Index.get_duplicates() [source]

Index.astype(dtype, copy=True) [source] Create an Index with values cast to dtypes. The class of a new Index is determined by dtype. When conversion is impossible, a ValueError exception is raised. Parameters: dtype : numpy dtype or pandas type copy : bool, default True By default, astype always returns a newly allocated object. If copy is set to False and internal requirements on dtype are satisfied, the original data is used to create a new Index or the original Index is returned. New

DatetimeIndex.name = None

Series.dt.days Number of days for each element.

pandas.read_sql_query(sql, con, index_col=None, coerce_float=True, params=None, parse_dates=None, chunksize=None) [source] Read SQL query into a DataFrame. Returns a DataFrame corresponding to the result set of the query string. Optionally provide an index_col parameter to use one of the columns as the index, otherwise default integer index will be used. Parameters: sql : string SQL query or SQLAlchemy Selectable (select or text object) to be executed. con : SQLAlchemy connectable(engine

DataFrame.iterkv(*args, **kwargs) [source] iteritems alias used to get around 2to3. Deprecated

Panel4D.groupby(*args, **kwargs) [source]

Index.is_numeric() [source]

DatetimeIndex.is_leap_year Logical indicating if the date belongs to a leap year

DatetimeIndex.is_monotonic_decreasing return if the index is monotonic decreasing (only equal or decreasing) values.