I have a function which returns me two lists, symbols and data where the corresponding values are with the same index. For example symbols[i] gives the variable name and data[i] gives the actual value (int).
I would like to use these two lists to dynamically create a class with static values of the following format:
class a:
symbols[i] = data[i]
symbols[i+1] = data[i+1]
and so on so that I could later refer to the values like this:
a.symbols[i]
a.symbols[i+1]
where symbols[i] and symbols[i+1] should be replaced with the wanted variable name, like a.var1 or a.var2
How could this be achieved?
Edit: added detail below
So I have a main program lets say def main() which should read in a list.dat of this style:
dimension1;0.1
dimension2;0.03
dimension3;0.15
and separate the values to symbols and data lists.
So I don't know how many values there are exactly in these lists. I want to create a class dynamically to be able to refer to the values in the main program and to give the class to sub functions as an argument like def sub1(NewClass, argument1, argument2) etc. At the moment I am using a manually created simple python list (list.py) of the following format:
dimension1 = 0.1
dimension2 = 0.03
dimension3 = 0.15
and then using from list import * in the main program and also in the sub functions, which causes a SyntaxWarning telling me that import * only allowed at module level. So what I actually want is a smart and consistent way of handling the parameters list and transferring it to another functions
You can create a class dynamically with type. If I understand what you want to achieve here, your code will look like:
my_classes = []
for i in range(0, len(data), 2):
my_classes.append(
type('A%d' % i, (), {'var1': data[i], 'var2': data[i+1]})
)
I suspect what you actually want, re-reading the description, is to use type as follows:
NewClass = type('NewClass', (object,), dict(zip(symbols, data)))
Given a minimal example:
>>> symbols = 'foo bar baz'.split()
>>> data = range(3)
The outcome would be:
>>> NewClass.foo
0
>>> NewClass.bar
1
>>> NewClass.baz
2
Using zip allows you to easily create a dictionary from a list of keys and a list of associated values, which you can use as the __dict__ for your new class.
However, it's not clear why you want this to be a class, specifically.
I'm creating this type of object:
class start_url_mod ():
link = ""
id = 0
data = ""
I'm creating a list of this object and I want to know if there is some way in order to delete one of then if I find same link attribute.
I know the function set() for the deleting of duplicates in a "sample" list, but there is something very fast and computational acceptable?
Use a dict key-ed on the attribute. You can preserve order with collections.OrderedDict:
from collections import OrderedDict
# Keep the last copy with a given link
kept_last = OrderedDict((x.link, x) for x in nonuniquelist).values()
# Keep the first copy with a given link (still preserving input order)
kept_first = list(reversed(OrderedDict((x.link, x) for x in reversed(nonuniquelist)).viewvalues()))
If order is not important, plain dict via dict comprehensions is significantly faster in Python 2.7 (because OrderedDict is implemented in Python, not C, and because dict comprehensions are optimized more than constructor calls; in Python 3.5 it's implemented in C):
# Keep the last copy with a given link but order not preserved in result
kept_last = {x.link: x for x in nonuniquelist}.values()
# Keep the first copy with a given link but order not preserved in result
kept_first = {x.link: x for x in reversed(nonuniquelist)}.values()
You can use a dictionary with the attribute that you're interested in being the key ...
I have a group of variables named k1, k2 k3....k52. They variables are lists/numpy arrays depending on the scenario. Essentially I'd like to perform the same manipulation on them en masse within a loop, but am having trouble ierating over them. Essentially what i'd like is something like this:
for i in arange(0,52):
'k'+ str(i) = log10(eval('k' + str(i)))
Obviously i know the above wont work, but it gives the idea. My actual attempt is this:
for i in arange(0,10):
rate = eval('k' + str(i))
rate = np.array(rate,dtype=float)
rate = log10(rate)
rate.tolist()
vars()[rate] = 'k' + str(i)
(Its changed to a numpy array so i can log it, and then back to a list so i change the variable name back to what it was) Thanks for any help you can provide. I get the feeling this is something quite simple, but its escaping me at the moment.
edit: thanks very much for the answers, i should have explained that I can't really store them a set array, they need to remain as independent variables for reasons i don't really want to go into.
The line:
vars()[rate] = 'k' + str(i)
has to be replaced by:
vars()['k' + str(i)]=rate
If the items are all globals you can use the globals() call to get a mapping, then manipulate them:
g = globals()
for i in arange(0,52):
varname = 'k{}'.format(i)
g[varname] = log10(g[varname])
but you really want to just store all those items in a list or dictionary instead.
