pandas.read_html(io, match='.+', flavor=None, header=None, index_col=None, skiprows=None, attrs=None, parse_dates=False, tupleize_cols=False, thousands=', ', encoding=None, decimal='.', converters=None, na_values=None, keep_default_na=True) [source] Read HTML tables into a list of DataFrame objects. Parameters: io : str or file-like A URL, a file-like object, or a raw string containing HTML. Note that lxml only accepts the http, ftp and file url protocols. If you have a URL that starts wi

Index.max() [source] The maximum value of the object

Series.dt.to_pytimedelta() [source]

Series.dt.is_month_end Logical indicating if last day of month (defined by frequency)

DataFrame memory usage As of pandas version 0.15.0, the memory usage of a dataframe (including the index) is shown when accessing the info method of a dataframe. A configuration option, display.memory_usage (see Options and Settings), specifies if the dataframe?s memory usage will be displayed when invoking the df.info() method. For example, the memory usage of the dataframe below is shown when calling df.info(): In [1]: dtypes = ['int64', 'float64', 'datetime64[ns]', 'timedelta64[ns]', ..

Series.get_values() [source] same as values (but handles sparseness conversions); is a view

MultiIndex.view(cls=None) [source] this is defined as a copy with the same identity

DatetimeIndex.strides return the strides of the underlying data

CategoricalIndex.hasnans = None

TimedeltaIndex.resolution = None