Tips for Selecting Columns in a DataFrame
This article explains how to select columns from a Pandas DataFrame using various methods.
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This article explains how to select columns from a Pandas DataFrame. It uses the loc and iloc indexers to select columns by label or integer location. It shows how to use the column attribute to select multiple columns. It also explains how to use the dot notation to select columns with spaces in the name.
The loc indexer allows you to select columns by labels. You can use a single label, a list of labels, or a slice of labels. It also allows you to select columns by boolean arrays.
The iloc indexer is used to select columns by integer location. You can use a single integer, a list of integers, or a slice of integers. It also allows you to select columns by boolean arrays.
The column attribute allows you to select multiple columns. You can use a single label, a list of labels, or a slice of labels. It also allows you to select columns by boolean arrays.
The dot notation is used to select columns with spaces in the name. It allows you to select columns by labels. You can use a single label, a list of labels, or a slice of labels. It also allows you to select columns by boolean arrays.
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