I am a beginner in working with geospatial data. What I have done so far:
I created a map chart visualization in spotfire.
I created a shape file using QGIS.
I added the shapefile in the spotfire using Add Data Table -> File
I added a feature layer into map chart and used/applied the shapefile data.
So far so good.
But now I guess the shape file is static data?
How can I refresh the shape file so that it reflects the changes in the underlying base database? BTW the base or master data is in Oracle.
Versions:
OS - Windows 8.1
QGIS - 3.0.1
Spotfire - 7.11.0
This is the first time I am using either spotfire and qgis.
Related
I built a classification model using the new AzureML Studio Designer. I am trying to export
enter code herethe scored model as CSV file using the pill Export Data. I have selected
workspaceblobstore as datastore and csv as file format. The pipeline runs fine, but the
dataset does not show up under Data. I am also unable to just right-click on the scored model
and download a csv file.*
[Pipeline][1]
[Export Data Parameters][2]
[Output][3]
[1]: https://i.stack.imgur.com/dlaec.png
[2]: https://i.stack.imgur.com/PLwRv.png
[3]: https://i.stack.imgur.com/rua29.png
When the dataset is uploaded using any of the following formats, we can see the dataset under the dataset of the designer tab.
To reproduce the problem, used a sample dataset and uploaded from the local directory in the form of CSV file. It validated perfectly under the data it is visible in designer tab
I am not able to read table data which is spanning across next page. I am using c# code to extract data using FormRecognizerClient
and by using a trained custom model in a console application. Also tried by using StartRecognizeInvoicesFromUriAsync i.e using
analyze invoices of FormRecognizerClient , this is also failed in that scenario mentioned above.
And FormRecognizerClient in C# is also not recognizing headers in a table.
I am using below link for FormRecognizerClient C# library Code,
https://learn.microsoft.com/en-us/azure/cognitive-services/form-recognizer/quickstarts/client-library?tabs=preview%2Cv2-1&pivots=programming-language-csharp#analyze-invoices
Looking for any help.
Below is the image link showing format for pdf :
https://i.stack.imgur.com/mx5NW.png
Form Recognizer does not yet support tables spanning across pages and will extract each table per page. Can you please share a snippet of the table on the second page which is not detected (please anonymize all data and redact all data before sharing)
In a project I am running an AWS Sagemaker Jupyter notebook instance that heavily interacts with files (gathering, converting, computing, interacting) and after every step the files are moved from folder to folder to prepare for the next interaction. I was wondering if there was any way to set some form of chart (like excel) that creates/updates a row when a file enters a folder. The charts end goal is to be used as some form of tracker, to see what stage all the different files are in.
Examples of how the desired chart should look like below
Chart Style 1
Chart Style 2
One way in which you could achieve this is by pushing the data programmatically to a central Google Spreadsheet and use the data from there to create charts.
You could use the GSpread Library in Python to push the data after certain steps in your code are run successfully. We use this extensively to push data to Google Sheets every day.
You would need to check the API rate limits enforced by Google Cloud which can be increased as per your requirements.
I have created an Azure ML experiment which will give the output as predicted probability values and some charts such as bar chart, pie chart, etc. Now I am able to see the outputs in Azure ML's output page.
How can I export my Azure ML experiment results to CSV (or any other similar format)?
You can just configure that by using the modules under Data Format Conversions. Have a look here and here. Documentation is in progress, unluckily.
Once you've trained your model, publish it as a web service. Then from published service, you can Download Excel Workbook. Through this workbook, it will run your web service with the data you input into excel. Then it will show the predicted values.
You can add a module called convert to csv in your experiment.
The Run selected module.
Right click after the module is run and click on 'Download'
i am using ExtGWT(gxt). i have a requirement where i need to import excel data and display the data in a grid. please help me how to achive this?
Thanks!
This is two completely separate thing to do...
First you have the import of the excel file, you can put this directly on the grid as it will require being processed on server side. Likely into a database on the server.
A quick search found this library to do just that
The GXT application can then retrieve this data and place it into a grid by retrieving a list of POJOs and converting to BeanModel's for use in the ListStore of the grid
Best example of loading data into a Grid see explorer here.
This should get you started as I cannot be sure of specifics without more information of your set up.