I am using an API to call specific information from a website. I need to be able to parse through the list to utilize the functions. Example:
list = ['doThis','doThat']
for item in list:
sampleobject.item
The issue is when I use this, I get an error saying "sampleobject has no attribute 'item'".
Is there a way that I can pull the quote out of the string to do this?
Try:
methods = ['doThis','doThat']
for method_name in methods:
method = getattr(sampleobject, method_name)
method()
Though it would be easier to do:
sampleobject.doThis()
sampleobject.doThat()
You can call getattr(sampleobject, item) to get the content of a property with the name equal to what is stored in item, which is an element from your list.
I think the problem is not about quotes at all. The problem is that syntax object.member means: evaluate a property named member that is stored in a variable named object. And you expect it to mean: evaluated a property with the name stored in member.
Related
I am looking to retrieve the name of an instance of DataFrame, that I pass as an argument to my function, to be able to use this name in the execution of the function.
Example in a script:
display(df_on_step_42)
I would like to retrieve the string "df_on_step_42" to use in the execution of the display function (that display the content of the DataFrame).
As a last resort, I can pass as argument of DataFrame and its name:
display(df_on_step_42, "df_on_step_42")
But I would prefer to do without this second argument.
PySpark DataFrames are non-transformable, so in our data pipeline, we cannot systematically put a name attribute to all the new DataFrames that come from other DataFrames.
You can use the globals() dictionary to search for your variable by matching it using eval.
As #juanpa.arrivillaga mentions, this is fundamentally bad design, but if you need to, here is one way to do this inspired by this old SO answer for python2 -
import pandas as pd
df_on_step_42 = pd.DataFrame()
def get_var_name(var):
for k in globals().keys():
try:
if eval(k) is var:
return k
except:
pass
get_var_name(df_on_step_42)
'df_on_step_42'
Your display would then look like -
display(df_on_step_42, get_var_name(df_on_step_42))
Caution
This will fail for views of variables since they are just pointing to the memory of the original variable. This means that the original variable occurs first in the global dictionary during an iteration of the keys, it will return the name of the original variable.
a = 123
b = a
get_var_name(b)
'a'
I finally found a solution to my problem using the inspect and re libraries.
I use the following lines which correspond to the use of the display() function
import inspect
import again
def display(df):
frame = inspect.getouterframes(inspect.currentframe())[1]
name = re.match("\s*(\S*).display", frame.code_context[0])[1]
print(name)
display(df_on_step_42)
The inspect library allows me to get the call context of the function, in this context, the code_context attribute gives me the text of the line where the function is called, and finally the regex library allows me to isolate the name of the dataframe given as parameter.
It’s not optimal but it works.
I am trying to write a testing program for a python program that takes data, does calculations on it, then puts the output in a class instance object. This object contains several other objects, each with their own attributes. I'm trying to access all the attributes and sub-attributes dynamically with a one size fits all solution, corresponding to elements in a dictionary I wrote to cycle through and get all those attributes for printing onto a test output file.
Edit: this may not be clear from the above but I have a list of the attributes I want, so using something to actually get those attributes is not a problem, although I'm aware python has methods that accomplish this. What I need to do is to be able to get all of those attributes with the same function call, regardless of whether they are top level object attributes or attributes of object attributes.
Python is having some trouble with this - first I tried doing something like this:
for string in attr_dictionary:
...
outputFile.print(outputclass.string)
...
But Python did not like this, and returned an AttributeError
After checking SE, I learned that this is a supposed solution:
for string in attr_dictionary:
...
outputFile.print(getattr(outputclass, string))
...
The only problem is - I want to dynamically access the attributes of objects that are attributes of outputclass. So ideally it would be something like outputclass.objectAttribute.attribute, but this does not work in python. When I use getattr(outputclass, objectAttribute.string), python returns an AttributeError
Any good solution here?
One thing I have thought of trying is creating methods to return those sub-attributes, something like:
class outputObject:
...
def attributeIWant(self,...):
return self.subObject.attributeIWant
...
Even then, it seems like getattr() will return an error because attributeIWant() is supposed to be a function call, it's not actually an attribute. I'm not certain that this is even within the capabilities of Python to make this happen.
Thank you in advance for reading and/or responding, if anyone is familiar with a way to do this it would save me a bunch of refactoring or additional code.
edit: Additional Clarification
The class for example is outputData, and inside that class you could have and instance of the class furtherData, which has the attribute dataIWant:
class outputData:
example: furtherData
example = furtherData()
example.dataIWant = someData
...
with the python getattr I can't access both attributes directly in outputData and attributes of example unless I use separate calls, the attribute of example needs two calls to getattr.
Edit2: I have found a solution I think works for this, see below
I was able to figure this out - I just wrote a quick function that splits the attribute string (for example outputObj.subObj.propertyIWant) then proceeds down the resultant array, calling getattr on each subobject until it reaches the end of the array and returns the actual attribute.
