/Python/Numpy how to apply interpolation all rows

Numpy how to apply interpolation all rows

import numpy as np
from scipy.interpolate import interp1d

# generate some example data
W = 3
H = 10
M = 5

A2 = np.arange(W * M).reshape(W, M)
print(A2)
# [[ 0  1  2  3  4]
#  [ 5  6  7  8  9]
#  [10 11 12 13 14]]

# the initial column indices for A2
x = np.arange(M)

# we create a scipy.interpolate.interp1d instance
itp_A2 = interp1d(x, A2, kind='nearest')

# the output column coordinates for A1
xi = np.linspace(0, M - 1, H)

# we get the interpolated output by calling the interp1d instance with the
# output coordinates
A1 = itp_A2(xi)
print(A1)
# [[  0.   0.   1.   1.   2.   2.   3.   3.   4.   4.]
#  [  5.   5.   6.   6.   7.   7.   8.   8.   9.   9.]
#  [ 10.  10.  11.  11.  12.  12.  13.  13.  14.  14.]]

Source: stackoverflow.com

Similar codes

0 vote208 views1 answer
Cache_data = pickle.load(fIn) EOFError: Ran out of input
Python
0 vote200 views1 answer
Pandas describe get mean min max
Python
2 votes172 views1 answer
What is the difference between the use of iloc and loc?
Python
0 vote285 views1 answer
Huffepuf
Python
5 votes212 views3 answers
Openpyxl delete rows
Python
1 vote191 views1 answer
Filter dataframe columns vy a list of columns
Python
1 vote194 views1 answer
How to join a string by new line out of a list python
Python
0 vote189 views1 answer
Constructing a Class with __init__ function
Python
3 votes199 views1 answer
How to close an application from python
Python
0 vote287 views3 answers
How to print tables using python
Python