How do I aggregate 5 random samples of a dict? Question: I’m trying to sample 5 items from a dict then aggregate them by sum. In this case by building a sum of all 5 prices. How do I do that? import random mydict = { 1: {"name":"item1","price": 16}, 2: {"name":"item2","price": 14}, 3: {"name":"item3","price": 16}, …
How to get sample of data by having best possible equal number of rows from multiple columns? Question: Data: df1 = pd.DataFrame(np.random.randint(0,1000,size=(100, 4)), columns=list(‘ABCD’)) df1["cat1"] = np.random.choice([‘a’, ‘b’], len(df1)) df1["cat2"] = np.random.choice([‘32782’, ‘35871’, ‘35865’], len(df1)) df1["cat3"] = np.random.choice([‘pq’, ‘xy’, ‘ab’, ‘hq’], len(df1)) I want to take sample of this dataset i.e., 200 rows by having …
'Oversampling' cartesian data in a dataframe without for loop? Question: I have a 3D data in a pandas dataframe that I would like to ‘oversample’/smooth by replacing the value at each x,y point with the average value of all the points that are within 5 units of that point. I can do it using a …
How to randomly sample and keep only n values of repeating IDs? Question: I have a data frame that looks like this: user_id tweet_id tweet user123 7658j dogs are super user245 66721 yes dogs are super user245 6d343 yes cats are also super <…> <…> <…> user245 541238 well I developed allergy on cates As …
Random Sample of a subset of a dataframe in Pandas Question: I have a pandas DataFrame with 100,000 rows and want to split it into 100 sections with 1000 rows in each of them. How do I draw a random sample of certain size (e.g. 50 rows) of just one of the 100 sections? The …
How to incrementally sample without replacement? Question: Python has my_sample = random.sample(range(100), 10) to randomly sample without replacement from [0, 100). Suppose I have sampled n such numbers and now I want to sample one more without replacement (without including any of the previously sampled n), how to do so super efficiently? update: changed from …
How to generate a random list of fixed length of values from given range? Question: How to generate a random (but unique and sorted) list of a fixed given length out of numbers of a given range in Python? Something like that: >>> list_length = 4 >>> values_range = [1, 30] >>> random_list(list_length, values_range) [1, …
