Mapping values in NumPy arrays (any shape!) with high speed - Cython -
Project description
Mapping values in NumPy arrays (any shape!) with high speed - Cython -
pip install nparraymapper
Tested against Python 3.11 / Windows 10
Cython (and a C/C++ compiler) must be installed to use the optimized Cython implementation.
This module provides functions for mapping values in NumPy arrays based on a specified mapping dictionary. It works on any shape and with almost all dtypes (OBJECT NOT!!!)
It always returns a copy! The original data doesn't change!
import numpy as np
from nparraymapper import map_numpy_array, map_array_with_strings
np.random.seed(0)
a = np.random.randint(1, 9, (10000, 10000, 4))
ds = map_numpy_array(a, mapdict={4: 400000, 3: 1021, 2: -1}, keepnotmapped=True)
print(a)
print(ds)
print('----------------------------')
a = np.random.randint(2, 9, (100, 100, 3), dtype=np.uint32)
ds = map_numpy_array(a, mapdict={4: 4000.1232, 3: 1021.32}, keepnotmapped=True)
print(a)
print(ds)
print('----------------------------')
a = np.random.randint(2, 9, (1000, 100, 8)).astype(np.float32)
ds = map_numpy_array(a, mapdict={4: 40, 3: 1021}, keepnotmapped=False)
print(a)
print(ds)
print('----------------------------')
subsdi = {110: 'babça', 14: 'bsdfvd', 9: 'çbba'}
src = np.random.randint(1, 12, (1000, 1000, 3))
print(src)
out = map_array_with_strings(src, mapdict=subsdi)
print(out)
