question 414 pandas Foundations · easy

Which rows aren't numbers?

Before converting a column, a loader reports the rows that would fail. Write non_numeric_rows(path, column): return the row positions (0 for the first data row) where column has a value that is not a number. Empty cells are missing, not wrong: don't report them.

Functionnon_numeric_rows(path, column)

Returnsa list of row positions, in order; [] when every value is a number or empty

Examples

callnon_numeric_rows('quantities.csv', 'Quantity')returns[1, 3]

callnon_numeric_rows('quantities.csv', 'StockCode')returns[2]

callnon_numeric_rows('signed.csv', 'Quantity')returns[]