I have json files which look like a dictionary of a list of similar dictionaries: {"People":[{"FirstName":"Max","Surname":"Smith"},{"FirstName":"Jane","Surname":"Smart"}], "Animals":[{"Breed":"Cat","Name":"WhiteSocks"},{"Breed":"Dog","Name":"Zeus"}]} I'm using the following code to convert this into a dictionary of pandas dataframes: import pandas as pd import json # Read the…
enter image description hereI had this problem a year ago and once again need help with Pandas. Embarrassingly having the same problem as last year as an api has been updated. Original Question Here - I have a nested json…
I have many JSON files with the following structure: { "requestId": "test", "executionDate": "2023-05-10", "executionTime": "12:02:22", "request": { "fields": [{ "geometry": { "type": "Point", "coordinates": [-90, 41] }, "colour": "blue", "bean": "blaCk", "birthday": "2021-01-01", "arst": "111", "arstg": "rst", "fct": {…
I tried to convert HTML to Dataframe using pd.read_html but it automatically removes the multiple spaces in between the text. For Example: <table> <tr> <td>35</td> <td>Juan Cruz</td> </tr> <tr> <td>23</td> <td>Philip Philips</td> </tr> Expected Output: [ 0 1 35 Juan…
I have a task to upload MySQL table JSON data to the rest API. I am loading the data in the Pandas dataframe and transforming it and trying to make a single JSON value to post to the API endpoint.…
I've got the following jsonFile example that I'm trying to convert to a dataframe. I've looked through many examples on SO but all of them have a first level key in their json data. My data only has the value…
I really need help with this. I have to read thousands of HTML files to extract values to a dataset but the HTM file has javascrip and pandas is getting me the name of the variable instead of the value.The…
I am getting output web api response as below. d = { 'L1': [{'att_1': 10, 'att_2': 'whatever', 'att_4': 214, 'att_5': 'YES'}], 'L2': [{'att_1': 11, 'att_2': 'whatever News', 'att_4': 230, 'att_5': 'another'}], 'L3': [{'att_1': 12, 'att_2': 'whatever says', 'att_4': 213, 'att_5':…
I have following scenerio where I have to check for values in a column and its corresponding values in other columns. If any one of the value is not null then need to return true. Suppose I have to check…
I'm troubleshooting a nasty Python / Pandas / Dependency problem and want to go back in time, that is, recreate an earlier Python environment from when the code is thought to have worked. In the interest of keeping this as…