Given a Python object of any kind, is there an easy way to get the list of all methods that this object has?
if this is not possible, is there at least an easy way to check if it has a particular method other than simply checking if an error occurs when the method is called?
For many objects, you can use this code, replacing 'object' with the object you're interested in:
object_methods = [method_name for method_name in dir(object) if callable(getattr(object, method_name))]
I discovered it at diveintopython.net (now archived), that should provide some further details!
If you get an
AttributeError, you can use this instead:
getattr() is intolerant of pandas style Python 3.6 abstract virtual sub-classes. This code does the same as above and ignores exceptions.
import pandas as pd df = pd.DataFrame([[10, 20, 30], [100, 200, 300]], columns=['foo', 'bar', 'baz']) def get_methods(object, spacing=20): methodList =  for method_name in dir(object): try: if callable(getattr(object, method_name)): methodList.append(str(method_name)) except Exception: methodList.append(str(method_name)) processFunc = (lambda s: ' '.join(s.split())) or (lambda s: s) for method in methodList: try: print(str(method.ljust(spacing)) + ' ' + processFunc(str(getattr(object, method).__doc__)[0:90])) except Exception: print(method.ljust(spacing) + ' ' + ' getattr() failed') get_methods(df['foo'])
print [method for method in dir(object) if callable(getattr(object, method))]. — Oct 29, 2015 at 10:51
AttributeError: module 'pandas.core.common' has no attribute 'AbstractMethodError'when I try to run this. See details at stackoverflow.com/q/54713287/9677043. — Feb 15, 2019 at 16:26
[ m for m in dir(object) if not m.startswith('__')]— Nov 15, 2019 at 05:31
print(list(filter(lambda x: x != '_' and callable(getattr(obj, x)), dir(obj))))— Feb 06, 2020 at 20:13
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