I have python list like below:
DEMO_LIST = [
[{'unweighted_criket_data': [-46.14554728131345, 2.997789122813151, -23.66171024766996]},
{'weighted_criket_index_input': [-6.275794430258629, 0.4076993207025885, -3.2179925936831144]},
{'manual_weighted_cricket_data': [-11.536386820328362, 0.7494472807032877, -5.91542756191749]},
{'average_weighted_cricket_data': [-8.906090625293496, 0.5785733007029381, -4.566710077800302]}],
[{'unweighted_football_data': [-7.586729834820534, 3.9521665714843675, 5.702038461085529]},
{'weighted_football_data': [-3.512655913521907, 1.8298531225972623, 2.6400438074826]},
{'manual_weighted_football_data': [-1.8966824587051334, 0.9880416428710919, 1.4255096152713822]},
{'average_weighted_football_data': [-2.70466918611352, 1.4089473827341772, 2.0327767113769912]}],
[{'unweighted_rugby_data': [199.99999999999915, 53.91020408163265, -199.9999999999995]},
{'weighted_rugby_data': [3.3999999999999857, 0.9164734693877551, -3.3999999999999915]},
{'manual_rugby_data': [49.99999999999979, 13.477551020408162, -49.99999999999987]},
{'average_weighted_rugby_data': [26.699999999999886, 7.197012244897959, -26.699999999999932]}],
[{'unweighted_swimming_data': [2.1979283454982053, 14.079951031527246, -2.7585499298828777]},
{'weighted_swimming_data': [0.8462024130168091, 5.42078114713799, -1.062041723004908]},
{'manual_weighted_swimming_data': [0.5494820863745513, 3.5199877578818115, -0.6896374824707194]},
{'average_weighted_swimming_data': [0.6978422496956802, 4.470384452509901, -0.8758396027378137]}]]
I want to manipulate list items and do some basic math operation,like getting each data type list (example taking all first element of unweighted data and do sum etc)
Currently I am doing it like this.
The current solution is a very basic one, I want to do it in such way that if the list length is grown, it can automatically calculate the results. Right now there are four list, it can be 5 or 8,the final result should be the summation of all the first element of unweighted values,example:
now I am doing result_u1/4,result_u2/4,result_u3/4
I want it like result_u0/4,result_u1/4.......result_n4/4 # n is the number of list inside demo list
Any idea how I can do that?
(sorry for the beginner question)
You can implement a specific list class for yourself, that adds your summary with new item's values in append function, or decrease them on remove:
class MyList(list):
def __init__(self):
self.summary = 0
list.__init__(self)
def append(self, item):
self.summary += item.sample_value
list.append(self, item)
def remove(self, item):
self.summary -= item.sample_value
list.remove(self, item)
And a simple usage:
my_list = MyList()
print my_list.summary # Outputs 0
my_list.append({'sample_value': 10})
print my_list.summary # Outputs 10
In Python, whenever you start counting how many there are of something inside an iterable (a string, a list, a set, a collection of any of these) in order to loop over it - its a sign that your code can be revised.
Things can can work for 3 of something, can work for 300, 3000 and 3 million of the same thing without changing your code.
In your case, your logic is - "For every X inside DEMO_LIST, do something"
This translated into Python is:
for i in DEMO_LIST:
# do something with i
This snippet will run through any size of DEMO_LIST and each time i is each of whatever is in side DEMO_LIST. In your case it is the list that contains your dictionaries.
Further expanding on that, you can say:
for i in DEMO_LIST:
for k in i:
# now you are in each list that is inside the outer DEMO_LIST
Expanding this to do a practical example; a sum of all unweighted_criket_data:
all_unweighted_cricket_data = []
for i in DEMO_LIST:
for k in i:
if 'unweighted_criket_data' in k:
for data in k['unweighted_cricket_data']:
all_unweighted_cricked_data.append(data)
sum_of_data = sum(all_unweighted_cricket_data)
There are various "shortcuts" to do the same, but you can appreciate those once you understand the "expanded" version of what the shortcut is trying to do.
Remember there is nothing wrong with writing it out the 'long way' especially when you are not sure of the best way to do something. Once you are comfortable with the logic, then you can use shortcuts like list comprehensions.
Start by replacing this:
for i in range(0,len(data_list)-1):
result_u1+=data_list[i][0].values()[0][0]
result_u2+=data_list[i][0].values()[0][1]
result_u3+=data_list[i][0].values()[0][2]
print "UNWEIGHTED",result_u1/4,result_u2/4,result_u3/4
With this:
sz = len(data_list[i][0].values()[0])
result_u = [0] * sz
for i in range(0,len(data_list)-1):
for j in range(0,sz):
result_u[j] += data_list[i][0].values()[0][j]
print "UNWEIGHTED", [x/len(data_list) for x in result_u]
Apply similar changes elsewhere. This assumes that your data really is "rectangular", that is to say every corresponding inner list has the same number of values.
