I have a lot of dict rows, more than 10 million, like this: Is it possible to merge rows where all others key and values are the same into one make SUM of ‘bytes’: I would like to minimize the number of rows and have like this. It should speed up the next steps of processing. Thanks in advance. Answer
Tag: dictionary
Can not print specifict values from an api response dictionnary (Dango)
i’m ne to Django and APIs and i’m struggling with this for days. Here’s my views.py file : And here’s the index.html : But when i try to do for example : i get an error : (TemplateSyntaxError at / Could not parse the remainder: ‘[“height”]’ from ‘t[“height”]’) Please help me and excuse me if it is a dumb question,
Are certain words forbidden as keys in a dict() statement?
So I was getting carried away after finishing my function to convert user time strings to seconds when I decided to extend my conversion dictionary with the statement: This fails. I can assign bs=1e-18, but if I assign as=1e-18 it says SyntaxError: invalid syntax, so I tried escaping the a but no luck. Are there forbidden words in dictionary keys?
Pythonic method to create 2 lists, one of which is a repeating set of strings and turn into a dict
I have a list of ‘widget types’, [“C”,”A”,”B”] and need to make a dict for those types to correspond to their respective ID’s, 1=’C’, 2=’A’, 3 = ‘B’, 4= ‘C’, 5=’A’, 6= ‘B’, 7 = ‘C’, etc. I already know how to do it, I just wondered if there was a more elegant pythonic way of achieving it than that
Is there a better way to find specific value in a python dictionary like in list?
I have been practicing on iterating through dictionary and list in Python. The source file is a csv document containing Country and Capital. It seems I had to go through 2 for loops for country_dict in order to produce the same print result for country_list and capital_list. Is there a better way to do this in Python dictionary? The code:
return boolean value for a custom function
I am comparing key elements in a list with dictionary keys I wrote a custom function as follows I want to execute the other part of my code, only if the function executes without any errors. I dont understand how to specify a return value for the function and execute my code based on the return value I am trying
CSV data to Python dictionary
I wrote my data which was in lists and dicts to a csv file, and when i import the csv file using pd.read_csv(‘file.csv’), everything becomes strings. How can i keep or convert it to its original format? Originally, everything was in a dataframe and then written to a CSV file using df.to_csv(r’./file.csv’). all the rows are strings. Answer This will
Iterating through multiple rows using multiple values from nested dictionary to update data frame in python
I created nested dictionary to keep multiple values for each combination, example rows in the dictionary is as follows:- dict = {‘A’: {B: array([1,2,3,4,5,6,7,8,9,10]), C: array([array([1,2,3,4,5,6,7,8,9,10],…}} There are multiple As and in that multiple arrays for each array. Now I want to updated the data frame which has following rows: Col 1 Col 2 Col 3 Col 4 A B
Playsound setup with dictionary throws error
The following code is supposed to find all mp3 file paths in a folder (called MP3) and store them in a dictionary for their corresponding keys. NotePaths = { “C” : “”, “D”…
Dictionary from list comprehension
I have a following list. I found dictionary keys, which is the first item in the tuple. From there, I created a dictionary, whose values are the tuples from the first list if the first item in the tuple matches with the keys defined previously. Then I created a new list whose elements are tuples based on the dictionary values.