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Lære Column Names and Data Types | Analyzing the Data
Pandas First Steps
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Pandas First Steps

Pandas First Steps

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

book
Column Names and Data Types

To see all the column names as a list, we have to use this line of code:

python

We can also get a summary of all the types of data that are in the dataframe. For this, we have to use the following attribute: .dtypes.

python
Opgave

Swipe to start coding

You are given a DataFrame named wine_data.

  • Get the column names that this DataFrame contains and store the result in the column_names variable.
  • Get the data types of these columns from this DataFrame and store the result in the data_types variable.

Løsning

Switch to desktopSkift til skrivebord for at øve i den virkelige verdenFortsæt der, hvor du er, med en af nedenstående muligheder
Var alt klart?

Hvordan kan vi forbedre det?

Tak for dine kommentarer!

Sektion 3. Kapitel 5
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book
Column Names and Data Types

To see all the column names as a list, we have to use this line of code:

python

We can also get a summary of all the types of data that are in the dataframe. For this, we have to use the following attribute: .dtypes.

python
Opgave

Swipe to start coding

You are given a DataFrame named wine_data.

  • Get the column names that this DataFrame contains and store the result in the column_names variable.
  • Get the data types of these columns from this DataFrame and store the result in the data_types variable.

Løsning

Switch to desktopSkift til skrivebord for at øve i den virkelige verdenFortsæt der, hvor du er, med en af nedenstående muligheder
Var alt klart?

Hvordan kan vi forbedre det?

Tak for dine kommentarer!

Sektion 3. Kapitel 5
Switch to desktopSkift til skrivebord for at øve i den virkelige verdenFortsæt der, hvor du er, med en af nedenstående muligheder
Vi beklager, at noget gik galt. Hvad skete der?
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