I am on intel dev cloud and using Intel OneAPI. This is my code till now: # first block of jupyter notebook import modin.pandas as pd # second block of jupyter notebook df = pd.read_csv('dataset/dataset.csv') df.head() # output of second…
Basically I have a dataframe that looks like this num platform region id 569094 10 AMZN in 569094 5 AMZN ca 569094 12 NFLX us 385687 15 DIS in 385687 20 NFLX ca I need to convert this into json…
I have a JSON which is in nested form. I would like to extract billingcode and rate from json and put into csv using pandas python. { "TransactionId": "1c9cc4b9-a0e1-4228-b382-b244a7674593", "Number": "1022", "Version": 534, "StartDateTime": "2023-04-01 14:12:50.999", "EndDateTime": "2023-04-01 14:15:32.038", "LastUpdatedOn":…
I am trying to split the data from one of the column in json / dict format to new rows and column. e.g. Input Column A Column B Column C john blue [{city: "Manhattan", job_type: "PERM", sal_gp: 0d-1, age: 3.4},…
I would like to turn a json file into a dataframe, but I get the error: ValueError: Mixing dicts with non-Series may lead to ambiguous ordering. Can anyone help me? The json file is as follows: { "testCaseResult": { "timestamp":…
I create table in PostgreSQL and insert to table nested XML(xml_part column): CREATE TABLE text_xml ( id numeric, xml_part XML ); insert into text_xml values (1, '<note><to>Tove</to><from>Jani</from><heading>Reminder</heading><body>Dont forget me this weekend!</body></note>'); insert into text_xml values (2, '<note><to>Tove</to><from>Alex</from><heading>Reminder</heading><body>Dont forget me this…
I am trying to normalize a nested JSON file in pandas. I am unable to get the ab_id column in the beginning as observed in the current output screenshot. Additionally, since if I remove record prefix from my code, I…
I have the data coming via REST api with nested json, Trying to explode the response but its flatteing in only the first level. Need to explode the nested part also. First step im converting data into pd df then…
everyone! I am trying to convert a Pandas Dataframe (data1) into specific json format string (data2). How do I do that? data1 = pd.DataFrame( { "country": ["USA", "USA", "USA", "Canada", "Canada", "Canada", "Japan", "Japan", "Germany", "Germany", "Germany", "Germany"], "city": ["Boston",…
I've been runnning a pipeline in Azure for 4 months and it suddenly broke last night. I have the following code: !pip install tabula-py from tabula.io import read_pdf import tabula df = tabula.io.read_pdf(BytesIO(pdf_content), pandas_options={'header': None}, pages=3, stream=True)[0] I got this…