I’m trying to insert a 2D array in order to get two columns inserted into a sheet via gspread. I’m able to insert the individual lists fine, but inserting the array causes an error. Here’s my code. Here’s the value of rows [[[‘$81.57’], [‘$80.91’], [‘$91.63’], [‘$91.63’], [‘$455.20’], [‘$196.90’], [‘$282.60’], [‘$146.10’], [‘$97.22’], [‘$166.70’], [‘$287.30’], [‘$237.50’]], [‘781411’, ‘781415’, ‘781412’, ‘781416’, ‘701355’, ‘701330’,
NDlib Independent Cascade initialisation is giving me an error
I am using NDlib to try and model an Independent Cascade diffusion process over a graph. I am trying to set some initial seed nodes using config.add_model_parameter(‘Infected’, {0, 10, 100}) (the rest of my code to this point is the same as the tutorial example found here) but I get the error UserWarning: Initial infection missing: a random sample of
When I start this code, i found a problem with error Traceback (most recent call last) in my code with pygame module
I have problem with function. I starting learn pygame with video course, and this is my first pygame code. My .py code: enter image description here drawcube() I wanna do a mini-game with stickman, and i found a very big problem, when I start game in cmd and I’m going to web to found decision, but.. I don’t find him.
Can’t multiply 2 columns in pandas
I have an issue. As you see the following example: When I multiply 2 numbers: 127093342616 vs 22853943721, the result = 2904584099459834914136 But, when I use DataFrame of pandas and multiply the 2 columns the result = 8445279887435310424 Can anybody tell me the reason this occurs and a solution? Answer Try using float datatype, you’re having integer overflow problems: Output:
How to Efficiently Perform Multiplication within MultiIndex Groupby
I am trying to use two of my second level indices to calculate a third index. However, I can’t find an idiomatic way to do this. How can I calculate one second level index from two other second level indices? Each group has the same second level indices. My Code This produces the following data frame: What I Have Note
How do I read and then update a json file?
I need to be able to update a json file in python. I can get it to create and write to the json file the first time, but it keeps telling me I have an json.decoder.JSONDecodeError: Expecting value: line 1 column 1 (char 0). Here’s the code: Here’s the full traceback. I’m using Python 3.9.2. I’ve searched the following sites:
How to iterate over azure.core.paging.ItemPaged?
I have an iterator object <iterator object azure.core.paging.ItemPaged at 0x7fdb309c02b0>. When I iterate over it for a first time (see code below), it prints the results. However, when I execute this code a second time, it prints nothing. What is wrong in my code? Do I need to somehow reset the enumerator? Answer This is the default behavior of the
Update a field of a Django Object
I’m trying to update an object field in django. Usually I would do something like this: The problem is that the field to modify (in the example above: “name”) is not known and passed as an argument to the post request. So I would have something like this: now this triggers the error: What is the correct way to update
Stronger type-annotation for a mixed-type mapping
Suppose I have a mapping that maps string -> int, and int -> string in one dictionary. Is there a way to express that with type annotations in a strict way? Currently I can do Dict[Union[str, int], Union[str, int]], but that allows for str -> str, and int -> int, which I do not actually want. One might try Union[Dict[str,
Revert time averaged values to instant values with numpy
I am having a 3D field of an averaged quantity. Now I am looking for a pythonic way to revert the averaging to get instantaneous values for each time stamp. Note: The averaging is made from the beginning of the whole period. It is like rolling mean with the window size adapted to the index of the value to be