Concatenate strings in the Series/Index with given separator. If `others` is specified, this function concatenates the Series/Index

Return the dot product of two arrays. This function is the equivalent of `numpy.dot` that takes masked values into account. Note that `s

Check whether an array-like or dtype is of the Period dtype. Parameters ---------- arr_or_dtype : array-like The array-like

Render a DataFrame as an HTML table. %(shared_params)s bold_rows : bool, default True Make the row labels bold in

r""" Render an object to a LaTeX tabular environment table. Render an object to a tabular environment table. You can splice t

Read from the store, close it if we opened it. Retrieve pandas object stored in file, optionally based on where criteria Parameters

Modify Panel in place using non-NA values from other Panel. May also use object coercible to Panel. Will align on items. Pa

Return a new Index of the values set with the mask. See Also -------- numpy.ndarray.putmask

Render a string representation of the Series. Parameters ---------- buf : StringIO-like, optional buffer

After regular attribute access, try setting the name This allows simpler access to columns for interactive use.

return the actual filter format

Return test data DataFrame. Parameters ---------- basename : str File base name, excluding file extensi

Bin values into discrete intervals. Use `cut` when you need to segment and sort data values into bins. This function is also useful for

Return DataFrame with duplicate rows removed, optionally only considering certain columns. Parameters ----------

Return the minimum along a given axis. Parameters ---------- axis : {None, int}, optional Axis along whi

Count distinct observations over requested axis. Return Series with number of distinct observations. Can ignore NaN values.

Return the product of array elements over a given axis. See Also -------- prod : equivalent function; see for details.

Roll provided date backward to next offset only if not on offset.

Execute the style functions built up in `self._todo`. Relies on the conventions that all style functions go through .apply o

First discrete difference of element. Calculates the difference of a Series element compared with another element in the Ser

Construct Panel from dict of DataFrame objects. Parameters ---------- data : dict {field : DataFrame}

r""" Compute the histogram of a set of data. Parameters ---------- a : array_like Input data. The histogram is computed over

Take the nth row from each group if n is an int, or a subset of rows if n is a list of ints. If dropna, will take the nth no

Combine list-like of Categorical-like, unioning categories. All categories must have the same dtype. .. versionadded:: 0.19.0 Param

Check that left and right Index are equal. Parameters ---------- left : Index right : Index exact : bool / string {'equiv'}, defa

Print a concise summary of a DataFrame. This method prints information about a DataFrame including the index dtype and colum

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

Return the indices of unmasked elements that are not zero. Returns a tuple of arrays, one for each dimension, containing the

Ensures that argument passed in arg_name is of type bool.

Convert the input to an ndarray, but pass ndarray subclasses through. Parameters ---------- a : array_like Input data, in any for

Returns an array with the number of non-overlapping occurrences of substring `sub` in the range [`start`, `end`]. Calls `str.count` elem

Return DataFrame with requested index / column level(s) removed. .. versionadded:: 0.24.0 Parameters ----------

Convert categorical variable into dummy/indicator variables Parameters ---------- data : array-like, Series, or DataFrame prefix

More flexible, faster check like ``is`` but that works through views. Note: this is *not* the same as ``Index.identical()``, which c

Convert the input to an array. Parameters ---------- a : array_like Input data, in any form that can be converted to an array. T

Alter axes labels. Function / dict values must be unique (1-to-1). Labels not contained in a dict / Series will be left as-i

Returns numpy array of datetime.time. The time part of the Timestamps.

Convert Series to DataFrame. Parameters ---------- name : object, default None The passed name should su

Infer and return an integer array of the values. Parameters ---------- values : 1D list-like dtype : dtype, optional dty

Label-based "fancy indexing" function for DataFrame. Given equal-length arrays of row and column labels, return an array of

Context manager for temporary files. Context manager that returns the path to a closed temporary file. Its parameters are the same as for tem

Return the last row(s) without any NaNs before `where`. The last row (for each element in `where`, if list) without any NaN

Return the mode(s) of the dataset. Always returns Series even if only one value is returned. Parameters ----------

Returns array of indices of the maximum values along the given axis. Masked values are treated as if they had the value fill_value.

Return the Unicode normal form for the strings in the Series/Index. For more information on the forms, see the :func:`unicode

.. warning:: This method does nothing, except raise a ValueError exception. A masked array does not own its data and

Returns the standard deviation of the array elements along given axis. Masked entries are ignored. Refer to `numpy.std` for

Convert the blockmanager data into an numpy array. Parameters ---------- transpose : boolean, default False If Tr

Constructs NDFrame from group with provided name. Parameters ---------- name : object the name of the gr

Return the mask of a masked array, or full boolean array of False. Return the mask of `arr` as an ndarray if `arr` is a `MaskedArray` and

Roll provided date forward to next offset only if not on offset.

Return the elements in the given *positional* indices along an axis. This means that we are not indexing according to actual values

Several array-like containers that should have effectively identical behavior with respect to arithmetic operations.

Calls `str.decode` element-wise. See also -------- char.decode

Return the default fill value for the argument object. The default filling value depends on the datatype of the input array or the type

Synonym for :meth:`DataFrame.fillna` with ``method='ffill'``.

Return numbers spaced evenly on a log scale (a geometric progression). This is similar to `logspace`, but with endpoints specified directly.

Returns value occupying requested label, default to specified missing value if not present. Analogous to dict.get Parameters

Like `find`, but raises `ValueError` when the substring is not found. See also -------- char.index

Combine two masks with the ``logical_or`` operator. The result may be a view on `m1` or `m2` if the other is `nomask` (i.e. False).

Return a new array of given shape and type, filled with ones. Parameters ---------- shape : int or sequence of ints Shape of

Return values at the given quantile over requested axis. Parameters ---------- q : float or array-like, default 0.5

Squeeze 1 dimensional axis objects into scalars. Series or DataFrames with a single element are squeezed to a scalar. DataFr

Check axes has expected number of errorbars Parameters ---------- axes : matplotlib Axes object, or its list-like

Test if DeprecationWarnings are given and raised. This first checks if the function when called gives `num` DeprecationWarnings, afte

A fixture providing the ExtensionDtype to validate.