Finding what methods a Python object has

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). Hopefully, that should provide some further detail!

If you get an AttributeError, you can use this instead:

getattr( is intolerant of pandas style python3.6 abstract virtual sub-classes. This code does the same as above and ignores exceptions.

import pandas as pddf = 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:        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:        print(method.ljust(spacing) + ' ' + ' getattr() failed')get_methods(df['foo'])

You can use the built in dir() function to get a list of all the attributes a module has. Try this at the command line to see how it works.

>>> import moduleName>>> dir(moduleName)

Also, you can use the hasattr(module_name, "attr_name") function to find out if a module has a specific attribute.

See the Guide to Python introspection for more information.

The simplest method is to use dir(objectname). It will display all the methods available for that object. Cool trick.