WebSep 24, 2012 · 5 Answers Sorted by: 33 Simply construct the file name with + and str. If you want, you can also use old-style or new-style formatting to do so, so the file name can be constructed as: "file_" + str (i) + ".dat" "file_%s.dat" % i "file_ {}.dat".format (i) WebCreating a dictionary as it has mentioned, but in this case each key has the name of the object name that you want to create. Then the value is set as the class you want to instantiate, see for example: class MyClass: def __init__(self, name): self.name = name self.checkme = 'awesome {}'.format(self.name) ...
python - using for loops to create variables with different names ...
WebDec 9, 2013 · I want this variable to have a unique name for each iteration of the loop( based on reclassInt items). Ideally this could create variables like line1, line2, ect to equal the string outputs from each iteration. Then I could string these together outside the loop to get my desired string. To be clear my end goal is this exact string: WebHow to create new variables with names from list? This: name = ['mike', 'john', 'steve'] age = [20, 32, 19] index = 0 for e in name: name [index] = age [index] index = index+1 of … frankfurt public viewing 2022
How to create multiple class objects with a loop in python?
WebOct 7, 2024 · Unless there is a strong reason to create multiple variables on the fly, it is normally in these situations to put things in a list of some sort, or a dictionary: mydict = {'var {}'.format (i):i for i in range (1,101)} Now access values with: mydict ["var1"] # returns 1 mydict.get ("var1") # returns 1 mydict.get ("var101") # returns None Share WebYou can use variable key names to achieve the effect of variable variables without the security risk. >>> x = "spam" >>> z = {x: "eggs"} >>> z ["spam"] 'eggs' For cases where you're thinking of doing something like var1 = 'foo' var2 = 'bar' var3 = 'baz' ... a list may be more appropriate than a dict. WebJun 19, 2024 · create a List of data_frames as df = [] Now append your data_frames as for i in range (7): df.append (pd.read_csv (r'C:\Users\siddhn\Desktop\phone'+str (i)+'.csv', engine = 'python') You can then acess data_frames by indexing them like df [0] or df [1] ..... Share Improve this answer Follow answered Jun 19, 2024 at 5:02 pendela neelesh 13 6 blaze and the monster machines crusher wiki