MultiIndex.is_monotonic alias for is_monotonic_increasing (deprecated)

MultiIndex.equal_levels(other) [source] Return True if the levels of both MultiIndex objects are the same

Panel4D.reindex_axis(labels, axis=0, method=None, level=None, copy=True, limit=None, fill_value=nan) [source] Conform input object to new index with optional filling logic, placing NA/NaN in locations having no value in the previous index. A new object is produced unless the new index is equivalent to the current one and copy=False Parameters: labels : array-like New labels / index to conform to. Preferably an Index object to avoid duplicating data axis : {0, 1, 2, ?items?, ?major_axis?,

Series.dt.is_year_start Logical indicating if first day of year (defined by frequency)

DataFrame.get(key, default=None) [source] Get item from object for given key (DataFrame column, Panel slice, etc.). Returns default value if not found. Parameters: key : object Returns: value : type of items contained in object

Series.get_ftype_counts() [source] Return the counts of ftypes in this object.

CategoricalIndex.get_slice_bound(label, side, kind) [source] Calculate slice bound that corresponds to given label. Returns leftmost (one-past-the-rightmost if side=='right') position of given label. Parameters: label : object side : {?left?, ?right?} kind : {?ix?, ?loc?, ?getitem?}

CategoricalIndex.repeat(n, *args, **kwargs) [source] Repeat elements of an Index. Refer to numpy.ndarray.repeat for more information about the n argument. See also numpy.ndarray.repeat

pandas.io.gbq.read_gbq(query, project_id=None, index_col=None, col_order=None, reauth=False, verbose=True, private_key=None, dialect='legacy') [source] Load data from Google BigQuery. THIS IS AN EXPERIMENTAL LIBRARY The main method a user calls to execute a Query in Google BigQuery and read results into a pandas DataFrame. Google BigQuery API Client Library v2 for Python is used. Documentation is available at https://developers.google.com/api-client-library/python/apis/bigquery/v2 Authentic

MultiIndex.delete(loc) [source] Make new index with passed location deleted Returns: new_index : MultiIndex