【问题描述】Quick BI使用openapi调用生成报表嵌入ticket的接口时报错“Required String parameter‘worksId’is not present”是什么原因？【问题原因】调用参数中没有添加setHttpContentType(FormatType.FORM)参数，将此参数添加之后接口...
问题描述 Quick BI调用生成ticket三方嵌入票据信息的接口时报错：“Required String parameter 'worksId' is not present”是什么原因？问题原因 OpenAPI SDK版本1.3.0过低，且该接口需要表单传参。解决方案 将版本升级成1.3.7，且调用时...
file_resource=o.create_resource('pyodps_iris_file','file',file_obj='Iris-setosa')iris_names_collection=iris.distinct('name')[:2]iris_names_collection sepallength 0 Iris-setosa 1 Iris-versicolor def myfunc(resources):#...
为 Table.open_reader 或者 Table.open_writer 接口在读写时所使用的数据结构，也用于Tunnel接口 TableDownloadSession.open_record_reader 或者 TableUploadSession.open_record_writer。在Table对象上调用 new_record 方法即可创建一个新...
from odps.df import DataFrame iris=DataFrame(o.get_table('pyodps_iris'))常用聚合操作如下：使用 describe 函数，查看DataFrame里数字列的数量、最大值、最小值、平均值以及标准差。print(iris.describe())返回结果如下。type sepal_...
1.5,0.4,"Iris-setosa"5.4,3.9,1.3,0.4,"Iris-setosa"5.1,3.5,1.4,0.3,"Iris-setosa"5.7,3.8,1.7,0.3,"Iris-setosa"5.1,3.8,1.5,0.3,"Iris-setosa"5.4,3.4,1.7,0.2,"Iris-setosa"5.1,3.7,1.5,0.4,"Iris-setosa"5.1,3.3,1.7,0.5,"Iris-...
print iris.sample(n=100,weights='sepallength').head()print iris.sample(n=100,weights='sepalwidth',replace=True).head()#分层采样 print iris.sample(strata='name',n={'Iris-setosa':10,'Iris-versicolor':10}).head()print iris....
print(iris['name','sepallength'].head(5))返回结果：name sepallength 0 Iris-setosa 4.9 1 Iris-setosa 4.7 2 Iris-setosa 4.6 3 Iris-setosa 5.0 4 Iris-setosa 5.4 说明 如果只需要选取一列，需要在Columns后加上逗号或者显示标记为...
iris table.from odps.df import DataFrame iris=DataFrame(o.get_table('pyodps_iris'))for record in iris[iris.sepalwidth 3].execute():print(record)Display of details By default,options.verbose is enabled in DataWorks.This ...
20191010061606927g6emz192 sepallength sepalwidth petallength petalwidth name 0 5.7 4.4 1.5 0.4 Iris-setosa 1 5.5 4.2 1.4 0.2 Iris-setosa 2 5.2 4.1 1.5 0.1 Iris-setosa 3 5.8 4.0 1.2 0.2 Iris-setosa 4 5.4 3.9 1.3 0.4 Iris-...
iris2=iris[iris.sepalwidth 2.5].persist('pyodps_iris')print(iris2.head(5))返回结果：sepallength sepalwidth petallength petalwidth name 0 4.5 2.3 1.3 0.3 Iris-setosa 1 5.5 2.3 4.0 1.3 Iris-versicolor 2 4.9 2.4 3.3 1.0 Iris-...
setosa 250.3 1 1 Iris-setosa 250.3 2 2 Iris-setosa 250.3 3 3 Iris-setosa 250.3 4 4 Iris-setosa 250.3 5 5 Iris-setosa 250.3 6 6 Iris-setosa 250.3 7 7 Iris-setosa 250.3 8 8 Iris-setosa 250.3 9 9 Iris-setosa 250.3 10 窗口函数...
from odps.df import DataFrame iris=DataFrame(o.get_table('pyodps_iris'))print iris[['name']].distinct()print iris.distinct('name')print iris.distinct('name','sepallength').head(3)#您可以调用unique对Sequence进行去重操作，...
iris[['name']].distinct()name 0 Iris-setosa 1 Iris-versicolor 2 Iris-virginica iris.distinct('name')name 0 Iris-setosa 1 Iris-versicolor 2 Iris-virginica iris.distinct('name','sepallength').head(3)name sepallength 0 Iris-...
table('iristable_new'))#Get columns.print iris.sepallength.head(5)print iris['sepallength'].head(5)#View the data type of a column.print iris.sepallength.dtype#Change the data type of a column.iris.sepallength.astype('int'...
If you use KServe to implement canary releases of ...iris inference service:kubectl get isvc-n kserve-test sklearn-iris Expected output:NAME URL READY PREV LATEST PREVROLLEDOUTREVISION LATESTREADYREVISION AGE sklearn-iris ...
iris"} 259709.0 request_preprocess_seconds_bucket{le="0.025",model_name="sklearn-iris"} 259709.0 request_preprocess_seconds_bucket{le="0.05",model_name="sklearn-iris"} 259709.0 request_preprocess_seconds_bucket{le="0.075",...
Iris Setosa(index 0),Iris Versicolour(index 1),and Iris Virginica(index 2).You can send inference requests to the model to predict the types of Irises.Note The Iris dataset contains 50 samples for each type of Irises.Each ...
This topic describes how to call the DataFrame API to perform column operations.Column operations from odps.df import DataFrame iris=DataFrame(o.get_table('pyodps_iris'))lens=DataFrame(o.get_table('pyodps_ml_100k_lens'))If...
df=iris.groupby('name').agg(sepalwidth=iris.sepalwidth.max())df.compile()Stage 1:SQL compiled:SELECT t1.`name`,MAX(t1.`sepalwidth`)AS `sepalwidth` FROM test_pyodps_dev.`pyodps_iris` t1 GROUP BY t1.`name` 使用Pandas计算后端...
'cmp5']='gt5' iris[iris.sepallength=5,'cmp5']='lte5' print iris.head(5)#Perform mathematical calculation.print(iris.sepallength*10).log().head(5)fields=[iris.sepallength,(iris.sepallength/2).rename('sepallength/2'),(iris....
setosa 4 5.4 3.9 1.7 0.4 Iris-setosa 5 4.6 3.4 1.4 0.3 Iris-setosa 6 5.0 3.4 1.5 0.2 Iris-setosa 7 4.4 2.9 1.4 0.2 Iris-setosa 8 4.9 3.1 1.5 0.1 Iris-setosa 9 5.4 3.7 1.5 0.2 Iris-setosa#print(iris.sepallength.head(5))...
Sepal length Sepal width Petal length Petal width Output(the predicted class index):0:Iris setosa 1:Iris versicolour 2:Iris virginica Create a file named inferenceservice.yaml to deploy the InferenceService.apiVersion:...
Sepal length Sepal width Petal length Petal width Output(the predicted class index):0:Iris setosa 1:Iris versicolour 2:Iris virginica Create a file named inferenceservice.yaml to deploy the InferenceService.apiVersion:...