Pandas nunique

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Learn the fundamentals of Data Science with this free course. A DataFrame is a commonly used 2-dimensional data structure. It is a table that consists of columns and rows, and is used primarily as an object in the pandas library. A DataFrame can be formed as shown below. The nunique function counts the number of unique entries in a column of a dataframe.

Pandas nunique

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. Pandas dataframe. If we set the value of the axis to 0, then it finds the total number of unique observations over the index axis. If we set the value of the axis to 1, then it finds the total number of unique observations over the column axis. It also provides the feature to exclude the NaN values from the count of unique numbers. Example 1: Use nunique function to find the number of unique values over the column axis. As we can see in the output, the function prints the total no. Example 2: Use nunique function to find the number of unique values over the index axis in a Dataframe. The Dataframe contains NaN values.

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Being able to understand how to work with unique values is an important skill for a data scientist or data engineer of any skill level. You can use the Pandas. The values are returned in order of appearance and are unsorted. This guide will teach you the ins and outs of working with unique data in a Pandas DataFrame. The unique method in Pandas does not actually have any parameters itself. Instead, it is a Series-level function applied on a DataFrame column without any input parameters. When applied to a specific column of a DataFrame, it returns an array of unique values present in that column.

Pandas nunique

You can use the nunique function to count the number of unique values in a pandas DataFrame. The following examples show how to use this function in practice with the following pandas DataFrame:. The following code shows how to count the number of unique values in each column of a DataFrame:.

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As we can see in the output, the function prints the total no. MultiIndex pyspark. While using W3Schools, you agree to have read and accepted our terms of use , cookie and privacy policy. Gift a Subscription. Keep Exploring. TimedeltaIndex pyspark. Assessments Benchmark your skills. W3Schools is optimized for learning and training. The Dataframe contains NaN values. Learn the fundamentals of Data Science with this free course. Additional Information. Projects Build real-world applications. Contact Us. Data Analytics Data Analytics Course.

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