Python is a great language for doing data analysis, primarily because of the fantastic ecosystem of data-centric Python packages. Pandas is one of those packages, and makes importing and analyzing data much easier.
While analyzing the data, many times the user wants to see the unique values in a particular column, which can be done using Pandas
To download the CSV file used, Click Here.
Return Type: Numpy array of unique values in that column
Example #1: Using Series.unique()
In this example, unique() method is used to know all type of unique values in Team column.
As shown in the output image, an array with all of the unique values in the column is returned.
Error and Exceptions:
- This method works only on series and not on Data Frames
- As shown in the output, this method includes NULL value as a unique value.
Attention geek! Strengthen your foundations with the Python Programming Foundation Course and learn the basics.
To begin with, your interview preparations Enhance your Data Structures concepts with the Python DS Course.
- Python | pandas.to_markdown() in Pandas
- Add a Pandas series to another Pandas series
- Python | Pandas Index.insert()
- Python | Pandas DatetimeIndex.inferred_freq
- Python | Pandas PeriodIndex.start_time
- Python | Pandas PeriodIndex.week
- Python | Pandas Timestamp.second
- Python | Pandas Series.asobject
- Python | Pandas str.join() to join string/list elements with passed delimiter
- Python | Pandas DataFrame.reset_index()
- Python | Pandas dataframe.notna()
- Python | Pandas PeriodIndex.weekday
- Python | Pandas Series.dt.floor
- Python | Pandas Index.get_slice_bound()
- Python | Pandas Dataframe.duplicated()
- Python | Pandas dataframe.notnull()
- Python | Pandas series.cumprod() to find Cumulative product of a Series
- Use Pandas to Calculate Statistics in Python
- Python | Pandas Timestamp.date
- Python | Pandas Timestamp.ctime
If you like GeeksforGeeks and would like to contribute, you can also write an article using contribute.geeksforgeeks.org or mail your article to email@example.com. See your article appearing on the GeeksforGeeks main page and help other Geeks.
Please Improve this article if you find anything incorrect by clicking on the "Improve Article" button below.