I am a student accessing an API with query returning XML data format. I would like to convert the URL query output to JSON, then convert to a DataFrame through Pandas. Can anyone point me in the right direction?
Thank you.
Related
Is pd.json_normalize() and pd.DataFrame.from_dict() same and produce similar results?
I am using this to create a dataframe from a JSON Dictionary. Please help
I want to convert json data to avro.
I have used GenerateFlowFile and put dummy json value [{"firstname":"prathik","age":21},{"firstname":"arun","age":22}].
I have then used ConvertRecord processor and set JsonTreeReader and AvroRecordSetWriter with AvroSchemaRegistry which has the following schema:AvroScehma
But i am getting this as my output: Output (Avro Data)
I am new to Apache Nifi.
Thanks in Advance.
But i am getting this as my output: Output (Avro Data)
That's to be expected. Avro is a binary file format, and what you see is an attempt to make that data viewable in a text format. It's supposed to act like that.
I am working on Labview. I want to flatten the Express data type coming out from my DAQ-Assistent into JSON string. I am using JKI JSON but it is showing an error of unsupported data type: Expressdata. Are there any suggestions?
If the JSON VI does not know how to interpret the data from the express VI, it can't convert it into JSON. For example, the LabVIEWs native JSON VIs can not de/encode timestamps, since JSON does not have a timestamp data type. An additional convention on how to store timestamps would be necessary, such as seconds since 1970 or a string in ISO time format.
It is even possible that the data wire just contains some references, and storing the reference gives you nothing.
If you convert the express data to a more basic datatype like waveform, the JSON VI should be able to encode it.
in aws cli we can set output format as json or table. Now I can get json output from json.dumps is there anyway could achieve output in table format?
I tried pretty table but no success
Python Boto3 does not return the data in the tabular format. You will need to parse the data and use another python lib to output the data in the tabular format . Pretty table works good for me, read the pretty table lib docs and debug your code.
I am making an Android apps and I have a big json file and I like to store it in mysqlite.
Should I convert the json file to objects before inserting into mysqlite?
thanks.
I see that you were able to convert it to JSON object. After that You should convert the JSON object to a String then save the string as VARCHAR in the DB