save 1d or 2d larry to text file (overwrites file if already exists). Parameters ---------- file : {str, fil

Convert to a flattened list of tuples. See Also -------- la.larry.fromtuples : Convert a list of tuples to a

Extract code from a piece of text, which contains either Python code or doctests.

Union of labels along specified axis. Parameters ---------- axis : int The axis along which to take the union of the lab