# [[[5 8 6 1]
# [4 4 4 8]
# [2 4 6 3]
# ...
# [6 4 4 4]
# [2 5 8 2]
# [3 7 5 5]]
# [[6 1 4 1]
# [1 2 5 8]
# [1 7 6 5]
# ...
# [6 7 7 1]
# [5 5 4 7]
# [5 8 7 6]]
# [[1 2 8 5]
# [2 2 8 6]
# [1 3 4 4]
# ...
# [3 4 3 2]
# [4 6 8 5]
# [4 7 6 4]]
# ...
# [[2 7 5 5]
# [2 2 8 8]
# [8 8 7 8]
# ...
# [8 7 5 8]
# [4 6 5 8]
# [3 8 5 8]]
# [[6 4 1 5]
# [1 7 7 1]
# [2 4 5 3]
# ...
# [1 5 5 4]
# [1 8 6 7]
# [4 5 8 4]]
# [[4 2 3 5]
# [5 7 8 2]
# [1 3 4 6]
# ...
# [3 8 1 5]
# [7 8 4 3]
# [6 8 3 4]]]
# [[[ 5 8 6 1]
# [400000 400000 400000 8]
# [ -1 400000 6 1021]
# ...
# [ 6 400000 400000 400000]
# [ -1 5 8 -1]
# [ 1021 7 5 5]]
# [[ 6 1 400000 1]
# [ 1 -1 5 8]
# [ 1 7 6 5]
# ...
# [ 6 7 7 1]
# [ 5 5 400000 7]
# [ 5 8 7 6]]
# [[ 1 -1 8 5]
# [ -1 -1 8 6]
# [ 1 1021 400000 400000]
# ...
# [ 1021 400000 1021 -1]
# [400000 6 8 5]
# [400000 7 6 400000]]
# ...
# [[ -1 7 5 5]
# [ -1 -1 8 8]
# [ 8 8 7 8]
# ...
# [ 8 7 5 8]
# [400000 6 5 8]
# [ 1021 8 5 8]]
# [[ 6 400000 1 5]
# [ 1 7 7 1]
# [ -1 400000 5 1021]
# ...
# [ 1 5 5 400000]
# [ 1 8 6 7]
# [400000 5 8 400000]]
# [[400000 -1 1021 5]
# [ 5 7 8 -1]
# [ 1 1021 400000 6]
# ...
# [ 1021 8 1 5]
# [ 7 8 400000 1021]
# [ 6 8 1021 400000]]]
# ----------------------------
# [[[2 8 2]
# [3 4 3]
# [2 7 7]
# ...
# [4 6 4]
# [3 7 5]
# [7 7 8]]
# [[4 4 4]
# [2 7 4]
# [2 7 2]
# ...
# [2 7 8]
# [4 6 8]
# [8 8 7]]
# [[6 5 3]
# [5 5 5]
# [8 6 3]
# ...
# [4 3 6]
# [4 6 7]
# [2 8 7]]
# ...
# [[3 3 4]
# [8 4 4]
# [5 5 2]
# ...
# [4 2 5]
# [7 3 7]
# [6 5 2]]
# [[3 3 2]
# [4 6 5]
# [8 8 4]
# ...
# [7 7 5]
# [6 6 2]
# [7 5 4]]
# [[5 8 2]
# [8 5 4]
# [6 7 6]
# ...
# [4 8 6]
# [2 8 3]
# [2 8 4]]]
# [[[2.0000000e+00 8.0000000e+00 2.0000000e+00]
# [1.0213200e+03 4.0001232e+03 1.0213200e+03]
# [2.0000000e+00 7.0000000e+00 7.0000000e+00]
# ...
# [4.0001232e+03 6.0000000e+00 4.0001232e+03]
# [1.0213200e+03 7.0000000e+00 5.0000000e+00]
# [7.0000000e+00 7.0000000e+00 8.0000000e+00]]
# [[4.0001232e+03 4.0001232e+03 4.0001232e+03]
# [2.0000000e+00 7.0000000e+00 4.0001232e+03]
# [2.0000000e+00 7.0000000e+00 2.0000000e+00]
# ...
# [2.0000000e+00 7.0000000e+00 8.0000000e+00]
# [4.0001232e+03 6.0000000e+00 8.0000000e+00]
# [8.0000000e+00 8.0000000e+00 7.0000000e+00]]
# [[6.0000000e+00 5.0000000e+00 1.0213200e+03]
# [5.0000000e+00 5.0000000e+00 5.0000000e+00]
# [8.0000000e+00 6.0000000e+00 1.0213200e+03]
# ...
# [4.0001232e+03 1.0213200e+03 6.0000000e+00]
# [4.0001232e+03 6.0000000e+00 7.0000000e+00]
# [2.0000000e+00 8.0000000e+00 7.0000000e+00]]
# ...
# [[1.0213200e+03 1.0213200e+03 4.0001232e+03]
# [8.0000000e+00 4.0001232e+03 4.0001232e+03]
# [5.0000000e+00 5.0000000e+00 2.0000000e+00]
# ...
# [4.0001232e+03 2.0000000e+00 5.0000000e+00]
# [7.0000000e+00 1.0213200e+03 7.0000000e+00]
# [6.0000000e+00 5.0000000e+00 2.0000000e+00]]
# [[1.0213200e+03 1.0213200e+03 2.0000000e+00]
# [4.0001232e+03 6.0000000e+00 5.0000000e+00]
# [8.0000000e+00 8.0000000e+00 4.0001232e+03]
# ...
# [7.0000000e+00 7.0000000e+00 5.0000000e+00]
# [6.0000000e+00 6.0000000e+00 2.0000000e+00]
# [7.0000000e+00 5.0000000e+00 4.0001232e+03]]
# [[5.0000000e+00 8.0000000e+00 2.0000000e+00]
# [8.0000000e+00 5.0000000e+00 4.0001232e+03]
# [6.0000000e+00 7.0000000e+00 6.0000000e+00]
# ...
