Pandas DataFrame: lookup() function
DataFrame - lookup() function
The lookup() function returns label-based "fancy indexing" function for DataFrame.
Given equal-length arrays of row and column labels, return an array of the values corresponding to each (row, col) pair.
Syntax:DataFrame.lookup(self, row_labels, col_labels)
Parameters:
| Name | Description | Type/Default Value | Required / Optional |
|---|---|---|---|
| row_labels | The row labels to use for lookup | sequence | Required |
| col_labels | The column labels to use for lookup | sequence | Required |
Returns: numpy.ndarray
Notes
Akin to:
result = [df.get_value(row, col)
for row, col in zip(row_labels, col_labels)]
Example:
Download the Pandas DataFrame Notebooks from here.
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