pandas.to_numeric¶
- pandas.to_numeric(arg, errors='raise')¶
Convert argument to a numeric type.
Parameters: arg : list, tuple or array of objects, 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')