coco
89 lines
2.1 KiB
Python
89 lines
2.1 KiB
Python
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# coding: utf-8
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# *排卵试纸机器学习算法验证*
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# **import moudle**
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# In[3]:
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import numpy as np
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import pandas as pd
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import seaborn as sns
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from IPython.display import display
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import matplotlib.pyplot as plt
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from mpl_toolkits.mplot3d import Axes3D
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try :
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data_iphone6p_75_10 = pd.read_csv("20170912am.csv")
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print "load data successful !!!!!"
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except :
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print "load data error !!!!!!!!!!"
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# **分析数据**
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# In[40]:
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# In[48]:
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data2= data_iphone6p_75_10
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data1 = data2[data2["whiteBalance"] == 1 ]
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whiteBlock_R_one =data1[data1["index"] == 7 ]["left_block_R"]
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whiteBlock_G_one = data1[data1["index"] == 7 ]["left_block_G"]
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whiteBlock_B_one = data1[data1["index"] == 7 ]["left_block_B"]
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whiteBlock_R_two = data1[data1["index"] == 8 ]["left_block_R"]
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whiteBlock_G_two = data1[data1["index"] == 8 ]["left_block_G"]
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whiteBlock_B_two = data1[data1["index"] == 8 ]["left_block_B"]
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whiteBlock_R_three = data1[data1["index"] == 5 ]["left_block_R"]
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whiteBlock_G_three = data1[data1["index"] == 5 ]["left_block_G"]
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whiteBlock_B_three = data1[data1["index"] == 5 ]["left_block_B"]
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whiteBlock_R_four = data1[data1["index"] == 6 ]["left_block_R"]
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whiteBlock_G_four = data1[data1["index"] == 6 ]["left_block_G"]
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whiteBlock_B_four = data1[data1["index"] == 6 ]["left_block_B"]
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# In[49]:
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fig = plt.figure()
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#plt.rcParams["figure.figsize"] = 20,20
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ax = Axes3D(fig)
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ax.set_xlim(0,255)
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ax.set_ylim(0,255)
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ax.set_zlim(0,255)
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ax.set_xlabel('R')
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ax.set_ylabel('G')
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ax.set_zlabel('B')
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ax.set_title('RGB colorspace')
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# ax.scatter(whiteBlock_R_zero, whiteBlock_G_zero, whiteBlock_B_zero,s = 15,c='y')
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ax.scatter(whiteBlock_R_one, whiteBlock_G_one, whiteBlock_B_one,s = 15,c='r')
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ax.scatter(whiteBlock_R_two, whiteBlock_G_two, whiteBlock_B_two,s = 15,c='g')
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ax.scatter(whiteBlock_R_three, whiteBlock_G_three, whiteBlock_B_three,s = 15,c='b')
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ax.scatter(whiteBlock_R_four, whiteBlock_G_four, whiteBlock_B_four,s = 15,c='y')
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#ax.scatter(whiteBlock_R_five, whiteBlock_G_five, whiteBlock_B_five,s = 15,c='y')
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#ax.scatter(whiteBlock_R_six, whiteBlock_G_six, whiteBlock_B_six,s = 15,c='c')
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plt.show()
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