method description append concatenate with additional index objectsproducing new index diff compute set difference as an index intersection compute set intersection union compute set union isin compute boolean array indicating whether each value is contained in the passed collection delete compute new index with element at index deleted drop compute new index by deleting passed values insert compute new index by inserting element at index is_monotonic returns true if each element is greater than or equal to the previous element is_unique returns true if the index has no duplicate values unique compute the array of unique values in the index essential functionality in this sectioni'll walk you through the fundamental mechanics of interacting with the data contained in series or dataframe upcoming will delve more deeply into data analysis and manipulation topics using pandas this book is not intended to serve as exhaustive documentation for the pandas libraryi instead focus on the most important featuresleaving the less common (that ismore esotericthings for you to explore on your own reindexing critical method on pandas objects is reindexwhich means to create new object with the data conformed to new index consider simple example from abovein [ ]obj series([ - ]index=[' '' '' '' ']in [ ]obj out[ ] - calling reindex on this series rearranges the data according to the new indexintroducing missing values if any index values were not already presentin [ ]obj obj reindex([' '' '' '' '' ']in [ ]obj out[ ] - getting started with pandas www it-ebooks info