Pandas | How to Count Occurrences For Unique Row Values With Pandas?

In this tutorial, we will learn How to count occurrences for unique row values with pandas which we can perform using a built in function value_counts() which helps in getting the total count and distinct for unique values.



As we know that pandas are a library used for manipulating and analyzing data in a data frame. There are some useful features which are there in pandas that we use for making required changes in our data frames.

  • Data structures: Pandas provides two main data structures, Series and DataFrame, that allow for efficient storage and manipulation of data.
  • Data cleaning: Pandas provides a range of tools for cleaning and pre-processing data, including functions for handling missing or null values, filtering, and transforming data.
  • Data analysis: Pandas provides a range of functions for data analysis, including descriptive statistics, group by operations, merging and joining datasets, and time series analysis.
  • Data visualization: Pandas provides integration with popular visualization libraries like Matplotlib and Seaborn to create visualizations of the data.

so for counting Occurrences for unique row values. Here we have taken an example for the same where a pseudo code is given for finding the unique values.

import pandas as pd

# Create a sample dataframe
df = pd.DataFrame({' fruit': ['apple', 'orange', 'banana', 'apple', 'orange', 'orange']})

# Count the occurrences of unique row values
counts = df ['fruit']. value_ counts()

# Print the counts
print( counts)

In the above code first, we created the sample data frame with a column name fruit and then we run the value counts() method on the fruit column to get the total count of the occurrence of unique values. The result of the count will be given the total count.

And for the result of the above code will be as given below:

orange    3
apple     2
banana    1
Name: fruit, dtype: int64

The count of each element is given here as the result.


To learn more about How to count occurrences for unique row values with pandas visit: Pandas in python and some useful features of it.

To learn more about python problems and solutions along with concepts tutorials visit: How To Pass-Variables From A Java & Python Client To A Linux/Ubuntu Server Which Is Running C?

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