I have a pandas series containing a list of dictionaries. I’d like to parse the contents of the dicts with some condition and store the results into new columns. Here’s some data to work with: I’d like to parse the contents of each dictionary with some conditional logic. Check for each dicts in the list and name columns as keys
Tag: dictionary
I have variables and values in __init__ method and I want to make a new dict in another method where the variable as key and values of it as value
I have this– I want — how to use instance variable as key value in another r method Answer Magic methods __dict__ can help you Output
How can I handle only the first part of my value list of a dictionary in Python?
I have a dictionary which has a list of values and I want to use only the first value of each pair before the first comma. Is that possible? If you came across anything similar please write it down Answer The output you expect is unclear. If you want a dictionary in which you only keep the first item of
check if numeric element is in an interval key dictionary in python
from the following dictionary with tuple as keys and a string as value: by using the dict, how would be possible to use a function with the following behaviour? gives the following output: Answer If you expect age to be within multiple intervals and you want to get them all: I have added an overlapping interval to your data If
break inner loops and pass control to outermost loop in python
Here is what I am looping through complex nested dictionaries inside a list called adm2_geonames. I then have a csv file whose line[1] needs to searched inside adm2_geonames. Once found, I want to break the loops for adm2_geonames i.e. starting from for dic in adm2_geonames: and pass the control to for line in csvReader: for next keyword, until all in
How to combine two nested dictionaries with same master keys
I have two nested dicts with same master keys: So I want to enrich dict 1 by the key value pairs from dict2. I’m able to do so with a for loop… Result: …but is there a more pythonic way to do so – e.g. with dict comprehension? Answer Yes: Firstly, use .items() to iterate over both keys and values
pandas: manage duplicated sentences on different columns
I have a dataframe as follows: I want to add the first column value to a sentence if that sentence is repeated somewhere else in the next three columns. so my desired output would be col1 col2 col3 col4 1_a 1_aJoe waited for the train. the weather is nice the house looks amazing 2_a The train was late. the weather
how to match the keys of a dictionary and return their values?
I have two dictionaries: Both dictionaries contains the same amount of key_value pairs. In dictionary x, the key is the translation in Bulgarian of names of languages and the values are the names of the same languages in English. in dictionary y, the keys are the name of the languages in Bulgarian and the values are their frequency counts. All
Accessing Json object values with the Help of a dictionary
I’ve a huge json file which has a lot of nested key value pairs. So I thought I should save the keys as dictionary values and use that dictionary values as keys to access the values from the json file. Say for example: so I thought to access the key morning value, instead of writing I should keep a dictionary
Shift for uppercase letters
I am writing a program on shifting a word. My desired output should be a:f b:g c:h … y:d z:e A:F B:G C:H … Y:D Z:E But after running this code, my output is a:f b:g c:h … y:d z:e A:f B:g C:h … Y:d Z:e Seems isupper() function didn’t work here. Could you help with this based on my