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How to obtain the absolute numeric value of DataFrame elements
Onyejiaku Theophilus ChidaluOverview
In pandas, we use the abs() function to obtain the absolute numeric values of each element of a DataFrame or a Series object.
We can describe an absolute numeric value as the non-negative value of a number where we ignore its sign. For example, the absolute value of -1 is 1, and the absolute value of -10 is 10.
Syntax
The abs() function takes the syntax shown below:
DataFrame.abs()
Syntax for the abs() function in pandas
Parameter value
The abs() function takes no parameter value.
Return value
The abs() function returns a DataFrame or a Series object with each element’s absolute value in the input data.
Example
# A code to illustrate the abs() function in Pandas
# importing the pandas library
import pandas as pd
# creating a dataframe object
df = pd.DataFrame({
'row1': [1,-2,3,-4,5],
'row2': [6,-7,8,-9,10],
'row3': [-11,12,-13,14,-15]})
# printing the dataframe
print(df)
# obtaining the absolute values of each elements of the dataframe
print(df.abs())Implementing the abs() function
Explanation
- Line 4: We import the pandas library.
- Lines 7–10: We create a
DataFrameobject,df. - Line 13: We print
df. - Line 16: We obtain the absolute values of each element of
dfusing theabs()function, and we print the result to the console.
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Onyejiaku Theophilus ChidaluRELATED COURSES
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