I have html file. I make list with dataframes with this comand: html_df = pd.read_html(folder + '/' + file) I delete values from few dfs in list and now I need save it as new html file with original structure.…
I have a SQL table and have made it a dataframe with Python. Then I calculated new values for a new column. As you know, it's easy to add new columns with values to a dataframe as long as the…
I have a list that contains nested json data and I would like to convert everything that is in the 'data:' tag into a data frame. The list contains multiple records inside the emptylist = [{'data': {'id': 7478290440, 'version': 0,…
I have 2 columns in the table, Column A and Column B User inputs: A, B, C User can give any of the above inputs. If user input is A then column B needs to be selected. If user input…
I have a Pandas DataFrame with this column: This is an extraction from a database in Mongo but I don't know how to handle a column containing both [] and {}: How can split this column into two columns? Desired…
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 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 this nested json data: { "result": [ { "deviceid": 33, "devicename": "server101", "objectName": "CPU", "data": [ { "value":0.59, "rvalue":null }, { "value":90, "rvalue":null }, { "value": 85, "rvalue":null } ] }, { "deviceid": 30, "devicename": "server10", "objectName": "CPU",…
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 a dataframe that looks like this, +-------------------------------------------+ | output| +-------------------------------------------+ |{"COLUMN1": "123", "COUMN2": {"A":1 "B":2}}| +-------------------------------------------+ And i just want to read the json as a string or dictionary in a variable so that i could do further…