Series.dt.components Return a dataframe of the components (days, hours, minutes, seconds, milliseconds, microseconds, nanoseconds) of the Timedeltas. Returns: a DataFrame

Series and Index are equipped with a set of string processing methods that make it easy to operate on each element of the array. Perhaps most importantly, these methods exclude missing/NA values automatically. These are accessed via the str attribute and generally have names matching the equivalent (scalar) built-in string methods: In [1]: s = pd.Series(['A', 'B', 'C', 'Aaba', 'Baca', np.nan, 'CABA', 'dog', 'cat']) In [2]: s.str.lower() Out[2]: 0 a 1 b 2 c 3 aaba 4 ba

MultiIndex.has_duplicates

DatetimeIndex.groupby(values) [source] Group the index labels by a given array of values. Parameters: values : array Values used to determine the groups. Returns: groups : dict {group name -> group labels}

Series.is_monotonic_decreasing Return boolean if values in the object are monotonic_decreasing New in version 0.19.0. Returns: is_monotonic_decreasing : boolean

MultiIndex.is_object() [source]

DatetimeIndex.names

Series.dt.year The year of the datetime

TimedeltaIndex.equals(other) [source] Determines if two Index objects contain the same elements.

DataFrame.pop(item) [source] Return item and drop from frame. Raise KeyError if not found.