Similar to equals, but check that other comparable attributes are also equal.

Return the product of the array elements over the given axis. Masked elements are set to 1 internally for computation. Refe

Return (maximum - minimum) along the given dimension (i.e. peak-to-peak value). Parameters ---------- axis :

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

Return a subset of the DataFrame's columns based on the column dtypes. Parameters ---------- include, exclude : scal

Return unique values of Series object. Uniques are returned in order of appearance. Hash table-based unique, therefore does

Return a masked array with elements from `x` or `y`, depending on condition. .. note:: When only `condition` is provided, this funct

Return the gradient of an N-dimensional array. The gradient is computed using second order accurate central differences in the interior

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

Return evenly spaced numbers over a specified interval. Returns `num` evenly spaced samples, calculated over the interval [`start`, `sto

r""" Read a table of fixed-width formatted lines into DataFrame. Also supports optionally iterating or breaking of the file into chunks.

Return a matrix of given shape and type, filled with zeros. Parameters ---------- shape : int or sequence of ints Shape of t

Return the indices that sort the array lexicographically. For full documentation see `numpy.argsort`, for which this method is

True if two arrays, left and right, have equal non-NaN elements, and NaNs in corresponding locations. False otherwise. It is assumed that le

Return an object with matching indices as other object. Conform the object to the same index on all axes. Optional filling l

Set the name of the axis for the index or columns. Parameters ---------- mapper : scalar, list-like, optional

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

Check each text has expected labels Parameters ---------- texts : matplotlib Text object, or its list-like

Test if path exists. Test if `path` exists as (and in this order): - a local file. - a remote URL that has been dow

Return True if the codes are lexicographically sorted

Check if the object is a number. Returns True when the object is a number, and False if is not. Parameters ---------- obj : any

Test whether all matrix elements along a given axis evaluate to True. Parameters ---------- See `numpy.all` for comp

Return the cumulative sum of the array elements over the given axis. Masked values are set to 0 internally during the computation.

Return the dtype object of the underlying data.

For each element, return the lowest index in the string where substring `sub` is found. See also -------- ch

Return the data of a masked array as an ndarray. Return the data of `a` (if any) as an ndarray if `a` is a ``MaskedArray``, else return

Maximum value of given dtype.

Append a new recording filter or apply it if the state is entered. All warnings matching will be appended to the ``log`` attribute.

Set StringConverter attributes directly. Parameters ---------- func : function Conversion function.

Return a view of myself. For internal compatibility with numpy arrays. Returns ------- view : Categorical

Accumulate `target` along `axis` after filling with y fill value.

Invoke function on values of Series. Can be ufunc (a NumPy function that applies to the entire Series) or a Python function

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

Return the character for the minimum-size type to which given types can be safely cast. The returned type character must represent the s

Convert argument to a numeric type. The default return dtype is `float64` or `int64` depending on the data supplied. Use the `downcast`

Convert to SparseDataFrame. Implement the sparse version of the DataFrame meaning that any data matching a specific value it

Find the unique elements of an array. Returns the sorted unique elements of an array. There are three optional outputs in addition to th

Check for a branch cut in a function. Assert that `x0` lies on a branch cut of function `f` and `f` is continuous from the direction `dx

We require that we have a dtype compat for the values. If we are passed a non-dtype compat, then coerce using the constructor.

Return array of indices to the minimum values along the given axis. Parameters ---------- axis : {None, integer}

Asserts that two records are equal. Pretty crude for now.

support fully deleting the node in its entirety (only) - where specification must be None

Alias for index.

Perform an asof merge. This is similar to a left-join except that we match on nearest key rather than equal keys. Both DataFrames must be sor

Set new levels on MultiIndex. Defaults to returning new index. Parameters ---------- levels : sequence or li

Convert Series to SparseSeries. Parameters ---------- kind : {'block', 'integer'} fill_value : float, defaul

Create a new view of the Series. This function will return a new Series with a view of the same underlying values in memory,

Return a html representation for a particular DataFrame. Mainly for IPython notebook.

Return a new matrix of given shape and type, without initializing entries. Parameters ---------- shape : int or tuple of int Shap

Determines if two Index objects contain the same elements.

Mask an array where a condition is met. Return `a` as an array masked where `condition` is True. Any masked values of `a` or `condition`

Return a matrix of random values with given shape. Create a matrix of the given shape and propagate it with random samples from a unifor

Sets the categories to the specified new_categories. `new_categories` can include new categories (which will result in unuse

Return DateOffset object from string or tuple representation or datetime.timedelta object Parameters ---------- freq : str, tupl

Exponential weighted moving variance.

Convert the DataFrame in `self.data` and the attrs from `_build_styles` into a dictionary of {head, body, uuid, cellstyle}.

Checks that 'np.ndarray' is equivalent Parameters ---------- left : np.ndarray or iterable right : np.ndarray or iterable strict

copy constructor

Calculate the n-th discrete difference along the given axis. The first difference is given by ``out[n] = a[n+1] - a[n]`` along the given

Return an int representing the number of axes / array dimensions. Return 1 if Series. Otherwise return 2 if DataFrame. See

Converts input into a pandas only dtype object or a numpy dtype object. Parameters ---------- dtype : object to be converted Re