Return Datetime Array/Index as object ndarray of datetime.datetime objects Returns ------- datetimes : ndarr

Draw one histogram of the DataFrame's columns. A histogram is a representation of the distribution of data. This function gr

Form the intersection of two Index objects. This returns a new Index with elements common to the index and `other`. Paramet

Return the first element of the underlying data as a python scalar.

Remove pandas object partially by specifying the where condition Parameters ---------- key : string Node

Interchange axes and swap values axes appropriately. Returns ------- y : same as input

Return slice of panel along selected axis. Parameters ---------- key : object Label axis : {'ite

Append rows of `other` to the end of caller, returning a new object. Columns in `other` that are not in the caller are added as new

Checks the elementwise equality of two masked arrays.

Return a new Index with elements from the index that are not in `other`. This is the set difference of two Index objects.

Add a new suppressing filter or apply it if the state is entered. Parameters ---------- category : class, optional

Write the contained data to an HDF5 file using HDFStore. Hierarchical Data Format (HDF) is self-describing, allowing an appl

Partition each element in `self` around `sep`. See also -------- partition

Sum of array elements over a given axis. Parameters ---------- a : array_like Elements to sum. axis : None or int or tup

Return value at the given quantile. Parameters ---------- q : float or array-like, default 0.5 (50% quantile)

Convert Series from DatetimeIndex to PeriodIndex with desired frequency (inferred from index if not passed). Parameters

Return a fixed frequency IntervalIndex Parameters ---------- start : numeric or datetime-like, default None Left bound for g

Convert argument to timedelta. Timedeltas are absolute differences in times, expressed in difference units (e.g. days, hours, minutes, s

Check if an object is a pandas extension array type. See the :ref:`Use Guide <extending.extension-types>` for more. Parameters ----

Ensure that we have an index from some index-like object. Parameters ---------- index : sequence An Index or other sequence

Exponential weighted sample covariance.

Check whether an array-like or dtype is of the timedelta64 dtype. Parameters ---------- arr_or_dtype : array-like The array-

Applies the `put` method to its `values` attribute if it has one. See Also -------- numpy.ndarray.put

Convert a JSON string to pandas object. Parameters ---------- path_or_buf : a valid JSON string or file-like, default: None

Check if two dtypes are equal. Parameters ---------- source : The first dtype to compare target : The second dtype to compare

Merge holiday calendars together. The caller's class rules take precedence. The merge will be done based on each holiday's

Get the path to a data file. Parameters ---------- path : str Path to the file, relative to ``pandas/tests/`` Returns --

Pack object `o` and return packed bytes See :class:`Packer` for options.

Overrides ndarray.argsort. Argsorts the value, omitting NA/null values, and places the result in the same locations as the non-NA val

Return a fixed frequency DatetimeIndex, with business day as the default frequency Parameters ---------- start : string or datet

Transforms the mvoid object into a tuple. Masked fields are replaced by None. Returns ------- returned_tuple Tuple of f

Evaluate a Python expression as a string using various backends. The following arithmetic operations are supported: ``+``, ``-``, ``*``, ``/`

Return the flattened underlying data as an ndarray. See Also -------- numpy.ndarray.ravel

Convert to Index using specified date_format. Return an Index of formatted strings specified by date_format, which supports

Returns a boolean array which is `True` where the string element in `self` ends with `suffix`, otherwise `False`. See also

Simple passthrough to SQLAlchemy connectable

Check whether the provided array or dtype is of a float dtype. This function is internal and should not be exposed in the public API. P

Returns the variance of the array elements along given axis. Masked entries are ignored, and result elements which are not f

Apply a function along an axis of the DataFrame. Objects passed to the function are Series objects whose index is either the

Construct BlockManager from string description. String description syntax looks similar to np.matrix initializer. It looks like this::

Convert structured or record ndarray to DataFrame. Parameters ---------- data : ndarray (structured dtype), list of

Check whether an array-like or dtype is of the datetime64 dtype. Parameters ---------- arr_or_dtype : array-like The array-l

Matrix or vector norm. This function is able to return one of eight different matrix norms, or one of an infinite number of vector norms

return essentially a named temporary file that is not opened and deleted on existing; if path is a list, then create and return list of f

Return input as an array with masked data replaced by a fill value. If `a` is not a `MaskedArray`, `a` itself is returned. If `a` is a `

Convenience method for subsetting initial periods of time series data based on a date offset. Parameters ----------

Take values according to indexer and return them as a block.bb

Return absolute path of file in the DataSource directory. If `path` is an URL, then `abspath` will return either the location

Return Series as ndarray or ndarray-like depending on the dtype. .. warning:: We recommend using :attr:`Series.array` or

Returns numpy array of python datetime.date objects (namely, the date part of Timestamps without timezone information).

Drop specified labels from rows or columns. Remove rows or columns by specifying label names and corresponding axis, or by s

Attempt to infer better dtype for object columns Parameters ---------- datetime : boolean, default False

Convert the input to a masked array of the given data-type. No copy is performed if the input is already an `ndarray`. If `a` is a subcl

Return counts of unique dtypes in this object. Returns ------- dtype : Series Series with the count of c

Set Index or MultiIndex name. Able to set new names partially and by level. Parameters ---------- names : l

Export DataFrame object to Stata dta format. Writes the DataFrame to a Stata dataset file. "dta" files contain a Stata datas

Cumulative sum for each group.

Make a Categorical type from codes and categories or dtype. This constructor is useful if you already have codes and categor

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

Pads an array. Parameters ---------- array : array_like of rank N Input array pad_width : {sequence, array_like, int}

Reset the index, or a level of it. Reset the index of the DataFrame, and use the default one instead. If the DataFrame has a

Render a DataFrame to a console-friendly tabular output. %(shared_params)s line_width : int, optional Width to wr

Truncate a Series or DataFrame before and after some index value. This is a useful shorthand for boolean indexing based on index

Join columns of another DataFrame. Join columns with `other` DataFrame either on index or on a key column. Efficiently join

Return an array with the elements of `self` converted to uppercase. See also -------- char.upper

Exponential weighted sample correlation.

Generate descriptive statistics that summarize the central tendency, dispersion and shape of a dataset's distribution, excluding

Indicate duplicate Series values. Duplicated values are indicated as ``True`` values in the resulting Series. Either all dup

Return a flattened copy of the matrix. All `N` elements of the matrix are placed into a single row. Parameters ----