Code:
def obtainAttribute(sample, attributeString: str):
baseObj = sample
attrArray = attributeString.split(".")
for string in attrArray:
if(attrArray.index(string) == (len(attrArray) - 1)):
return getattr(baseObj,string)
else:
baseObj = getattr(baseObj,string)
return "failed"
sample is the object and attributeString is, for example object.subObject.attributeYouWant
I am passing object as follows
test = TestClass(parameter1=''first_name', parameter2='last_name')
And in another method I am accessing parameter1 as
print test.parameter1
I get output as first_name
But if I have variable which contains value assigned to parameter1. Can I use variable to get value?
var = 'parameter1'
What's the right way to perform like test.var? For this I get attribution error.
What's the programming word for 'parameter1', is it options, argument options?
Guess you need getattr function:
getattr(test, var)
How would I go about converting a string into a function call for a function that is within the same class? I used this question to help a bit but I think it has something to do with "self.".
ran_test_opt = choice(test_options)
ran_test_func = globals()[ran_test_opt]
ran_test_func()
where test_options is a list of the names of the functions available in string format. With the above code I get the error
KeyError: 'random_aoi'
Don't use globals() (the functions are not in the global symbol table), just use getattr:
ran_test_func = getattr(self, ran_test_opt)
globals() is a function that you should use very, very rarely, it smells of mixing code and data. Calling an instance method by a name found in a string is similar, but slightly less hacky. Use getattr:
ran_test_func = getattr(self, ran_test_opt)
ran_test_func()
I want a dict or tuple I can sort based on attributes of the objects I'm using as arguments for *arg. The way I've been trying to do it just gives me AttributeErrors, which leads me to believe I'm doing it weird.
def function(*arg):
items = {}
for thing in arg:
items.update({thing.name:thing})
while True:
for thing in items:
## lots of other code here, basically just a game loop.
## Problem is that the 'turn order' is based on whatever
## Python decides the order of arguments is inside "items".
## I'd like to be able to sort the dict based on each object's
## attributes (ie, highest 'thing.speed' goes first in the while loop)
The problem is when I try to sort "items" based on an attribute of the objects I put into function(), it gives me "AttributeError: 'str' object has no attribute 'attribute'". Which leads me to believe I'm either unpacking *arg in a lousy way, or I'm trying to do something the wrong way.
while True:
for thing in sorted(items, key=attrgetter('attribute')):
...doesn't work either, keeps telling me I'm trying to manipulate a 'str' object. What am I not doing here?
arg already is a tuple you can sort by an attribute of each item:
def function(*args):
for thing in sorted(args, key=attrgetter('attribute')):
When you iterate over a dict, as sorted is doing, you just get the keys, not the values. So, if you want to use a dict, you need to do:
def function(*args):
# or use a dict comprehension on 2.7+
items = dict((thing.name, thing) for thing in args)
# or just items.values on 3+
for thing in sorted(items.itervalues(), key=attrgetter('attribute')):
to actually sort the args by an attribute. If you want the keys of the dict available as well (not necessary here because the key is also an attribute of the item), use something like:
for name, thing in sorted(items.iteritems(), key=lambda item: item[1].attribute):
Your items is a dict, you can't properly sort a dict. When you try to use it as an iterable, it silently returns its keys list, which is a list of strings. And you don't use your arg after creating a dict.
If you don't need dict lookup, as you just iterate through it, you can replace dict with list of 2-tuples (thing.name, thing), sort it by any attribute and iterate through it. You can also use collections.OrderedDict from Python 2.7 (it exists as a separate ordereddict package for earlier versions) if you really want both dict lookup and ordering.
{edit} Thanks to agf, I understood the problem. So, what I wrote below is a good answer in itself, but not when related to the question above... I let it here for the trace.
Looking to the answers, I may have not understood the question. But here's my understanding: as args is a tuple of arguments you give to your function, it's likely that none of these arguments is an object with a name attribute. But, looking to the errors you report, you're giving string arguments.
Maybe some illustration will help my description:
>>> # defining a function using name attribute
>>> def f(*args):
... for arg in args:
... print arg.name
>>> # defining an object with a name attribute
>>> class o(object):
... def __init__(self, name):
... self.name = name
>>> # now applying the function on the previous object, and on a string
>>> f( o('arg 1'), 'arg 2' )
arg 1
Traceback (most recent call last):
File "<pyshell#9>", line 1, in <module>
f(o('arg 1'), 'ets')
File "<pyshell#3>", line 3, in f
print arg.name
AttributeError: 'str' object has no attribute 'name'
This is failing as strings have no such attribute.
For me, in your code, there is a mistake: you're trying to use attribute name on your inputs, without ever verifying that they have such an attribute. Maybe you should test with hasattr first:
>>> if hasattr(arg, 'name'):
... print arg.name
... else:
... print arg
or with some inspection on the input, to verify if it's an instance of a given class, known to have the requested attribute.