Course Content
Time Series Essentials
Dataframe Exploration
In Python, the shape
attribute of a pandas
DataFrame returns a tuple representing the dimensions of the DataFrame. The dtypes
attribute returns the data types of the columns in the DataFrame.
In Python, the dtypes
attribute of a pandas DataFrame returns the data types of the columns in the DataFrame.
Methods description
-
.shape
: This attribute contains a tuple representing the dimensions of the DataFrame, where the first element is the number of rows and the second element is the number of columns. It does not take any arguments; -
.dtypes
: This method contains a Series containing the data type of each column in the DataFrame. It does not take any arguments.
Swipe to show code editor
Print the shape of the DataFrame and data types of all its columns.
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In Python, the shape
attribute of a pandas
DataFrame returns a tuple representing the dimensions of the DataFrame. The dtypes
attribute returns the data types of the columns in the DataFrame.
In Python, the dtypes
attribute of a pandas DataFrame returns the data types of the columns in the DataFrame.
Methods description
-
.shape
: This attribute contains a tuple representing the dimensions of the DataFrame, where the first element is the number of rows and the second element is the number of columns. It does not take any arguments; -
.dtypes
: This method contains a Series containing the data type of each column in the DataFrame. It does not take any arguments.
Swipe to show code editor
Print the shape of the DataFrame and data types of all its columns.