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Tag: dictionary
Dataframes from dictionnaries in nested lists – Python
I have for example a nested list of 2 lists containing dictionaries like this : [[{},{},{},{}],[{},{},{},{}]] I would like 2 dataframes something like : And I obviously can’t use that : with data as a list of dictionaries. Answer The solution is simply to flatten your list of lists, then you can pass it to pandas normally Will get you
Map 2 df but column to value instead of value to value for each ID
I have a table with top 3 reasons (Table 1) and another table with the category it belongs to for each variable (Table 2). I am trying to match the category bins into the reason table like in table 3. Answer Approach index two data frames in way that works with join() then it’s a pd.concat() of each of the
For every consecutive number
I have a list containing data such as [2, 3, 9, 10, 16, 17, 23, 24, 99, 112, 113, 114, 299] and what I would is that, for every set of consecutive numbers, construct a dictionary with the key representing the set of consecutive numbers starting from 1, and the value the consecutive numbers. The expected output should look like
Keeping the values separately in the dictionary with for loop in Python
I’ve reviewed many questions in StackOverflow that may be related to my question Q1, Q2, Q3, Q4 None of them are related to my question. Apart from these, I examined almost 20 questions here. I created a sample code block to explain my problem simply. My aim is to add data to a dictionary in for loop. When I run
How to complete a CSV file with data from a Python dictionary in progress
I would like to know how to save data from my python dictionary (being created) to a CSV file at the same time (i.e. as soon as a python dictionary line is created it should be sent directly to the CSV file) I’m using the following code : I would like to obtain a fisrt column for text, topic and
Creating list of dictionaries from a dictionary using list comprehension
I have a dictionary of the format: And I’m trying to create a list of dictionaries that separate the values, i.e., the result should be: Is there a way I can do this with a one-line list comprehension? What I have tried so far: And my code using a normal “for” loop: Answer Here’s a list comprehension + dictionary comprehension
How can I sum value from array in dictionary with python?
the dictionary data look like this and the result is sum vl if only br and mnt have same value Answer If you can use pandas, try this: This outputs: If you really need to, you can turn it back into a list of dictionaries with:
Create a new list of dictionary from the index in dataframe Python with the fastest way
I have a ~200mil data in dictionary index_data: Key is a value in CustId and Value is an index of CustID in df_data: I have a DataFrame df_data: NOTE: If CustID is duplicate, only column Score have different data in each row I want to create a new list of dict(Total_Score is an avg Score of each CustID, Number is
How to convert a list with dictionaries into new pandas columns?
I have a dataframe which has a list of dictionaries as a column: This column has the following format: How can I convert this column into 4 new columns? I mean: route_id (x2), stop_id(x2) as new columns. Thanks in advance! Answer You can use df.explode with df.apply: