Python list与NumPy array 区分详解

2023-08-09 19:05:04 298

1.数据类型type()

#!/usr/bin/envpython
#-*-coding:utf-8-*-
#YongqiangCheng

from__future__importabsolute_import
from__future__importprint_function
from__future__importdivision

importos
importsys

sys.path.append(os.path.dirname(os.path.abspath(__file__))+'/..')
current_directory=os.path.dirname(os.path.abspath(__file__))

importnumpyasnp
#importtensorflowastf
importcv2
importtime

print(16*"++--")
print("current_directory:",current_directory)

PIXEL_MEAN=[123.68,116.779,103.939]#R,G,B.InTensorFlow,channelisRGB.InOpenCV,channelisBGR.
print("Pythonlist")
print("PIXEL_MEAN:",PIXEL_MEAN)
print("type(PIXEL_MEAN):",type(PIXEL_MEAN))
print("type(PIXEL_MEAN[0]):",type(PIXEL_MEAN[0]),"\n")

PIXEL_MEAN_array=np.array(PIXEL_MEAN)
print("NumPyarray")
print("PIXEL_MEAN_array:",PIXEL_MEAN_array)
print("type(PIXEL_MEAN_array):",type(PIXEL_MEAN_array))
print("type(PIXEL_MEAN_array[0]):",type(PIXEL_MEAN_array[0]))
print("PIXEL_MEAN_array.dtype:",PIXEL_MEAN_array.dtype)

/usr/bin/python2.7/home/strong/tensorflow_work/R2CNN_Faster-RCNN_Tensorflow/yongqiang.py--gpu=0
++--++--++--++--++--++--++--++--++--++--++--++--++--++--++--++--
current_directory:/home/strong/tensorflow_work/R2CNN_Faster-RCNN_Tensorflow
Pythonlist
PIXEL_MEAN:[123.68,116.779,103.939]
type(PIXEL_MEAN):
type(PIXEL_MEAN[0]):

NumPyarray
PIXEL_MEAN_array:[123.68116.779103.939]
type(PIXEL_MEAN_array):
type(PIXEL_MEAN_array[0]):
PIXEL_MEAN_array.dtype:float64

Processfinishedwithexitcode0

2.数据融合(datafusion)

#!/usr/bin/envpython
#-*-coding:utf-8-*-
#YongqiangCheng

from__future__importabsolute_import
from__future__importprint_function
from__future__importdivision

importos
importsys

sys.path.append(os.path.dirname(os.path.abspath(__file__))+'/..')
current_directory=os.path.dirname(os.path.abspath(__file__))

importnumpyasnp
#importtensorflowastf
importcv2
importtime

print(16*"++--")
print("current_directory:",current_directory)

PIXEL_MEAN=[123.68,116.779,103.939]#R,G,B.InTensorFlow,channelisRGB.InOpenCV,channelisBGR.
print("Pythonlist")
print("PIXEL_MEAN:",PIXEL_MEAN)
print("type(PIXEL_MEAN):",type(PIXEL_MEAN))
print("type(PIXEL_MEAN[0]):",type(PIXEL_MEAN[0]),"\n")

PIXEL_MEAN_array=np.array(PIXEL_MEAN)
print("NumPyarray")
print("PIXEL_MEAN_array:",PIXEL_MEAN_array)
print("type(PIXEL_MEAN_array):",type(PIXEL_MEAN_array))
print("type(PIXEL_MEAN_array[0]):",type(PIXEL_MEAN_array[0]))
print("PIXEL_MEAN_array.dtype:",PIXEL_MEAN_array.dtype,"\n")

image_array=np.array(
[[[1,2,3],[4,5,6],[7,8,9],[10,11,12]],[[21,22,23],[24,25,26],[27,28,29],[30,31,32]]])
print("image_array:",image_array)
print("type(image_array):",type(image_array))
print("type(image_array[0]):",type(image_array[0]))
print("image_array.dtype:",image_array.dtype,"\n")

image_array_fusion=image_array+np.array(PIXEL_MEAN)
print("image_array_fusion:",image_array_fusion)
print("type(image_array_fusion):",type(image_array_fusion))
print("type(image_array_fusion[0]):",type(image_array_fusion[0]))
print("image_array_fusion.dtype:",image_array_fusion.dtype)

/usr/bin/python2.7/home/strong/tensorflow_work/R2CNN_Faster-RCNN_Tensorflow/yongqiang.py--gpu=0
++--++--++--++--++--++--++--++--++--++--++--++--++--++--++--++--
current_directory:/home/strong/tensorflow_work/R2CNN_Faster-RCNN_Tensorflow
Pythonlist
PIXEL_MEAN:[123.68,116.779,103.939]
type(PIXEL_MEAN):
type(PIXEL_MEAN[0]):

NumPyarray
PIXEL_MEAN_array:[123.68116.779103.939]
type(PIXEL_MEAN_array):
type(PIXEL_MEAN_array[0]):
PIXEL_MEAN_array.dtype:float64

image_array:[[[123]
[456]
[789]
[101112]]

[[212223]
[242526]
[272829]
[303132]]]
type(image_array):
type(image_array[0]):
image_array.dtype:int64

image_array_fusion:[[[124.68118.779106.939]
[127.68121.779109.939]
[130.68124.779112.939]
[133.68127.779115.939]]

[[144.68138.779126.939]
[147.68141.779129.939]
[150.68144.779132.939]
[153.68147.779135.939]]]
type(image_array_fusion):
type(image_array_fusion[0]):
image_array_fusion.dtype:float64

Processfinishedwithexitcode0

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Python list与NumPy array 区分详解

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