Notice: This page requires JavaScript to function properly.
Please enable JavaScript in your browser settings or update your browser.sum() and count() | Analyzing the Data
Pandas First Steps
course content

Conteúdo do Curso

Pandas First Steps

Pandas First Steps

1. The Very First Steps
What is pandas? SeriesCreating a SeriesDataFrameSeries QuizCreating a DataFrame QuizAdding a New ColumnInserting a New ColumnDeleting a Row/Column Matching the FunctionsWorking with ColumnsExtracting Columns Quiziloc BasicsUsing iloc
2. Reading Files in Pandas
CSV FilesTXT FilesWorking with Files QuizAccessing the Columns
3. Analyzing the Data
Viewing the DataHead QuizHead and Tail QuizInformation on the DataColumn Names and Data TypesFinding Null ValuesIdentifying Null Values QuizDropping Null ValuesFilling Null ValuesNull Values QuizDescribing the DataCalculating Descriptive Statisticsmax() and min()Statistical Operations Quizsum() and count()Unique Values

booksum() and count()

Pandas offers the count() method, which counts all non-null cells (neither None nor np.NaN) for each column. Consider the following example:

To find the count of non-null values in a specific column, use:

Pandas also provides the sum() method. This function calculates the sum of values for each column, but it only works with numeric columns. Check out the following example:

To find the sum of values in a particular column:

Tarefa

Given the dataframe audi_cars:

  1. Determine the count of non-null cells in each column.
  2. Compute the total price (using the price column) for all cars in the DataFrame.

Switch to desktopMude para o desktop para praticar no mundo realContinue de onde você está usando uma das opções abaixo
Tudo estava claro?

Como podemos melhorá-lo?

Obrigado pelo seu feedback!

Seção 3. Capítulo 15
toggle bottom row

booksum() and count()

Pandas offers the count() method, which counts all non-null cells (neither None nor np.NaN) for each column. Consider the following example:

To find the count of non-null values in a specific column, use:

Pandas also provides the sum() method. This function calculates the sum of values for each column, but it only works with numeric columns. Check out the following example:

To find the sum of values in a particular column:

Tarefa

Given the dataframe audi_cars:

  1. Determine the count of non-null cells in each column.
  2. Compute the total price (using the price column) for all cars in the DataFrame.

Switch to desktopMude para o desktop para praticar no mundo realContinue de onde você está usando uma das opções abaixo
Tudo estava claro?

Como podemos melhorá-lo?

Obrigado pelo seu feedback!

Seção 3. Capítulo 15
toggle bottom row

booksum() and count()

Pandas offers the count() method, which counts all non-null cells (neither None nor np.NaN) for each column. Consider the following example:

To find the count of non-null values in a specific column, use:

Pandas also provides the sum() method. This function calculates the sum of values for each column, but it only works with numeric columns. Check out the following example:

To find the sum of values in a particular column:

Tarefa

Given the dataframe audi_cars:

  1. Determine the count of non-null cells in each column.
  2. Compute the total price (using the price column) for all cars in the DataFrame.

Switch to desktopMude para o desktop para praticar no mundo realContinue de onde você está usando uma das opções abaixo
Tudo estava claro?

Como podemos melhorá-lo?

Obrigado pelo seu feedback!

Pandas offers the count() method, which counts all non-null cells (neither None nor np.NaN) for each column. Consider the following example:

To find the count of non-null values in a specific column, use:

Pandas also provides the sum() method. This function calculates the sum of values for each column, but it only works with numeric columns. Check out the following example:

To find the sum of values in a particular column:

Tarefa

Given the dataframe audi_cars:

  1. Determine the count of non-null cells in each column.
  2. Compute the total price (using the price column) for all cars in the DataFrame.

Switch to desktopMude para o desktop para praticar no mundo realContinue de onde você está usando uma das opções abaixo
Seção 3. Capítulo 15
Switch to desktopMude para o desktop para praticar no mundo realContinue de onde você está usando uma das opções abaixo
some-alt