My main goal is to save pandas dataframe with html and scc styles as image. I'm having problems imgkit so I tried html2image. And it worked for me. But a few days later the same code doesn't do anything. No…
I've used most of methods to load a json and the results I got didn't meet my needs. When I load the file with pandas read_json, I get a dataframe with the index and all fields in a single line,…
I have a JSON that I download from a website that has multiple nested dictionaries inside the main list. This is a very simplified version of it. [ { "id": 1, "attributes": { "autoNumber": 1, "make": "Ford", "model": "F150", "trim":…
I want to learn Pandas framework, so I find free csv with Euro data from kaggle.com https://www.kaggle.com/datasets/piterfm/football-soccer-uefa-euro-1960-2024/data But there're plenty of columns which looks like this subset['goals'][1] "[{'phase': 'FIRST_HALF', 'time': {'minute': 7, 'second': 41}, 'international_name': 'Xavi Simons', 'club_shirt_name': 'Xavi', 'country_code':…
I have a JSON file called "values.json" with this content: { "values": [{ "id": 2, "value": "passed" }, { "id": 41, "value": "passed" }, { "id": 73, "value": "passed" }, { "id": 110, "value": "failed" }, { "id": 122, "value":…
I'm trying to read a parquet folder using the following code: import pandas as pd df = pd.read_parquet('PASP0001.parquet') I'm working on a virtual environment. The code works perfectly if I open a Python session (note the which command): (.venv) (base)…
I have below csv format. I want it to convert some nested dict. name,columns,tests ABC_ESTIMATE_REFINED,cntquota,dbt_expectations.expect_column_to_exist ABC_ESTIMATE_REFINED,cntquota,not_null ABC_ESTIMATE_REFINED,is_purged,dbt_expectations.expect_column_to_exist ABC_ESTIMATE_REFINED,is_purged,not_null Expected Output { "name": "ABC_ESTIMATE_REFINED", "columns": [ { "name": "cntquota", "tests": [ "dbt_expectations.expect_column_to_exist", "not_null" ] }, { "name": "is_purged", "tests": [ "dbt_expectations.expect_column_to_exist",…
[ { "ver": "1", "dt": 1699439129329, "od": "OBJECT_ID", "bin": "Vbin", "myname": "VME", "msgss": [ { "code": "TLHGH", "Details": { "no": 1, "rep": 4 }, "pngds": [ { "id": "ID", "mpo": 16, "mkg": "up", } ] } ] }, { "ver":…
I am looking for a solution to display a table in a window (separate from the console). I am using Ubuntu 22.04 system. The data are processed by pandas. I found this guide: https://www.delftstack.com/fr/howto/python-pandas/pandas-display-dataframe-in-a-table-style/ that the Styler object may display…
I have a json file which when converted into a dataframe looks something like this: sl no. id name value date 1 101 Math 90 - 2 101 Phy 87 - 3 201 Math 85 - 4 201 Phy 93…