Unparser(tree, file=sys.stdout) -> None. Print the source for tree to file.

Save and load larrys in HDF5 format using a dictionary-like interface. Dictionaries are made up of (key, value) pairs. In an

Meet lara, she's a larry-like archive object. Parameters ---------- group : h5py.Group An instan

Meet larry, he's a labeled array. Parameters ---------- x : numpy array_like Data, NaN are treat

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

Element by element 'less than or equal to' (<=) comparison.

Element by element 'less than' (<) comparison.

Multiply a larry with another larry, Numpy array, or scalar. If two larrys are multiplied then the larrys are joined with an inner

Element by element inequality (!=) comparison.

Return a copy with each element switched with its negative.

Logical or a larry with another larry, Numpy array, or scalar. Notes ----- Numpy defines | as bitwise_or; he

Return a copy.

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

Right divide a larry with a another larry, Numpy array, or scalar.

Right subtract a larry with a another larry, Numpy array, or scalar.

Assign values to a subset of a larry using indexing to select subset. Examples -------- Let's set all elemen

Add lines to the block.

boot index iterator test for proper count and uniqueness

boot index iterator test for repeatability

Check that function returns a numpy array or a scalar.

Warning: this will delete (unlink) all larrys from the archive!

Return a copy of a larry's data as a Numpy array. Examples -------- >>> y = larry([1, 2], [['a', 'b']]) >>>

cv index iterator test for proper count and uniqueness

cv index iterator test for repeatability

Test datetime.datetime conversion

The dtype of the elements (not the labels) in the larry. Examples -------- >>> from la import nan

filename of archive.

Yield all of the documentation for trait definitions on a class object.

la package information such as version number and HDF5 availability.

True if the key (larry name) is in the archive, False otherwise.

Return True if input is a str or np.string_.

An iterator over the keys.

An iterator over the values.

Keep labels (and corresponding values) that satisfy conditon. Keep labels that satify:

Keep labels (and corresponding values) that satisfy conditon. Set x values that do not satify the condition to NaN. Then, if

listmap_fill test

listmap_fill unmappable test

listmap test

listmap unmappable test

Index into a larry using labels or index numbers or both. In order to distinguish between labels and indices, label elements

Load a larry from a HDF5 archive. Each larry is stored in a HDF5 group. The group is assigned an attribute named 'larry' which is set to

Merge, or optionally update, a larry with a second larry. Parameters ---------- other : larry The l

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

Moving window maximum along the specified axis, ignoring NaNs. Parameters ---------- window : int

Moving window mean along the specified axis, ignoring NaNs. Parameters ---------- window : int T

Moving window median along the specified axis. Parameters ---------- arr : ndarray Input array. window : int

Moving window median along the specified axis, ignoring NaNs. Parameters ---------- window : int

Moving window minimum along the specified axis, ignoring NaNs. Parameters ---------- window : int

Moving window standard deviation along specified axis, ignoring NaNs. Parameters ---------- window : int

Test that different mov methods give the same results on 2d input.

Test that different mov methods give the same results on 2d input.

Number of dimensions in the larry. Examples -------- >>> from la import nan >>> y = larry([1, 2,

Number of finite values (not NaN, -Inf, or Inf) in the larry. Examples -------- >>> from la import n

Match ':role:`name`' or 'name