data = [] dic = dict.fromkeys([‘a’, ‘b’, ‘c’], 0) value = 1 for i in range(3): key = list(dic.keys()) for j in range(len(dic)): dic[key[j]] = value value += 1 data.append(dic) for i in data: print(i) In this code, I expexted like this. {1, 2, 3} {4, 5, 6} {7, 8, 9} but the result is… Read More Add dictionary in List in Python but, data is duplicated
the objective is to find the common element of the two array here error comes when dictionary is inputted with values not present in the list A. import numpy as np A=np.random.randint(1,10,15) B=np.random.randint(1,15,15) print(A) print(B) dic={} for x in A: dic[x]=1 for y in B: if dic[y]!=None: print("the common element is ", y) I know… Read More what to do to ignore the output when undefined keys are inputted in python dictionary
weapons = { ‘sword’ : { ‘damage’ : 10, ‘type_damage’ : ‘sharp’, ‘max_durability’ : 20 }, ‘spear’ : { ‘damage’ : 7, ‘type_damage’ : ‘pointy’, ‘max_durability’ : 25 }, ‘log’ : { ‘damage’ : 5, ‘type_damage’ : ‘blunt’, ‘max_durability’ : 15 } } inventory = { } inventory.update(weapons[‘sword’]) print(inventory) I want to also add the… Read More Can you get the name of an object in a dictionary?
I have a lot of timeseries data for 30 stations and I need to map the latitude and longitude to each data point so I can plot it on a map. The latitude and longitude data is in another .csv that needs to be maped over based on the stations ID. I know I can… Read More Map Latitude and Longitude for each data point
I have a few dictionaries, and I’d like to put them into one large dataframe with custom columns. What I have now is two separate dictionaries (I have more but I’ll use two as an example): dict_team: { Team Alpha: linkToAlpha Team Beta: linkToBeta Team Charlie: linkToCharlie } dict_project: { Project Delta: linkToDelta Project Echo:… Read More How can a convert multiple dictionaries into one big dataframe with custom headers?
I have a column of dictionaries within a pandas data frame: sr = pd.Series([{‘sugar’: 1, ‘pepper’: 2},{‘salt’: 2, ‘sugar’: 2},{‘pepper’: 3, ‘sugar’: 4}]) df = pd.DataFrame({‘column1’: sr}) df column1 0 {‘sugar’: 1, ‘pepper’: 2} 1 {‘salt’: 2, ‘sugar’: 2} 2 {‘pepper’: 3, ‘sugar’: 4} How would I merge all dictionaries in column ‘column1’ into one… Read More How to merge pandas column of dictionaries into one dict
I am loading a tricky (to me) dataset from an api that is in the format {[{}]} and I need to create a dictionary by pairing the items in a list with a specific set of values found in their respective dataset. lis = [‘A’, ‘B’] for i in lis: chata = requests.get(urlhalf1 + i… Read More Creating a dataframe after extracting value from an oddly nested dictionary of a dataset
How do I read in a .csv file in Python with columns of varying lengths? I want to create a dictionary from the .csv file, with the .csv columns as lists of dictionary values. I’ve figured out how to write the dictionary to a .csv file, but I need help reading in that same file.… Read More Read .csv file with columns of varying length as dictionary in Python
I’m trying to create a blind auction. So basically it will ask for your name and then your bid. After that, it will ask if there are any bidders, if yes it will ask you the name and the bid price. But after you said yes the terminal will be cleaned. So that the other… Read More How can i add new key and value in a existing list
I have a dictionary whose keys are tuples of the form (i,j) and whose values are matrix entries. So if you think of a mathematical matrix $A = (a_{i,j})$ then matrix_dict[(i,j)] would give the value of row i and column j. I would like to have a pandas dataframe where the values of matrix_dict[(i,0)] for… Read More Pandas Dataframe from matrix-like dictionary where keys are tuples of indices