I have a column in a dataframe which contains an array of numbers from 1 to 5 and I have an array containing five words. I would like to find the simplest, most compact and most elegant way in Python to “in place” replace the numbers in the column with the corresponding words. For example: I am certain that the
Tag: arrays
Python find the unique values in a spesific column. 2d array
Good day. If I have the following array: How can I change the array to only show data from user pear? I want to collect all the values from column 1 of user pear. (12, 14) Or alrternatively how can I find the values that are unique in colum 2, e.g. apples, pear and bannana. And then filter by pear
How to slice and calculate the pearson correlation coefficient between one big and small array with “overlapping” windows arrays
Suppose I have two very simple arrays with numpy: I would like to find which slice of array reference has the highest pearson’s correlation coefficient with array probe. To do that, I would like to slice the array reference using some sort of sub-arrays that are overlapped in a for loop, which means I shift one element at a time
Why am I getting TypeError: list indices must be integers or slices and not the float value while finding Median of two sorted arrays?
I have two sorted arrays and I am trying to find median of two sorted arrays.For example,if input is nums1 = [1,3], nums2 = [2] then the output will median=2.00000 and if the input is p = [1,2], t = [3,4] then the output will be median=2.50000 I have added both the arrays together and sorted them and later by
New list based on indices from another list in Python
I have an array X and a list A1. I want to create a new list B1 such that it consists of values from X corresponding to indices in A1. For example, the code should pick values from X[0] for indices in A1[0] and so on…I present the current and expected outputs. The current output is The expected output is
Transform a 3D numpy array to 1D based on column value
Maybe this is a very simple task, but I have a numpy.ndarray with shape (1988,3). I want to create a 1D array with shape=(1988,) that will have values corresponding to the column of my 3D array that has a value of 1. For example, How can I do this? Answer You can use numpy.nonzero: Output: array([0, 1, 2, 1, 0,
Geometric series: calculate quotient and number of elements from sum and first & last element
Creating evenly spaced numbers on a log scale (a geometric progression) can easily be done for a given base and number of elements if the starting and final values of the sequence are known, e.g., with numpy.logspace and numpy.geomspace. Now assume I want to define the geometric progression the other way around, i.e., based on the properties of the resulting
Nested arrays in Avro
I would like to store two-dimensional arrays of numbers in Avro. I have tried the following: But when I tried to read it with the parser: I get the following error: Answer It looks like you have one too many type keys. You schema should be this instead:
TypeError: unsupported operand type(s) for /: ‘list’ and ‘int’ solution is an array
I solved an equation, the answer is an array. I am trying to use the answer for a new equation. I wrote a sample code to explain my problem! Answer I see you want to “use the answer for a new equation”. The previous equation solution is a, a list with 1 element [1] then you can use a[0] in
numpy slicing using multiple conditions where one of the conditions searches the neighborhood of an element
the problem is to take a black-white image, detect all the places where white borders on black, keep that white, and turn all other white pixels black. I know how to do this using normal for-loops and lists, but I want to do it w/ numpy, which I am not that familiar with. Here is what I have so far: