I’m trying to create a displot where I see a histogram of three different variables (each one in a different column of a numpy array). I want each column to display as a different subplot in the facet grid, but I can’t seem to find a way to do this without turning my data into a dataframe. I have …
Tag: numpy
How to replace NaN value in column in Dataframe based on values from another column in same dataframe
Below is the Dataframe i’m working. I want to replace NaN values in ‘Score’ columns using values from column ‘Country’ and ‘Sectors’ Below is the code which I’ve tried I want to replace only NaN values specific to country == ‘USA’ and Sectors == R…
Loading the binary data to a NumPy array
I am having trouble reading the binary file. I have a NumPy array as, I wrote this array to a file in binary format. Now, I am unable to get back the data from the saved binary file. I tried using numpy.fromfile() but it didn’t work out for me. When I printed the data I got [0.00000000e+00 2.19335211e-1…
Visual Studio: unresolved import ‘numpy’
I am trying to run the code below which requires numpy. I installed it via pip install numpy. However, numpy gets highlighted in the editor with the note unresolved import ‘numpy’. When I try to run it I get the error No module named ‘numpy’. After I got the error the first time I unin…
object of type ‘numpy.float64’ has no len(): How can I fix this?
I’m trying to calculate the total number of values above 1.6 in my list of 10,000 numbers. I’ve tried a few ways: gives me the error in my title but the following works I want to try two methods to see validate my answer, how can i fix the first one so it works? Answer In the first code snippet,
Find minimum difference between two vectors with numba
I’ve tried to optimize searching for minimum value between two numpy vectors with numba. There is speed up and result is correct until I use prange and parallel=True option. I understand that the issue is in sharing variables min_val, tmp, min_val_idx_a, min_val_idx_b during parallel execution (maybe wi…
One Dataset causes “`IndexError: list index out of range“` while other runs perfectly
My Dataset In numpy array np.shape(data) -> (6989, 4) stats.describe(data) -> DescribeResult(nobs=6989, minmax=(array([0., 0., 0., 0.]), array([ 299.99, 86785. , 10997. , 13222. ])), mean=array([ 12.47994992, 3407.00243239, 27.23293747, 109.72370869]), variance=array([1.42652452e+02, 4.71755188e+07, 6.1…
Pandas quantile function not returning the correct number of given quantiles
I have a dataframe with over 2,000 records that has multiple columns with various balances. Based on the balance amount I want to assign it to a bucket. Trying to split each balance column into a quantile and have the following buckets 0.1,0.2,0.3,0.4,0.5,0.6,0.7,0.8,0.9 Concretely, translating the balances i…
Can this for loop be vectorized?
Can this for loop be vectorized maybe by expanding dimensions and then collapsing it? I got the hint from somewhere that I can replace with Answer It can be vectorized by expanding dimensions as you suggested. I think the secret sauce is using np.tril to zero out terms in the progression before summing:
replace client’s id with their respective name in shipment dictionary using a loop and dictionary comprehension
d1={101:{‘Sender’:1,’Receiver’:3,’Start date’:’14-03-2020′,’Delivery date’:’25-03-2020′,’Sender location’:’Area 1′,’Receiver location’:’Area 6′,’Delivery status’:’Delivered…