Why Python for Data Analysis? Python has become the go-to language for data analysis due to its simplicity, versatility, and powerful ecosystem. Its extensive libraries make it easy to perform complex data manipulations, create stunning visualizations, and apply statistical models. Python's popularity...
data_for_analysis_1['Seconds'] = data_for_analysis_1.Seconds.astype(str)进行统计学上的Shapiro'...
1、数据来源import numpy as np import pandas as pd import pyecharts data1 = pd.read_csv(...
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data = load_iris(as_frame=True) X,y = data.data,data.target df = data.frame # 模型训练 iforest = IsolationForest(n_estimators=100, max_samples='auto', contamination=0.05, max_features=4, bootstrap=False, n_jobs=-1, random_...
(grouped) data = [[i['员工福利'],i['数量']] for i in grouped.to_dict(orient='records')] print(data) return data if __name__ == '__main__': client = MongoClient() collection = client['test']['wuyou_job'] # 取数据并且去掉id字段 jobs = collection.find({}, {'_id': 0...
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'Referer':'https://www.lagou.com/jobs/list_python%E5%BC%80%E5%8F%91?labelWords=&;fromSearch=true&suginput=', 'X-Anit-Forge-Code': '0', 'X-Anit-Forge-Token': 'None', 'X-Requested-With': 'XMLHttpRequest' } data = {
# 建立knnknn = KNeighborsClassifier(n_neighbors=3, n_jobs=-1)knn.fit(X_train_scaled, y_train)y_pred = knn.predict(X_val_scaled)print('Simple KNeighborsClassifier accuracy：%.3f' % (accuracy_score(y_val, y_pred)))print('Simple KNeighborsClassifier f1_score: %.3f' % (f1_score(y_...
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