Remote Data Access

DataReader The sub-package pandas.io.data is removed in favor of a separately installable pandas-datareader package. This will allow the data modules to be independently updated to your pandas installation. The API for pandas-datareader v0.1.1 is the same as in pandas v0.16.1. (GH8961) You should replace the imports of the following: from pandas.io import data, wb With: from pandas_datareader import data, wb Google Analytics The ga module provides a wrapper for Google Analytics API to s

Series.axes

Series.axes Return a list of the row axis labels

CategoricalIndex.strides

CategoricalIndex.strides return the strides of the underlying data

Index.itemsize

Index.itemsize return the size of the dtype of the item of the underlying data

Installation

The easiest way for the majority of users to install pandas is to install it as part of the Anaconda distribution, a cross platform distribution for data analysis and scientific computing. This is the recommended installation method for most users. Instructions for installing from source, PyPI, various Linux distributions, or a development version are also provided. Python version support Officially Python 2.7, 3.4, 3.5, and 3.6 Installing pandas Trying out pandas, no installation required

Panel.blocks

Panel.blocks Internal property, property synonym for as_blocks()

Series.ftype

Series.ftype return if the data is sparse|dense

DatetimeIndex.tz

DatetimeIndex.tz = None

Series.to_json()

Series.to_json(path_or_buf=None, orient=None, date_format='epoch', double_precision=10, force_ascii=True, date_unit='ms', default_handler=None, lines=False) [source] Convert the object to a JSON string. Note NaN?s and None will be converted to null and datetime objects will be converted to UNIX timestamps. Parameters: path_or_buf : the path or buffer to write the result string if this is None, return a StringIO of the converted string orient : string Seriesdefault is ?index? allowed val

DataFrame.sample()

DataFrame.sample(n=None, frac=None, replace=False, weights=None, random_state=None, axis=None) [source] Returns a random sample of items from an axis of object. New in version 0.16.1. Parameters: n : int, optional Number of items from axis to return. Cannot be used with frac. Default = 1 if frac = None. frac : float, optional Fraction of axis items to return. Cannot be used with n. replace : boolean, optional Sample with or without replacement. Default = False. weights : str or nda