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 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:
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.