I have data in below format. Here are few things I want to do with my data in python. First to iterate over my dictionary and to find and count the keywords mentioned above in the value of “Text” both in “1” and “2” and last thing is to update the current dictionary with keywords counts (no of times keywords
Tag: dictionary
Connect two comboboxes via a dictionary (with the purpose to display male or female names in the combobox)
I have a combobox where I select the gender Male or Female. Then I have another combobox where now all the names of people are displayed (without distinction of gender). I would like to select Male from the first combobox and automatically display (without button) the Male names in the second combobox. The same thing for Female names. Thank you
Transform python dictionaries with keys and corresponding lists to pandas dataframe
I am trying to transform multiple dictionaries with keys and corresponding lists to a pandas dataframe and can’t get to the right way of transforming them. For the pandas data frame, the keys are the index column and the lists How can I transform python dictionaries with keys and corresponding lists (in values) to a pandas dataframe with keys as
python how to combine two list (key/vaule pairs), which has list of dicts
I have two lists and each list has multiple items. here is the example: x: lst: desired output: new_list: i want to create a new key called “resource_allocation” and add “lst” item value to it, show above i am trying to do like this: got error: i am sure i am doing it wrong, can any one suggest me the
Convert a list of nested dictionary WITH STRING OBJECT into pandas Dataframe
I have a real-time url “linktoAPI” containing a list of nested dictionary. I have tried many solutions from the links below, but none of them helps me achieve what I want. Apparently, it is because the value of the nested dictionary (key: “history_value”) is ununiform and contain long string object. Extract dictionary value from column in data frame (got the
Dynamically generate a dictionary with GraphQL response values as key names
The goal of the following piece of code is to create a dictionary that is populated with data received from GraphQL query responses. Manager list is constructed as the following: managers_list: [‘manager1@email.com’, ‘manager2@email.com’] The “get_employees_per_manager” function takes a list of managers and a token, then it returns a list of employees and their actions. “execute_query” function executes the given query
Create Python graphviz Digraph with Pandas
I am trying to make a diagram tree in graphviz.Digraph, I am using Pandas dataframe. By the below query, I am getting the processid’s and their dependents id’s in a form of a dictionary But I want the data in below format: Can someone please help me return pandas dataframe output in such format? Answer Are you wanting this: Output:
How to combine a list of lists into a dictionary where the first sublist is mapped to corresponding values in all subsequent sublists?
I have a list of lists, where the first list is a ‘header’ list and the rest are data lists. Each of these ‘sub’ lists are the same size, as shown below: I want to merge all of these ‘sub’ lists into one dictionary, using that first ‘sub’ list as a header row that maps each value in the row
This Python code gives unwanted output when query_words if of size greater than 1
I’ve written some code, but it does not output what I expected. Here is the code: The expected final value of big_ds is: {123: {‘dollar’: [‘currency’], ‘probabilistic’: []}, 108: {‘dollar’: [], ‘probabilistic’: [‘probabilistic’]}} But the code sets the value of big_ds to the following: {123: {‘dollar’: [‘currency’], ‘probabilistic’: [‘currency’]}, 108: {‘dollar’: [‘probabilistic’], ‘probabilistic’: [‘probabilistic’]}} I asked a similar question a
Python: How to pass output of the map function as arguments
I need to pass some arguments to the starmap_async function. I have a list my_list that has different values in it and some constants that are repeated. I have a way to pass the arguments as bellow: It works and generates arguments like this which is the desired output: Now I want to use the map function to do something