I’m currently tasked with creating a CSV file from a list of dictionaries where the headers are the dic keys and the rows the dic values Ex. Output would be a CSV File: We’re not allowed to use dictwriter/csv/pandas and have to do it the naïve way. I currently have the keys gathered, but am struggling with trying to split
Tag: dictionary
Python: How to explode column of dictionaries into columns with matching keys?
I have a column in pandas dataframe that has the following structure (see example). I think I have a nested dictionary in a single column, and I want each key to have it’s own column. I want all the matching keys to be the same column. Run the examples for more details I want to explode the dataframe so that
Regex removes certain words from my string – Python
The below code is to lookup a dictionary and replace string with values corresponding to dict’s key. Can someone help me understand why my code omits certain words? It removes lh preceeded and followed with a . i.e., lh. and .lh. How to overcome this? I get the output left hand l.h. -left hand- l.h plh phli lhp 1lh lh1
Some letters are not getting counted in the below code in Python
I am trying to write a code to count letters in a string and store them as key value pair in a separate dictionary with key as the letter and value as the total count of that respective letter. Could anyone please help me out what is going wrong in the code as I am not able to debug it.
Converting dataframe to dictionary with country by continent
I have a .csv and dataframe which has 2 columns (country, continent). I want to create a dictionary, carrying the continent as key and a list of all countries as values. The .csv has the following format: country continent Algeria Africa Angola Africa and so on. I tried using: But this gave me the following output: Which is the right
Python – How to call every function in a list with a single function call
I’m trying to create a dictionary where each value is a list of functions that should get executed when calling the value. Here’s some pseudo-code: But if I try to call this using functions[“A”]() an exception is thrown saying “TypeError: ‘generator’ object is not callable”. How should I approach this problem? EDIT: Just to clarify, the functions are not generators
list of tuples to single list
I have list of tuples in the following format, I need to convert them into following format, I have tried the following code but still producing the same result. Answer You could do it with a list comprehension: Output:
Convert nested dictionary to pandas dataframe
I have a nested dictionary as below: I need to convert it into a dataframe like below I have tired the following code from this answer I am getting the dataframe like below This is the closest I got to the desired output. What changes do I need to make to the code to get the desired dataframe? Answer Change
Sorting list based on dictionary keys in python
Is there a short way to sort a list based on the order of another dictionary keys? suppose I have: I want to sort the list to be [‘a’,’b’,’c’] based on the order of dic keys. Answer You can create a lookup of keys versus their insertion order in dic. To do so you can write: Using this you can
How to extract key value from deep dictionary in pandas || Python || dataframe
I am making a request call and storing data into JSON, and from there I am loading JSON to pandas DataFrame, good thing is it works like magic. However, unfortunately, I have deep dictionaries available in a few columns in the data frame. I am unable to extract key values from it. I am attaching the CSV file with a