## Numpy multiple min indices 3d array [closed]

I have a numpy array of shape (9, 200, 200). I would like to get a list of the indices of the minimum value for each of the 0th dimension rows. For example, my output would be a 200 by 200 array with …

## Way to create numpy array to contain only unique elements for lists within it

I have a numpy array A which looks like this: array([list([‘nan’, ‘nan’]), list([‘nan’, ‘nan’, ‘apple’, ‘apple’, ‘banana’, ‘nan’, ‘nan’]), list([‘red’, ‘red’]), …, list([‘nan’, ‘…

## ValueError: operands could not be broadcast together with shapes (31,2) (2,31)

I’m trying to plot 2 arrays but I’m receiving this error while passing to the function. Not really sure what is causing this error. 1 def plotModel(x, y, w): 2 plt.plot(x[:,1], y, “x”) …

## Multiply by the factor the number of times that the position appears in the array (Python)

I’m trying to get a “pythonic” way or using a library (anything except “for” loops) for doing this. my_array = np.array([2,4,6]) my_array[[0,2,0]] = my_array[[0,2,0]] * 2 Expected …

## How to define an array without defining its elements?

I want to optimize a problem in Python using scipy. To achieve this goal: I define an array of a certain length, but without defining its elements explicitly. Then, I need to use this array to …

## Cumulatively merge rows with the same index

In python pandas, I have a dataframe which looks something like this: > df count date 2021-04-03 23.0 2021-04-04 12.0 2021-04-04 10.0 2021-04-05 42.0 2021-04-06 …

## Conformal plotting python

I’m working on the joukowsky transformation for plotting airfoils and I’m trying to do so with python. The conformal mapping should be pretty straight forward but can’t seem to find a guide on how to …

## How to Install Numpy in PyPy on Windows

I want to install Numpy on PyPy on windows but I cannot. Here is my errors: ERROR: Command errored out with exit status 1: command: ‘C:pypy3.7-v7.3.4-win64pypy3.exe’ ‘C:pypy3.7-v7.3.4-win64…

## comparing numpy arrays with np.allclose()

I am new to Python. I cannot understand the behavior of the following code (I am trying to create a unit test for something): import numpy as np input = np.array([0, 2]) result = 1 / (1 + …

## how to convert Exponential value into Int in Graph

plt.figure(figsize=(28,8)) plt.xticks(rotation=90) a = df2.groupby(‘Province/State’)[‘Confirmed’].sum().astype(‘int64’) print(a) a.plot(kind = ‘bar’) When I am trying to create graph for above code …