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.
dataframe.abs() is one of the simplest pandas dataframe function. It returns an object with absolute value taken and it is only applicable to objects that are all numeric. It does not work with any Nan value either.
abs() function can also be used with complex numbers to find their absolute value.
For complex numbers, the absolute value is defined as:
Syntax: DataFrame.abs() Returns: type of caller
For link to CSV file Used in Code, click here
Example #1: Replace team “Boston Celtics” with “Omega Warrior” in the nba.csv file
In order to find the absolute value, we also need to have negative values in the dataframe. So, let’s change some values to be negative for the demonstration purpose.
Now let’s use
abs() function to find only the absolute value of the Number column.
Example #2: Applying
abs() on a series with complex numbers.
- Python | pandas.map()
- Python | Pandas Series.str.contains()
- Python | Pandas dataframe.mul()
- Python | Pandas DataFrame.loc
- Python | Pandas Series.mod()
- Python | Pandas Series.sem()
- Python | Pandas dataframe.ne()
- Python | Pandas Series.dt.day
- Python | Pandas.apply()
- Python | Pandas Series.str.pad()
- Python | Pandas Index.max()
- Python | Pandas dataframe.min()
- Python | Pandas Series.dt.second
- Python | Pandas dataframe.sum()
- Python | Pandas dataframe.mod()
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.