Subtract a larry from another larry, Numpy array, or scalar. If two larrys are subtracted then the larrys are joined with an

Create a nested set of groups.

Convert list to array if elements are of the same type, raise otherwise.

.. index: default :refguide: something, else, and more

func_name : Descriptive text continued text another_func_name : Descriptive text func_name1, func_name2, :meth:`f

Grab signature (if given) and summary

Generate a member listing, autosummary:: table where possible, and a table where not.

Return a list of the keys (larry names) in the archive.

Return True if there are no shared references

Return True if there are only references

Covariance matrix adjusted for missing returns. covMissing returns the covariance matrix adjusted for missing returns. R (NxT) is log st

Convert datetime.datetime to tuple; tzinfo, if any, is lost.

Deindent a list of lines maximally

Delete a larry from a HDF5 archive. Parameters ---------- file : str or h5py.File Filename or h5py.File object of the ar

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

Divide two larrys element-wise using given join and fill methods. Parameters ---------- lar1 : larry The larry on the le

Stack a 2d array to make a 3d array. Used in this module to compare reduction operations on 2d and 3d arrays. Example ----

Fetch historical data for ticker between date1 and date2. date1 and date2 are date or datetime instances, or (year, month, day) sequences.

The number of bytes of freespace in the archive.

Load a larry from a csv file. The type information of the labels is not contained in a csv file. Therefore, a label

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

constructs list of labels for comparison with generic larry does not preserve ordering of labels in each axis

constructs list of labels for comparison with generic larry preserves ordering of labels in each axis, usable for morph comparison

Group (e.g. sector) ranking along columns. The row labels of the object must be a subset of the row labels of the group.

Insert a fake Python module to sys.modules, based on a XML file. The XML file is expected to conform to Pydocweb DTD. The fake module wi

Returns a bool larry with -Inf and Inf replaced by True, others False. Returns ------- out : larry Retur

Convert a list to a unique list and the corresponding indices.

Return True if the object has a class or superclass with the given class name. Ignores old-style classes.

Run a pyplot script *code* and save the images under *output_dir* with file names derived from *output_base*

Morph along all axes to align with given larry. If label elements in `lar` do not exist in the larry, then a fill value is u

Moving window median along the specified axis, ignoring NaNs. Parameters ---------- arr : ndarray Input array. windo

Moving window ranking along the specified axis, ignoring NaNs. The output is normalized to be between -1 and 1. For example, with a window

Moving window ranking along the specified axis, ignoring NaNs. The output is normalized to be between -1 and 1. For example, with a

Multiply two larrys element-wise using given join and fill methods. Parameters ---------- lar1 : larry The larry on the

Possibly add a new comment. Only adds a new comment if this comment is the only thing on the line. Otherwise, it extends the

We are transitioning from a noncomment to a comment.

Parse the historical data in file handle fh from yahoo finance. Return a list of tuples containing date, open, close, high, low, vo

Process a file object.

Process a single token.

Fill missing values (NaN) with most recent non-missing values if recent.

Convert elements in each column to integers between 1 and q then normalize. Result is normalized to -1, 1. Parameters -----

Get historical data for ticker between date1 and date2. date1 and date2 are datetime instances or (year, month, day) sequences. See

Repack archive to remove freespace. Parameters ---------- file : h5py File or str A h5py File instance of an archive suc

Save a larry in HDF5 format. Each larry is stored in a HDF5 group. The group is assigned an attribute named 'larry' which is set to True

Find the comment block just before the given line number. Returns None (or the specified default) if there is no such block.

Set one x element given a list of label names. Give one label name (not label index) for each dimension. Pa

Shape of the larry as a tuple. Examples -------- >>> from la import nan >>> y = larry([1, 2, nan]

Element by element sign of the element. Returns -1 if x < 0; 0 if x == 0, and 1 if x > 0. Returns -

Split into train and test data along give axis. Parameters ---------- data : larry, Numpy array The data to split into t