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Print out the Basic Info of our Dataset
Now that we have imported our data, let's check its shape and main info about its columns.
Methods description
-
.shape: This attribute returns 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; -
.info()method in Pandas provides a concise summary of the DataFrame, including its index data type and column data types, non-null values, and memory usage.
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- Get the dimensionality of the DataFrame).
- Get DataFrame information.
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Now that we have imported our data, let's check its shape and main info about its columns.
Methods description
-
.shape: This attribute returns 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; -
.info()method in Pandas provides a concise summary of the DataFrame, including its index data type and column data types, non-null values, and memory usage.
Swipe to show code editor
- Get the dimensionality of the DataFrame).
- Get DataFrame information.
Switch to desktop for real-world practiceContinue from where you are using one of the options below