Construct a new PeriodArray from a sequence of Period scalars. Parameters ---------- data : Sequence of Period objects A seq

r""" Assign new columns to a DataFrame. Returns a new object with all original columns in addition to new ones. Existing colu

Trim values at input threshold(s). Assigns values outside boundary to boundary values. Thresholds can be singular values or

notfound_action: 0 - do nothing 1 - display warning message 2 - raise error

For each element in `self`, return a list of the lines in the element, breaking at line boundaries. See also -------

Return a possibly reshaped matrix. Refer to `numpy.squeeze` for more documentation. Parameters ---------- a

Transform long (stacked) format (DataFrame) into wide (3D, Panel) format. .. deprecated:: 0.20.0 Currently the inde

Used when a manipulation result has the same dimensions as the original.

Apply a function to a Dataframe elementwise. This method applies a function that accepts and returns a scalar to every eleme

Estimate a covariance matrix, given data and weights. Covariance indicates the level to which two variables vary together. If we examine

Return values for selected item (ndarray or BlockManager).

Insert column into DataFrame at specified location. Raises a ValueError if `column` is already contained in the DataFrame, u

Open and return file-like object. If `path` is an URL, it will be downloaded, stored in the `DataSource` directory and opene

Convert Series to {label -> value} dict or dict-like object. Parameters ---------- into : class, default dict

Return a ndarray of the maximum argument indexer. Parameters ---------- axis : {None} Dummy argument for

Return a ndarray of the minimum argument indexer. Parameters ---------- axis : {None} Dummy argument for

Concatenate a sequence of arrays along the given axis. Parameters ---------- arrays : sequence of array_like The arrays must

Compute the dot product between the Series and the columns of other. This method computes the dot product between the Series and ano

Insert values along the given axis before the given indices. Parameters ---------- arr : array_like Input array. obj : i

provide compat for construction of strings to numpy datetime64's with tz-changes in 1.11 that make '2015-01-01 09:00:00Z' show a deprecation

Create a scatter plot with varying marker point size and color. The coordinates of each point are defined by two dataframe columns a

Swap levels i and j in a MultiIndex. Parameters ---------- i, j : int, string (can be mixed) Level of in

Localize tz-naive Datetime Array/Index to tz-aware Datetime Array/Index. This method takes a time zone (tz) naive Datetime A

Close the PyTables file handle

Combine Series values, choosing the calling Series's values first. Parameters ---------- other : Series

Compute the multidimensional histogram of some data. Parameters ---------- sample : (N, D) array, or (D, N) array_like The d

Create a boolean mask from an array. Return `m` as a boolean mask, creating a copy if necessary or requested. The function can accept an

(this docstring should be overwritten)

construct an object for the given shape if value is specified use that if its a scalar if value is an array, repeat it as nee

Create a view into the array with the given shape and strides. .. warning:: This function has to be used with extreme care, see notes.

Checks the elementwise equality of two masked arrays.

Convert inputs to arrays with at least one dimension. Scalar inputs are converted to 1-dimensional arrays, whilst higher-dimensional inp

return the storer object for a key, raise if not in the file

return an internal format, currently just the ndarray this should be the pure internal API format

Return an int representing the number of elements in this object. Return the number of rows if Series. Otherwise return the number o

Pivot a level of the (necessarily hierarchical) index labels, returning a DataFrame having a new level of column labels whose inner-m

search order for local (i.e., @variable) variables: scope, key_variable [('locals', 'local_name'), ('globals', 'loc

Set the mask.

Read HTML file from formats data directory. Parameters ---------- datapath : pytest fixture The datapath fixture injected in

Return a 2-D array with ones on the diagonal and zeros elsewhere. Parameters ---------- N : int Number of rows in the output.

Returns True if categoricals are the same dtype same categories, and same ordered Parameters ---------- ot

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

Return the function applied to the outer product of a and b.

Modify Block in-place with new item value Returns ------- None

Compute the square root of x. For negative input elements, a complex value is returned (unlike `numpy.sqrt` which returns NaN). Par

Private function validating the given `fill_value` for the given dtype. If fill_value is None, it is set to the default corresponding to the

Check each axes has expected tick properties Parameters ---------- axes : matplotlib Axes object, or its list-like

Return an attributes dict for my class.

Remove missing values. See the :ref:`User Guide <missing_data>` for more on which values are considered missing, and how to

Return the row label of the maximum value. If multiple values equal the maximum, the first row label with that value is retu

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

Iterate over DataFrame rows as namedtuples. Parameters ---------- index : bool, default True If True, re

Convert naive time to local time

Construct a dtype description list from a given dtype. Returns a new dtype object, with the type of all fields in `ndtype` to a boolean

Forward fill the values. Parameters ---------- limit : integer, optional limit of how many values to fil

Round a DataFrame to a variable number of decimal places. Parameters ---------- decimals : int, dict, Series

if we have bytes, decode them to unicode

Tests whether at least one of elements evaluate True Returns ------- any : bool See Also --------

Select values between particular times of the day (e.g., 9:00-9:30 AM). By setting ``start_time`` to be later than ``end_time``,