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Please enable JavaScript in your browser settings or update your browser.Extracting Columns Quiz | The Very First Steps
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Contenido del Curso

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

Extracting Columns QuizExtracting Columns Quiz

If we have a DataFrame called products with four columns: 'id', 'name', 'type', and 'price', how would we correctly extract the 'name' and 'price' columns?

Selecciona la respuesta correcta

Hint
To extract multiple columns from a DataFrame, you should use the following syntax: `dataframe[['column1', 'column2']]`.

¿Todo estuvo claro?

Sección 1. Capítulo 12
course content

Contenido del Curso

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

Extracting Columns QuizExtracting Columns Quiz

If we have a DataFrame called products with four columns: 'id', 'name', 'type', and 'price', how would we correctly extract the 'name' and 'price' columns?

Selecciona la respuesta correcta

Hint
To extract multiple columns from a DataFrame, you should use the following syntax: `dataframe[['column1', 'column2']]`.

¿Todo estuvo claro?

Sección 1. Capítulo 12
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