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Pandas First Steps

Unique ValuesUnique Values

Data often gets duplicated in DataFrames. For instance, in our countries DataFrame, the continent column has repeated entries. There's a function that retrieves an array of distinct values from a specific DataFrame column. Let's revisit this DataFrame.

Now, let's apply the unique() function to the continent and country columns.

Task

Given the audi_cars DataFrame, please identify all distinct values in the year and fueltype columns.

Everything was clear?

Section 3. Chapter 16
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Course Content

Pandas First Steps

1. The Very First Steps

What is pandas? SeriesCreate a SeriesDataFrameSeries QuizCreating a DataFrame QuizAdd a New Column 1/2Add a New Column 2/2Delete a Row/Column Match the FunctionsWork with ColumnsExtracting Columns QuizFunction iloc() 1/2Function iloc() 2/2

2. Reading Files in Pandas

CSV FilesTXT FilesWorking with Files QuizAccess the Columns

3. Analyzing the Data

Viewing the DataHead QuizHead and Tail QuizInformation on the Data 1/2Information on the Data 2/2Finding Null ValuesIdentifying Null Values QuizDropping Null ValuesFilling Null ValuesNull Values QuizDescribing the DataCalculate Descriptive Statisticsmax() and min()Statistical Operations Quizsum() and count()Unique Values

Pandas First Steps

Unique ValuesUnique Values

Data often gets duplicated in DataFrames. For instance, in our countries DataFrame, the continent column has repeated entries. There's a function that retrieves an array of distinct values from a specific DataFrame column. Let's revisit this DataFrame.

Now, let's apply the unique() function to the continent and country columns.

Task

Given the audi_cars DataFrame, please identify all distinct values in the year and fueltype columns.

Everything was clear?

Section 3. Chapter 16
toggle bottom row
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