A slightly more "Pythonic"[*] version of:
for j in range(0,sz):
result_u[j] += data_list[i][0].values()[0][j]
is:
for j, dataval in enumerate(data_list[i][0].values()[0]):
result_u[j] += dataval
There are some problems with your code, though:
values()[0] might give you any of the values in the dictionary, since dictionaries are unordered. Maybe it happens to give you the unweighted data, maybe not.
I'm confused why you're looping on the range 0 to len(data_list)-1: if you want to include all the sports you need 0 to len(data_list), because the second parameter to range, the upper limit, is excluded.
You could perhaps consider reformatting your data more like this:
DEMO_LIST = {
'cricket' : {
'unweighted' : [1,2,3],
'weighted' : [4,5,6],
'manual' : [7,8,9],
'average' : [10,11,12],
},
'rugby' : ...
}
Once you have the same keys in each sport's dictionary, you can replace values()[0] with ['unweighted'], so you'll always get the right dictionary entry. And once you have a whole lot of dictionaries all with the same keys, you can replace them with a class or a named tuple, to define/enforce that those are the values that must always be present:
import collections
Sport = collections.namedtuple('Sport', 'unweighted weighted manual average')
DEMO_LIST = {
'cricket' : Sport(
unweighted = [1,2,3],
weighted = [4,5,6],
manual = [7,8,9],
average = [10,11,12],
),
'rugby' : ...
}
Now you can replace ['unweighted'] with .unweighted.
[*] The word "Pythonic" officially means something like, "done in the style of a Python programmer, taking advantage of any useful Python features to produce the best idiomatic Python code". In practice it usually means "I prefer this, and I'm a Python programmer, therefore this is the correct way to write Python". It's an argument by authority if you're Guido van Rossum, or by appeal to nebulous authority if you're not. In almost all circumstances it can be replaced with "good IMO" without changing the sense of the sentence ;-)
This is different from retrieving variable/object name at run time.
2G_Functions={'2G_1':2G_f1,'2G_2':2G_f2}
3G_Functions={'3G_1':3G_f1,'3G_2':3G_f2}
myFunctionMap=[2G_Functions,3G_Functions]
for i in myFunctionMap:
print i.??? "\n"
for j in i:
print str(j)
I want the output look like below.
2G_Functions:
2G_1
2G_2
3G_Functions:
3G_1
3G_2
How can I get the name of dictionary variable in my code?I dont know which I am calling in the loop to know its name beforehand.
Despite the pessimism of the other answers, in this particular case you actually can do what you're asking for if there are no other names names assigned to the objects identified by G2_Functions and G3_Functions (I took the liberty of fixing your names, which are not valid Python identifiers as given.) That being said, this is a terrible, terrible, terrible idea and you should not do it, because it will eventually break and you'll be sad. So don't do it. Ever.
The following is analogous to what you're trying to do:
alpha = {'a': 1, 'b': 2}
beta = {'c': 2, 'd': 4}
gamma = [alpha, beta]
listOfDefinedLocals = list(locals().iteritems())
for x, y in listOfDefinedLocals:
if y is gamma[0]: print "gamma[0] was originally named " + x
if y is gamma[1]: print "gamma[1] was originally named " + x
This will output:
gamma[1] was originally named beta
gamma[0] was originally named alpha
I accept no responsibility for what you do with this information. It's pretty much guaranteed to fail exactly when you need it. I'm not kidding.
You can't. The myFunctionMap list contains the objects, not the name attached to them 2 lines above. BTW, calling a list variable "map" isn't a good practice, maps are usually dictionaries.
You can't start a variable name with a digit, so 2G_Functions and 3G_Functions won't work.
You can sidestep the problem by creating a dictionary with appropriate names
e.g.
myFunctionMap = {
"2G_Functions" : { ... },
"3G_Functions" : { ... },
}
for (name, functions) in myFunctionMap.iteritems():
print name
for func in functions.keys():
print func
In short, you can't.
In longer, it is sort of possible if you poke deep into, I think, the gc module (for the general case) or use locals() and globals()… But it's likely a better idea to simply define the list like this:
myFunctionMap = [ ("someName", someName), … ]
for name, map in myFunctionMap:
print name
…
Try making your list of lists as a list of strings instead:
d2G_Functions={'2G_1':"2G_f1",'2G_2':"2G_f2"}
d3G_Functions={'3G_1':"3G_f1",'3G_2':"3G_f2"}
myFunctions=["2G_Functions","3G_Functions"]
for dict_name in myFunctions:
print dict_name
the_dict = eval("d"+dict_name)
for j in the_dict:
print str(j)
(I changed the name of your original variables since python identifiers cannot begin with a digit)