Return boolean Series denoting duplicate rows, optionally only considering certain columns. Parameters ----------

Determines if two MultiIndex objects have the same labeling information (the levels themselves do not necessarily have to be the same

Least squares fit to data. Return a series instance that is the least squares fit to the data `y` sampled at `x`. The domain of the r

Construct a DataFrame from a list of tuples. .. deprecated:: 0.23.0 `from_items` is deprecated and will be removed in a fu

Reads lines from Stata file and returns as dataframe Parameters ---------- size : int, defaults to None

Obtain the reference data from read_csv with the Python engine. Parameters ---------- basename : str Fi

converts intervals in breaks format to a dictionary of kwargs to specific to the format expected by IntervalIndex.from_arrays

return an internal format, currently just the ndarray this is often overridden to handle to_dense like operations

like isnan, but always raise an error if type not supported instead of returning a TypeError object. Notes ----- isnan and other ufun

return a list of all the top-level nodes (that are not themselves a pandas storage object)

Force the mask to hard. Whether the mask of a masked array is hard or soft is determined by its `hardmask` property. `harden

Compute the bi-dimensional histogram of two data samples. Parameters ---------- x : array_like, shape (N,) An array containi

Returns a curve with holidays between start_date and end_date Parameters ---------- start : starting date, datetime-

Test whether each element of an array is also present in a second array. The output is always a masked array. See `numpy.in1d` for more

Find the intersection of two arrays. Return the sorted, unique values that are in both of the input arrays. Parameters ----------

Check if the object is array-like. For an object to be considered array-like, it must be list-like and have a `dtype` attribute. Pa

Check whether an array-like is a Categorical instance. Parameters ---------- arr : array-like The array-like to check.

Return True if more than one block with the same dtype

Check whether the provided array or dtype is of a timedelta64 or datetime64 dtype. Parameters ---------- arr_or_dtype : array-li

Return True if hash(obj) will succeed, False otherwise. Some types will pass a test against collections.Hashable but fail when they are actua

Return the mapping parameters. The returned values define a linear map ``off + scl*x`` that is applied to the input arguments before

Return the minimum value that can be represented by the dtype of an object. This function is useful for calculating a fill value suitable fo

Return coordinate matrices from coordinate vectors. Make N-D coordinate arrays for vectorized evaluations of N-D scalar/vector fields ov

Return the maximum value that can be represented by the dtype of an object. This function is useful for calculating a fill value suitable fo

Return a dtype compat na value Parameters ---------- dtype : string / dtype compat : boolean, default True Returns ----

Generate an instance of some FCompiler subclass for the supplied platform/compiler combination.

Apply glob to paths and prepend local_path if needed. Applies glob.glob(...) to each path in the sequence (if needed) and pre-pends t

Add one polynomial to another. Returns the sum of two polynomials `c1` + `c2`. The arguments are sequences of coefficients from lowest

Multiply a polynomial by x. Multiply the polynomial `c` by x, where x is the independent variable. Parameters ---------- c : ar

Returns element-wise base array raised to power from second array. This is the masked array version of `numpy.power`. For details see `n

Return the real value of vector.

Removes categories which are not used. Parameters ---------- inplace : boolean (default: False) Whether o

Reorders categories as specified in new_categories. `new_categories` need to include all old categories and no new category

Reset the option store to its initial state Returns ------- None

Retrieve pandas objects from multiple tables Parameters ---------- keys : a list of the tables selector : the table

Set the filling value of the masked array. Parameters ---------- value : scalar, optional The new fillin

For an ordered MultiIndex, compute the slice locations for input labels. The input labels can be tuples representing partial

Return a sorted copy of the index. Return a sorted copy of the index, and optionally return the indices that sorted the inde

Construct an array by repeating A the number of times given by reps. If `reps` has length ``d``, the result will have dimension of ``max

Convert the PandasArray to a :class:`numpy.ndarray`. By default, this requires no coercion or copying of data. Parameters

Integrate along the given axis using the composite trapezoidal rule. Integrate `y` (`x`) along given axis. Parameters ----------

Returns the shape of the arrays that would result from broadcasting the supplied arrays against each other.

Check each axes has identical lines Parameters ---------- xp : matplotlib Axes object rs : matplotlib Axes o

A convenience function for operations that want to collapse to a scalar like _align, but are using keepdims=True

Get file handle for given path/buffer and mode. Parameters ---------- path_or_buf : a path (str) or buffer mode : str

Get my plane axes indexes: these are already (as compared with higher level planes), as we are returning a DataFrame axes.

See if we need to update our parent cacher if clear, then clear our cache. Parameters ---------- clear : boo

allow_dups indicates an internal call here

Setup our binners. Cache these as we are an immutable object

Construct from an IntervalArray Parameters ---------- array : IntervalArray name : str Attached

Return a dict of dtype -> Constructor Types that each is a homogeneous dtype. Internal ONLY

wrap our results if needed

Add data files to configuration data_files. Parameters ---------- files : sequence Argument(s) can be either

Add paths to configuration include directories. Add the given sequence of paths to the beginning of the include_dirs list. This list

Add a temporary variable to the scope. Parameters ---------- value : object An arbitrary object to be assigned to

Draw a stacked area plot. An area plot displays quantitative data visually. This function wraps the matplotlib area function

Convert the input to a masked array, conserving subclasses. If `a` is a subclass of `MaskedArray`, its class is conserved. No copy is pe

Make a horizontal bar plot. A horizontal bar plot is a plot that presents quantitative data with rectangular bars with lengt

Create a Table schema from ``data``. Parameters ---------- data : Series, DataFrame index : bool, default True Whether t

If static or shared libraries are available then return their info dictionary. Checks for all libraries as shared libraries first, th

Use an index array to construct a new array from a set of choices. Given an array of integers and a set of n choice arrays, this method

Calculate holidays observed between start date and end date Parameters ---------- start_date : starting date, dateti

Return a new array with sub-arrays along an axis deleted. For a one dimensional array, this returns those entries not returned by `arr[ob

Compute the differences between consecutive elements of an array. This function is the equivalent of `numpy.ediff1d` that takes masked v

Return the distutils distribution object for self.

Return the youngest subclass of MaskedArray from a list of (masked) arrays. In case of siblings, the first listed takes over.