In part two of this four-part tutorial series, you'll restore and prepare the data from a database using Python. Later in this series, you'll use this data to train and deploy a clustering model in Python with SQL Server Machine Learning Services or on Big Data Clusters. In this artic...
In part two of this four-part tutorial series, you'll prepare data from a database using Python. Later in this series, you'll use this data to train and deploy a linear regression model in Python with SQL Server Machine Learning Services or on SQL Server 2019 Big Data Clusters....
conn_str = pyodbc.connect('DRIVER={ODBC Driver 17 for SQL Server}; SERVER=<server>; DATABASE=tpcxbb_1gb; UID=<username>; PWD=<password>') input_query = '''SELECT ss_customer_sk AS customer, ROUND(COALESCE(returns_count / NULLIF(1.0*orders_count, 0), 0), 7) AS...
data=[10.0,20.0,30.0,40.0,50.0,60.0,70.0,80.0,90.0,100.0]series=Series(data)print(series)# prepare datafornormalization values=series.values values=values.reshape((len(values),1))# train the normalization scaler=MinMaxScaler(feature_range=(0,1))scaler=scaler.fit(values)print('Min: %f, Max: ...
# step 1 prepare data x = [] y = [] # step 2 create plot fig = plt.figure() ax = fig.add_subplot(111) # step 3 plot ax.plot() # step 4 customize # step 5 save plt.savefig('foo.png') # step 6 show plt.show() 4 axes in same plot using for loop import matplotlib.pyp...
midwest=pd.read_csv("https://raw.githubusercontent.com/selva86/datasets/master/midwest_filter.csv")# Prepare Data # Createasmany colorsasthere are unique midwest['category']categories=np.unique(midwest['category'])colors=[plt.cm.tab10(i/float(len(categories)-1))foriinrange(len(categories)...
prepare_data(box_data_edu)) box_epx_edu.set_global_opts( title_opts=opts.TitleOpts( title='不同学历、工作年限与薪资水平的关系' ,subtitle='数据取自:和鲸社区' ,pos_left='center' ), legend_opts=opts.LegendOpts( pos_right='1%' ,legend_icon='circle' ,item_width=10 ), yaxis_opts=...
conn_str = pyodbc.connect('DRIVER={ODBC Driver 17 for SQL Server}; SERVER=<server>; DATABASE=tpcxbb_1gb; UID=<username>; PWD=<password>') input_query = '''SELECT ss_customer_sk AS customer, ROUND(COALESCE(returns_count / NULLIF(1.0*orders_count, 0), 0), 7) AS orderRatio, ROUND...
# Prepare datadf['year'] = [d.year for d in df.date]df['month'] = [d.strftime('%b') for d in df.date]years = df['year'].unique() # Draw Plotfig, axes = plt.subplots(1, 2, figsize=(20,7), dpi= 80)sns.boxplo...
connect(host='10.154.70.231', port='8000', database='gaussdb', # 需要连接的database user='dbadmin', password='password') # 数据库用户密码 在命令提示符窗口中,执行以下命令,使用psycopg第三方库连接集群。 python python_dws.py psycopg2连接集群不支持CN Retry特性的问题说明 GaussDB(DWS)支持在SQL...