WebApr 11, 2024 · Convert specific table of excel sheet to JSON using PowerShell. There is an excellent script on GitHub that helps to convert a full Excel sheet to JSON format using PowerShell. The script expects the table to be at the start of the sheet; that is, to have the first header in the A1 cell. I had a little different requirement. WebApr 13, 2024 · Convert JSON File to INI File in Python. Instead of a json string, we can convert a json file to an ini file in Python. For this, we will open the json file in read mode using the open() function. Then, we will use the load() method defined in the json module to read the data from the json file into a Python dictionary.
How to convert a tuple to list in Python [16 different ways]
WebFeb 13, 2024 · Method-1: Convert Python tuple to list using the built-in function list () This method uses the built-in list function, which takes an iterable as an argument and returns a list. Simply passing a tuple as an argument to the list function will convert it into a list. WebDefinition and Usage The transform () method allows you to execute a function for each value of the DataFrame. Syntax dataframe .transform ( func, axis, raw, result_type, args, kwds ) Parameters The axis parameter is a keyword argument. Return Value A DataFrame or a Series object, with the changes. glutathione complex
Convert Generator Object to List in Python (3 Examples)
WebFeb 5, 2024 · 1. Using list () Function The list () function takes an iterable as an argument and converts that into a List type object. This is a built-in method ready for you to use. my_list = list (my_iterable) Since a set is also iterable, we can pass it into the list () method and get our corresponding list. WebReturn a copy of the array data as a (nested) Python list. Data items are converted to the nearest compatible builtin Python type, via the item function. If a.ndim is 0, then since … WebTo convert a Pandas DataFrame to a list of dictionaries in Python, you can use the to_dict () method with the orient parameter set to 'records'. Let’s look at an example. import pandas as pd # create a dataframe df = pd.DataFrame( {'Name': ['Jim', 'Pam', 'Dwight'], 'Age': [25, 26, 28]}) # display the dataframe print(df) Output: Name Age 0 Jim 25 glutathione collagen watsons