- Trending Categories
- Data Structure
- Operating System
- C Programming
- Selected Reading
- UPSC IAS Exams Notes
- Developer's Best Practices
- Questions and Answers
- Effective Resume Writing
- HR Interview Questions
- Computer Glossary
- Who is Who
How to remove a group of elements from a pandas series object?
In the pandas series constructor, there is a method called drop() which is used to remove specified rows from the pandas series object. It won’t update the original series object with deleted rows instead of updating the original series object, it will return another series object with the removed rows.
We can use this drop() method on both labeled-based and positional-indexed series objects.
It will raise a Key error if the specified row labels are not found in the index of the series object. We can suppress the errors by setting the errors parameter from raise to ignore. And we have some other parameters labels, axis, level, inplace, and raise.
# import pandas package import pandas as pd # Creating Series objects sr = pd.Series([35, 39, 45, 2, 47, 89, 48, 71, 55, 19]) print('Series object:',sr) # Remove list of elements result = sr.drop([2,4,6]) # display output print(result)
In the following example, we will delete a set of rows from a series object. initially, we have created a pandas Series with a python list of integer values and the index label are auto-created range index values (location-based index values).
Series object: 0 35 1 39 2 45 3 2 4 47 5 89 6 48 7 71 8 55 9 19 dtype: int64 0 35 1 39 3 2 5 89 7 71 8 55 9 19 dtype: int64
We removed a set of rows from the series object “sr” by specifying the index values of elements by using the python list object. In this example, the rows [2,4,6] are removed.
# import pandas package import pandas as pd # Creating Series objects sr = pd.Series([43, 3, 16, 84, 69, 20, 37, 44, 94, 48], index=list("ABCDEFGHIJ")) print('Series object:',sr) # Remove list of elements result = sr.drop(['D', 'E', 'J']) # display output print(result)
In the following example, we have created a pandas Series with a labeled index. And we removed a row named “C” from the series object by sending the label name to the drop() method.
Series object: A 43 B 3 C 16 D 84 E 69 F 20 G 37 H 44 I 94 J 48 dtype: int64 A 43 B 3 C 16 F 20 G 37 H 44 I 94 dtype: int64
We have successfully removed the rows “D”, “E”, “J” from the labeled series object “sr”.
- How to access a group of elements from pandas Series using the .iloc attribute with slicing object?
- How to remove NaN from a Pandas Series?
- How to count the valid elements from a series object in Pandas?
- Accessing elements of a Pandas Series
- How to append elements to a Pandas series?
- How to remove a specified row From the Pandas Series Using Drop() method?
- How to append a pandas Series object to another Series in Python?
- How to create a Pandas series from a python dictionary?
- How to create a series from a list using Pandas?
- Python Pandas - Return a Series containing counts of unique values from Index object
- How to remove rows in a Pandas series with duplicate indices?
- How to retrieve the last valid index from a series object using pandas series.last_valid_index() method?
- How to remove a member from the local group using PowerShell?