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Describing the Data | Analyzing the Data
Pandas First Steps
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Conteúdo do Curso

Pandas First Steps

Pandas First Steps

1. The Very First Steps
2. Reading Files in Pandas
3. Analyzing the Data

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Describing the Data

Pandas offers the handy mean() method that calculates the average of all values for each column. Here's how you can utilize it:

To determine the average value for a specific column, you can follow this method:

Pandas also provides the mode() method, which identifies the most frequently occurring value in each column. See the example below:

To find the mode for a particular column, you can do this:

Another useful method in pandas is describe(). Here's how to use it:

This method provides an overview of various metrics from the dataset, including:

  • Total number of entries;
  • Mean or average value;
  • Standard deviation;
  • The minimum and maximum values;
  • The 25th, 50th (median), and 75th percentiles.
Tarefa
test

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Retrieve the following from the dataframe named data_frame:

  • Total entries for each column;
  • Average value for each column;
  • Standard deviation for each column;
  • Minimum value for each column;
  • Maximum value for each column;
  • 25th, 50th, and 75th percentiles for each column.

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Seção 3. Capítulo 11
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book
Describing the Data

Pandas offers the handy mean() method that calculates the average of all values for each column. Here's how you can utilize it:

To determine the average value for a specific column, you can follow this method:

Pandas also provides the mode() method, which identifies the most frequently occurring value in each column. See the example below:

To find the mode for a particular column, you can do this:

Another useful method in pandas is describe(). Here's how to use it:

This method provides an overview of various metrics from the dataset, including:

  • Total number of entries;
  • Mean or average value;
  • Standard deviation;
  • The minimum and maximum values;
  • The 25th, 50th (median), and 75th percentiles.
Tarefa
test

Swipe to show code editor

Retrieve the following from the dataframe named data_frame:

  • Total entries for each column;
  • Average value for each column;
  • Standard deviation for each column;
  • Minimum value for each column;
  • Maximum value for each column;
  • 25th, 50th, and 75th percentiles for each column.

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 11
Switch to desktopMude para o desktop para praticar no mundo realContinue de onde você está usando uma das opções abaixo
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