pandas.to_numeric

pandas.to_numeric(arg, errors='raise')

Convert argument to a numeric type.

Parameters:	arg : list, tuple, 1-d array, or Series errors : {‘ignore’, ‘raise’, ‘coerce’}, default ‘raise’ If ‘raise’, then invalid parsing will raise an exception If ‘coerce’, then invalid parsing will be set as NaN If ‘ignore’, then invalid parsing will return the input
Returns:	ret : numeric if parsing succeeded. Return type depends on input. Series if Series, otherwise ndarray

Examples

Take separate series and convert to numeric, coercing when told to

>>> import pandas as pd
>>> s = pd.Series(['1.0', '2', -3])
>>> pd.to_numeric(s)
>>> s = pd.Series(['apple', '1.0', '2', -3])
>>> pd.to_numeric(s, errors='ignore')
>>> pd.to_numeric(s, errors='coerce')