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

Convert `bytes` in the encoding used by a subprocess into a filesystem-appropriate `str`. Inherited from `exec_command`, and possibly incorr

Fill NA/NaN values using the specified method. Parameters ---------- value : scalar, dict, Series, or DataFrame

Force all buffered modifications to be written to disk. Parameters ---------- fsync : bool (default False)

Creates a MaskedRecords from a list of records. Parameters ---------- reclist : sequence A list of records. Each element of

Generates a sequence of dates corresponding to the specified time offset. Similar to dateutil.rrule except uses pandas DateOffset objects

Produce a list of name/dtype pairs corresponding to the dtype fields Similar to dtype.descr, but the second item of each tuple is a dtype, n

For the particular label_list, gets the offsets into the hypothetical list representing the totally ordered cartesian product of all possible

return the node with the key or None if it does not exist

Detect terminal size and return tuple = (width, height). Only to be used when running in a terminal. Note that the IPython notebook, IPy

Determines C type

Returns true if the ``label_flags`` indicate there is at least one label for this level. if the minimum view limit is not an exact integ

Hash an MultiIndex / list-of-tuples efficiently .. versionadded:: 0.20.0 Parameters ---------- vals : MultiIndex, list-of-tuple

One-dimensional linear interpolation. Returns the one-dimensional piecewise linear interpolant to a function with given discrete data po

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

Returns true for each element if all characters in the string are alphanumeric and there is at least one character, false oth

Returns true for each element if all characters in the string are alphabetic and there is at least one character, false other

Returns true for each element if all cased characters in the string are lowercase and there is at least one cased character,

Iterate over (label, values) on info axis This is index for Series, columns for DataFrame, major_axis for Panel, and so on.

Compute the natural logarithm of `x`. Return the "principal value" (for a description of this, see `numpy.log`) of :math:`log_e(x)`. For

Map values using input correspondence (a dict, Series, or function). Maps the values (their categories, not the codes) of the index

Return the month names of the DateTimeIndex with specified locale. .. versionadded:: 0.23.0 Parameters ----------

Compute the dot product of two or more arrays in a single function call, while automatically selecting the fastest evaluation order. `mu

Replace NaN with zero and infinity with large finite numbers. If `x` is inexact, NaN is replaced by zero, and infinity and -infinity rep

Find the indices of the first and last unmasked values along an axis. If all values are masked, return None. Otherwise, return a list o

Remove *key* from maps[0] and return its value. Raise KeyError if *key* not in maps[0].

Conform %(klass)s to new index with optional filling logic, placing NA/NaN in locations having no value in the previous index. A new

Create index with target's values (move/add/delete values as necessary) Returns ------- new_index : pd.Index

Parameters ---------- new_axis : Index indexer : ndarray of int64 or None axis : int fill_value : obj

Resolve a variable name in a possibly local context Parameters ---------- key : text_type A variable name

r""" Copy object to the system clipboard. Write a text representation of object to the system clipboard. This can be pasted i

Write a DataFrame to the binary parquet format. .. versionadded:: 0.21.0 This function writes the dataframe as a `parquet f

Return an xarray object from the pandas object. Returns ------- xarray.DataArray or xarray.Dataset Data

Return a datetime64[ns] dtype appropriate for the given timezone. Parameters ---------- tz : tzinfo or None Returns -------

Verify that a dispatcher function has the right signature.

Add in logical methods to disable.

guarantee the shape of the values to be at least 1 d

Faster check for ``name in self`` when we know `name` is a Python identifier (e.g. in NDFrame.__getattr__, which hits this to support

Check a multi index item getting and simple setting. Parameters ---------- arr : ndarray Array to be indexed, mus

Decode bytes from binary input streams. Defaults to decoding from 'latin1'. That differs from the behavior of np.compat.asunicode that decode

return a new extended blocks, givin the result

Convert `x` to complex if it has real, negative components. Otherwise, output is just the array version of the input (via asarray). Paramete

Flatten axes, and filter only visible Parameters ---------- axes : matplotlib Axes object, or its list-like

Return vector of label values for requested level, equal to the length of the index **this is an internal method**

Returns an index containing unique values. Parameters ---------- dropna : bool If True, NaN values are d

sub-classes to define return a sliced object Parameters ---------- key : string / list of selections

Test whether a key is a label reference for a given axis. To be considered a label reference, `key` must be a string that:

Internal method for directly updating the CategoricalDtype Parameters ---------- dtype : CategoricalDtype N

Create a new Index inferring the class with passed value, don't copy the data, use the same object attributes with passed in attribut

we require the we have a dtype compat for the values if we are passed a non-dtype compat, then coerce using the constructor

reverse of try_coerce_args

Update the state of the Styler. Collects a mapping of {index_label: ['<property>: <value>']}. attrs : Series or DataFrame