I have a string of numbers like this: I have a numpy array of numbers like this: I’d like to add the line of numbers in the string to the numbers in the array, and keep the result in the array. Is there a simple/elegant way to do this using numpy or python? Answer You can use numpy.fromstring. Output:
Tag: numpy
How to find points of the x axis corresponding to the values of y equal to some value
I have a sine signal defined by two lists enter image description here and I want to know the points of conductance (s) at which the voltage is 0.5. I did it wit this code: voltage = […] conductance = […] edges = [] for n in voltage: if n == 0: pass elif voltage[n] > 0.5 and voltage[n-1] <
Fastest way to get all first-matched rows given a sequence of column values in Pandas
Say I have a Pandas dataframe with 10 rows and 2 columns. Now that I am given a sequence of ‘col1’ values in a numpy array： I want to find the rows that have the first occurence of 3, 1 and 2 in ‘col1’, and then get the corresponding ‘col2’ values in order. Right now I am using a list
Optimization problem for S-I-S model using python
I have a susceptible-infectious-susceptible model, to which I’ve written the following python code, And I’m solving it using the following code, This part is fine. I’m having trouble finding the double derivative and optimizing it for the value of the beta parameter. The problem is that the beta is not given and since that parameter is within the exponential function,
Using np.select to change mix data types (int and str) in a Pandas column
I’ve been trying to map a column from my df into 4 categories (binning) but, the column contains mixed values in it: int and str, it looks something like this: The categories I’ve been tring to change them to: This has been the way I’ve been trying to solve this: But, I get this error: ValueError: shape mismatch: objects cannot
AttributeError: ‘numpy.ndarray’ object has no attribute
I am applying selectKbest feature selection technique but it is giving me the following error: here is the portion of my code: (Note: the original data is in CSV format) Answer X is a numpy array, and you can only call the .columns method on a dataframe. You need to convert to a dataframe first, then call the method.
How to Merge arrays generated from the for loop
for a example: I have array a my current code Current output: Required output: 1)If i return the variable border in the above function it onlx gives the value of first array, so its returns both the arrays with print function. 2)How to combine both the array like mentioned below expected ouput Answer You could use an array to collect
how to use fromiter and ndnumerate together
I’m currently trying to manually implement a function to represent the KNN graph of a set of points as an incidence matrix, and my idea was to take the rows of an affinity matrix(n x n matrix representing the distance between the n points), enumerate and sort them, then return indices for the first K elements the errors I get
numpy.reshape breaks when dealing with a view of a big size
I have an initial NumPy array of size (512,512,100) of type np.float64 and then I use view_as_windows function to get an array of size (499,499,100,64,64). This function returns a view that consumes much less memory than an actual NumPy array. I want to reshape the view to (499*499*100,64,64). Using the regular np.reshape function, it takes too much time trying to
SUM specific column values that have integers where row meets a condition and place in new row
I wish to SUM the first two column values that have numbers where row == ‘BB’ and place in new row below Data Desired Doing I am taking the sum row 2 and columns 1 and 2 Any suggestion is appreciated. Answer you can use rolling window to calculate the sum of pair of two columns, then concat the result