Ubuntu 20.04 常见文件解压 (实用)

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Ubuntu 20.04 常见文件解压 (实用)

2024-07-14 13:12| 来源: 网络整理| 查看: 265

pycharm在画图时,汉字显示成方框。

Dr_AzEn: 完美解决,谢谢大佬

chat GPT已注册,还有40卢比

原野的冯: import pandas as pd import numpy as np from scipy.cluster.vq import whiten### data = pd.read_csv("C:/data.csv") data.head() X = data.drop(['labels'],axis=1) Y = data.loc[:,'labels'] pd.value_counts(Y) # 可视化数据 from matplotlib import pyplot as plt fig1 = plt.figure() label0 = plt.scatter(X.loc[:,'V1'][Y==0],X.loc[:,'V2'][Y==0]) label1 = plt.scatter(X.loc[:,'V1'][Y==1],X.loc[:,'V2'][Y==1]) label2 = plt.scatter(X.loc[:,'V1'][Y==2],X.loc[:,'V2'][Y==2]) plt.title("un-labeld data") plt.xlabel("V1") plt.ylabel("V2") plt.legend((label0,label1,label2),('label0','label1','label2')) plt.show() from sklearn.cluster import KMeans KM=KMeans(n_clusters=3,random_state=0) KM.fit(X) centers = KM.cluster_centers_ # centers fig2 = plt.figure() label0 = plt.scatter(X.loc[:,'V1'][Y==0],X.loc[:,'V2'][Y==0]) label1 = plt.scatter(X.loc[:,'V1'][Y==1],X.loc[:,'V2'][Y==1]) label2 = plt.scatter(X.loc[:,'V1'][Y==2],X.loc[:,'V2'][Y==2]) plt.title("un-labeld data") plt.xlabel("V1") plt.ylabel("V2") plt.legend((label0,label1,label2),('label0','label1','label2')) plt.scatter(centers[:,0],centers[:,1]) plt.show() y_predict = KM.predict(X) pd.value_counts(y_predict) from sklearn.metrics import accuracy_score accuracy = accuracy_score(Y, y_predict) #print("accuracy_original: ", accuracy) # 进行数据一次校正 y_corrected_1 = [] for i in y_predict: if i==0: y_corrected_1.append(1) elif i==1: y_corrected_1.append(0) else: y_corrected_1.append(2) accuracy_original = accuracy_score(Y,y_corrected_1) print("accuracy_original:",accuracy_original) fig3 = plt.subplot(121) label0 = plt.scatter(X.loc[:,'V1'][Y==0],X.loc[:,'V2'][Y==0]) label1 = plt.scatter(X.loc[:,'V1'][Y==1],X.loc[:,'V2'][Y==1]) label2 = plt.scatter(X.loc[:,'V1'][Y==2],X.loc[:,'V2'][Y==2]) plt.title("un-labeld data") plt.xlabel("V1") plt.ylabel("V2") plt.legend((label0,label1,label2),('label0','label1','label2')) fig4 = plt.subplot(122) label0 = plt.scatt

vn.py开源量化框架把我整蒙了,开始填坑。

资深quant: 陈晓优的代码版来历不明,是上班公司的代码,如果无著作权转让,那陈晓优就不是原始作者。而且每一个FORK都是对别的Pyqt开源协议的侵权



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