Convenience function to create a `np.dtype` object. The function processes the input `dtype` and matches it with the given names. P

Find a common data type among the given dtypes. Parameters ---------- types : list of dtypes Returns ------- pandas ext

return the value for the location i

Return the doc of the function (from the doc of the method).

Return a data hash of the Index/Series/DataFrame .. versionadded:: 0.19.2 Parameters ---------- index : boolean, default True

Check whether an array-like is a datetime-like array-like. Acceptable datetime-like objects are (but not limited to) datetime indices, p

Return a boolean array where the index values are in `values`. Compute boolean array of whether each index value is found in the

Return matrix rank of array using SVD method Rank of the array is the number of singular values of the array that are greater than `tol`

try to cast to the specified dtype (e.g. convert back to bool/int or could be an astype of float64->float32

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

return a single column from the table. This is generally only useful to select an indexable Parameters ----------

Format specified values of `self` and return them. Parameters ---------- slicer : int, array-like An ind

test coercion triggered by where

Helper function for delegating arguments to Python string functions. Many of the Python string operations that have optional arguments

Map the axis to the block_manager axis.

Initializes or resets ``_id`` attribute with new object.

Return a summarized representation. Parameters ---------- name : str name to use in the summary represen

Recursively add files under data_path to data_files list. Recursively add files under data_path to the list of data_files to be insta

iterate over the blocks, collect and create a new block manager Parameters ---------- f : the callable or function n

Convert a NumPy / pandas type to its corresponding json_table. Parameters ---------- x : array or dtype Returns -------

Check that API for operator opname works as advertised on frame Parameters ---------- opname : string Name of the operator t

Return the bool of a single element PandasObject. This must be a boolean scalar value, either True or False. Raise a ValueE

Convert series to series of this class. The `series` is expected to be an instance of some polynomial series of one of the types supp

Reset the styler, removing any previously applied styles. Returns None.

Returns an array with the number of non-overlapping occurrences of substring `sub` in the range [`start`, `end`]. See also

Compute a simple cross-tabulation of two (or more) factors. By default computes a frequency table of the factors unless an array of values an

Cumulative product for each group.

Return the cumulative product of the array elements over the given axis. Masked values are set to 1 internally during the computatio

Get integer location for requested label Returns ------- loc : int

Make new Index inserting new item at location. Follows Python list.append semantics for negative values. Parameters

Make new Index inserting new item at location Parameters ---------- loc : int item : object if n

Check if the object is an iterator. For example, lists are considered iterators but not strings or datetime objects. Parameters

Check whether the provided array or dtype is of the string dtype. Parameters ---------- arr_or_dtype : array-like The array

Return a (potentially unordered) list of the keys corresponding to the objects stored in the HDFStore. These are ABSOLUTE path-names

Return a boolean mask of the given shape, filled with False. This function returns a boolean ndarray with all entries False, that can be

Mask an array where equal to a given value. This function is a shortcut to ``masked_where``, with `condition` = (x == value). For float

Compute the median along the specified axis. Returns the median of the array elements. Parameters ---------- a : array_like

Minimum value of given dtype.

Compute sum of values, excluding missing values. For multiple groupings, the result index will be a MultiIndex

Open the file in the specified mode Parameters ---------- mode : {'a', 'w', 'r', 'r+'}, default 'a' See

read an array for the specified node (off of group

Read SAS files stored as either XPORT or SAS7BDAT format files. Parameters ---------- filepath_or_buffer : string or file-like objec

Retrieve pandas object stored in file, optionally based on where criteria Parameters ---------- key : object

Superposes arrays fields by fields Parameters ---------- arrays : array or sequence Sequence of input arrays. defaults :

For each element in `self`, return a copy of the string with uppercase characters converted to lowercase and vice versa. See

Convert the DataFrame to a NumPy array. .. versionadded:: 0.24.0 By default, the dtype of the returned array will be the co

Return Timedelta Array/Index as object ndarray of datetime.timedelta objects. Returns ------- datetimes : nd

Returns a view of the mrecarray.

r""" Wide panel to long format. Less flexible but more user-friendly than melt. With stubnames ['A', 'B'], this function expects to find one

The numpy array interface. Returns ------- values : numpy array A numpy array of either the specified dt

Rolling statistical measure using supplied function. Designed to be used with passed-in Cython array-based functions. Parame

test series value's coercion triggered by assignment

Filter out AST nodes that are subclasses of ``superclass``.

Test whether a key is a level reference for a given axis. To be considered a level reference, `key` must be a string that:

Maybe convert a given key to it's equivalent i8 value(s). Used as a preprocessing step prior to IntervalTree queries (self._engine),

Implement forward, reflected and inplace binary methods with a ufunc.

Convert a set of codes for to a new set of categories Parameters ---------- codes : array old_categories, new_categories : Index

Add new categories. `new_categories` will be included at the last/highest place in the categories and will be unused directl

Return an ndarray of indices that sort the array along the specified axis. Masked values are filled beforehand to `fill_valu

Suppress the rows and/or columns of a 2-D array that contain masked values. The suppression behavior is selected with the `axis` paramet

Count non-NA cells for each column or row. The values `None`, `NaN`, `NaT`, and optionally `numpy.inf` (depending on `pandas

Count the non-masked elements of the array along the given axis. Parameters ---------- axis : None or int or tuple o

Extract a diagonal or construct a diagonal array. See the more detailed documentation for ``numpy.diagonal`` if you use this function to