# [4.0001232e+03 8.0000000e+00 6.0000000e+00]
# [2.0000000e+00 8.0000000e+00 1.0213200e+03]
# [2.0000000e+00 8.0000000e+00 4.0001232e+03]]]
# ----------------------------
# [[[2. 2. 4. ... 7. 5. 4.]
# [7. 3. 4. ... 4. 7. 3.]
# [5. 2. 3. ... 8. 6. 6.]
# ...
# [4. 2. 2. ... 5. 5. 4.]
# [4. 5. 8. ... 4. 2. 2.]
# [5. 2. 6. ... 6. 2. 8.]]
# [[7. 5. 7. ... 2. 4. 8.]
# [6. 4. 6. ... 8. 5. 4.]
# [4. 8. 7. ... 6. 6. 8.]
# ...
# [5. 7. 4. ... 5. 8. 7.]
# [3. 2. 8. ... 7. 6. 4.]
# [5. 6. 2. ... 3. 4. 4.]]
# [[2. 2. 3. ... 3. 2. 3.]
# [7. 2. 2. ... 6. 7. 8.]
# [8. 5. 7. ... 3. 6. 3.]
# ...
# [3. 8. 5. ... 6. 8. 5.]
# [6. 8. 2. ... 2. 3. 4.]
# [2. 7. 4. ... 2. 5. 2.]]
# ...
# [[4. 6. 3. ... 7. 6. 2.]
# [4. 4. 2. ... 5. 8. 4.]
# [6. 7. 8. ... 4. 2. 6.]
# ...
# [7. 3. 6. ... 2. 7. 4.]
# [2. 6. 7. ... 3. 5. 3.]
# [5. 4. 8. ... 3. 4. 5.]]
# [[8. 7. 8. ... 5. 8. 2.]
# [7. 3. 2. ... 5. 4. 8.]
# [4. 8. 8. ... 2. 2. 5.]
# ...
# [6. 3. 2. ... 4. 6. 7.]
# [7. 7. 6. ... 2. 7. 3.]
# [8. 4. 3. ... 3. 6. 8.]]
# [[6. 3. 4. ... 2. 7. 7.]
# [2. 3. 6. ... 3. 5. 6.]
# [7. 6. 2. ... 7. 6. 8.]
# ...
# [4. 3. 2. ... 3. 4. 3.]
# [6. 2. 5. ... 2. 5. 5.]
# [7. 8. 4. ... 7. 7. 8.]]]
# [[[ 0 0 40 ... 0 0 40]
# [ 0 1021 40 ... 40 0 1021]
# [ 0 0 1021 ... 0 0 0]
# ...
# [ 40 0 0 ... 0 0 40]
# [ 40 0 0 ... 40 0 0]
# [ 0 0 0 ... 0 0 0]]
# [[ 0 0 0 ... 0 40 0]
# [ 0 40 0 ... 0 0 40]
# [ 40 0 0 ... 0 0 0]
# ...
# [ 0 0 40 ... 0 0 0]
# [1021 0 0 ... 0 0 40]
# [ 0 0 0 ... 1021 40 40]]
# [[ 0 0 1021 ... 1021 0 1021]
# [ 0 0 0 ... 0 0 0]
# [ 0 0 0 ... 1021 0 1021]
# ...
# [1021 0 0 ... 0 0 0]
# [ 0 0 0 ... 0 1021 40]
# [ 0 0 40 ... 0 0 0]]
# ...
# [[ 40 0 1021 ... 0 0 0]
# [ 40 40 0 ... 0 0 40]
# [ 0 0 0 ... 40 0 0]
# ...
# [ 0 1021 0 ... 0 0 40]
# [ 0 0 0 ... 1021 0 1021]
# [ 0 40 0 ... 1021 40 0]]
# [[ 0 0 0 ... 0 0 0]
# [ 0 1021 0 ... 0 40 0]
# [ 40 0 0 ... 0 0 0]
# ...
# [ 0 1021 0 ... 40 0 0]
# [ 0 0 0 ... 0 0 1021]
# [ 0 40 1021 ... 1021 0 0]]
# [[ 0 1021 40 ... 0 0 0]
# [ 0 1021 0 ... 1021 0 0]
# [ 0 0 0 ... 0 0 0]
# ...
# [ 40 1021 0 ... 1021 40 1021]
# [ 0 0 0 ... 0 0 0]
# [ 0 0 40 ... 0 0 0]]]
# ----------------------------
# [[[ 3 4 11]
# [ 2 9 6]
# [ 5 5 5]
# ...
# [11 9 3]
# [ 9 3 10]
# [ 5 5 4]]
# [[ 5 6 8]
# [ 7 8 9]
# [ 9 8 9]
# ...
# [ 5 6 11]
# [ 7 5 9]
# [ 1 11 3]]
# [[ 3 3 10]
# [ 4 7 2]
# [ 5 1 9]
# ...
# [11 8 5]
# [ 6 11 11]
# [ 2 10 1]]
# ...
# [[ 1 4 6]
# [ 8 7 6]
# [10 3 2]
# ...
# [10 8 3]
# [ 7 7 11]
# [ 7 7 7]]
# [[ 3 8 6]
# [ 5 5 6]
# [ 7 7 7]
# ...
# [ 1 9 9]
# [ 9 3 9]
# [10 9 3]]
# [[ 2 9 11]
# [ 7 7 9]
# [10 11 3]
# ...
# [ 6 7 11]
# [11 3 4]
# [ 5 3 2]]]
# [[['' '' '']
# ['' 'çbba' '']
# ['' '' '']
# ...
# ['' 'çbba' '']
# ['çbba' '' '']
# ['' '' '']]
# [['' '' '']
# ['' '' 'çbba']
# ['çbba' '' 'çbba']
# ...
# ['' '' '']
# ['' '' 'çbba']
# ['' '' '']]
# [['' '' '']
# ['' '' '']
# ['' '' 'çbba']
# ...
# ['' '' '']
# ['' '' '']
# ['' '' '']]
# ...
# [['' '' '']
# ['' '' '']
# ['' '' '']
# ...
# ['' '' '']
# ['' '' '']
# ['' '' '']]
# [['' '' '']
# ['' '' '']
# ['' '' '']
# ...
# ['' 'çbba' 'çbba']
# ['çbba' '' 'çbba']
# ['' 'çbba' '']]
# [['' 'çbba' '']
# ['' '' 'çbba']
# ['' '' '']
# ...
# ['' '' '']
# ['' '' '']
# ['' '' '']]]
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