Pandas series is a One-dimensional ndarray with axis labels. The labels need not be unique but must be a hashable type. The object supports both integer- and label-based indexing and provides a host of methods for performing operations involving the index.
Pandas
Series.append() function is used to concatenate two or more series object.
Syntax: Series.append(to_append, ignore_index=False, verify_integrity=False)
Parameter :
to_append : Series or list/tuple of Series
ignore_index : If True, do not use the index labels.
verify_integrity : If True, raise Exception on creating index with duplicates
Returns : appended : Series
Example #1: Use
Series.append() function to append the passed series object at the end of this series object.
Output :
City 1 New York
City 2 Chicago
City 3 Toronto
City 4 Lisbon
City 5 Rio
dtype: object
City 6 Chicage
City 7 Shanghai
City 8 Beijing
City 9 Jakarta
City 10 Seoul
dtype: object
Now we will use
Series.append() function to append sr2 at the end of sr1 series.
Output :
City 1 New York
City 2 Chicago
City 3 Toronto
City 4 Lisbon
City 5 Rio
City 6 Chicage
City 7 Shanghai
City 8 Beijing
City 9 Jakarta
City 10 Seoul
dtype: object
As we can see in the output, the
Series.append() function has successfully append the sr2 object at the end of sr1 object.
Example #2: Use
Series.append() function to append the passed series object at the end of this series object. Ignore the original index of the two series objects.
Output :
City 1 New York
City 2 Chicago
City 3 Toronto
City 4 Lisbon
City 5 Rio
dtype: object
City 6 Chicage
City 7 Shanghai
City 8 Beijing
City 9 Jakarta
City 10 Seoul
dtype: object
Now we will use
Series.append() function to append sr2 at the end of sr1 series. We are going to ignore the index of the given series object.
Output :
0 New York
1 Chicago
2 Toronto
3 Lisbon
4 Rio
5 Chicage
6 Shanghai
7 Beijing
8 Jakarta
9 Seoul
dtype: object
As we can see in the output, the
Series.append() function has successfully append the sr2 object at the end of sr1 object and it has also ignored the index.