If the filepath_or_buffer is a url, translate and return the buffer. Otherwise passthrough. Parameters ---------- filepath_or_bu

Guaranteed return of an indexer even when non-unique. This dispatches to get_indexer or get_indexer_nonunique as appropriate

Fixture for parametrization of date_range, period_range and timedelta_range indexes

return the first element of the underlying data as a python scalar

r""" Iterator over (column name, Series) pairs. Iterates over the DataFrame columns, returning a tuple with the column name a

Join arrays `r1` and `r2` on key `key`. The key should be either a string or a sequence of string corresponding to the fields used to jo

Evaluate a Laguerre series at points x. If `c` is of length `n + 1`, this function returns the value: .. math:: p(x) = c_0 * L_0(x) + c

Evaluate a Legendre series at points x. If `c` is of length `n + 1`, this function returns the value: .. math:: p(x) = c_0 * L_0(x) + c

Load a pickle from the current string. The result of ``cPickle.loads(strg)`` is returned. Parameters ---------- strg : str

Return the largest `n` elements. Parameters ---------- n : int, default 5 Return this many descending so

Load msgpack pandas object from the specified file path THIS IS AN EXPERIMENTAL LIBRARY and the storage format may not be stable unt

Series with period range index and random data for test purposes.

Sort by the values. Sort a Series in ascending or descending order by some criterion. Parameters ----------

Convert the DataFrame to a dictionary. The type of the key-value pairs can be customized with the parameters (see below).

Finds the unique elements of an array. Masked values are considered the same element (masked). The output array is always a masked array

Return the ``Categorical`` which ``categories`` and ``codes`` are unique. Unused categories are NOT returned. - unordered ca

Modify in place using non-NA values from another DataFrame. Aligns on indices. There is no return value. Parameters

Helper method for our assert_* methods that ensures that the two objects being compared have the right type before proceeding with the co

Apply a function to 1-D slices along the given axis. Execute `func1d(a, *args)` where `func1d` operates on 1-D arrays and `a` is a 1-D s

Check that all items of arrays differ in at most N Units in the Last Place. Parameters ---------- a, b : array_like Input ar

Transform any list-like object in a 1-dimensional numpy array of object dtype. Parameters ---------- values : any iterable which

Number each item in each group from 0 to the length of that group - 1. Essentially this is equivalent to >>> self.apply(lam

The differences between consecutive elements of an array. Parameters ---------- ary : array_like If necessary, will be flatt

Iterate over Cartesian product of *args, and if an exception is raised, add information of the current iterate.

return our implementation

infer the axes of my storer return a boolean indicating if we have a valid storer or not

Check whether an array-like is a 1-D pandas sparse array. Check that the one-dimensional array-like is a pandas sparse array. Returns Tr

This is intended to be a drop-in replacement for np.argsort which handles NaNs. It adds ascending and na_position parameters. GH #6399, #

Alter Index or MultiIndex name. Able to set new names without level. Defaults to returning new index. Length of names must m

Function version of the eponymous method.

Sorts the Categorical by category value returning a new Categorical by default. While an ordering is applied to the category

Cast to DatetimeIndex of timestamps, at *beginning* of period. Parameters ---------- freq : string, default frequenc

Check whether `key` is ambiguous. By ambiguous, we mean that it matches both a level of the input `axis` and a label of the

Let's be explicit about this.

Find the name to attach to this method according to conventions for special and non-special methods. Parameters ---------- op :

Consistent invalid indexer message.

Return a boolean if the condition is satisfied for the arr_or_dtype. Parameters ---------- arr_or_dtype : array-like The arr

If n is positive, return tomorrow's business day opening time. Otherwise yesterday's business day's opening time. Opening ti

Calculate table chape considering index levels.

Update map location for tag with file position

Helper to call encode before writing to file for Python 3 compat.

Test whether any array element along a given axis evaluates to True. Refer to `numpy.any` for full documentation. Parameter

Broadcast any number of arrays against each other. Parameters ---------- `*args` : array_likes The arrays to broadcast.

Run func on each of the cases with all of the tags in require, and none of the tags in exclude

convert the numpy values to a list

Make deep or shallow copy of BlockManager Parameters ---------- deep : boolean o rstring, default True I

Return Pearson product-moment correlation coefficients. Please refer to the documentation for `cov` for more detail. The relationship b

create the pickle/msgpack data

Fill missing values with `value`. Parameters ---------- value : scalar, optional method : str, optional

unlike np.transpose, this returns an array of tuples

Get location for a label or a tuple of labels as an integer, slice or boolean mask. Parameters ---------- ke