I’m creating a program that counts letters. I created two dictionaries that both have the same word and, because they are the same exact word, both have the same counter. I want to know how to merge the two dictionaries so that it updates the counters as well, but I consistently receive the result “NONE.” Answer You can concatenate strings
Tag: dictionary
Extract first fields from struct columns into a dictionary
I need to create a dictionary from Spark dataframe’s schema of type pyspark.sql.types.StructType. The code needs to go through entire StructType, find only those StructField elements which are of type StructType and, when extracting into dictionary, use the name of parent StructField as key while value would be name of only the first nested/child StructField. Example schema (StructType): Desired result:
Merging values with a same key
Tried to google how to merge multiple dictionaries, but could not find a solution to merge values under same key in a dictionary. Although the original data is list, the expected results should be dictionary. I am stacked here, and hope someone show me a way to get resolve this. Original Data: Expected Results: Answer You can do this by
How to use a dictionary to modify an array in python
I am trying to use a dictionary (created by reading the content of a first file) to modify the content of an array(created by reading the content of a second file) in order to return as many modified arrays as their are keys in the dictionary with the modification corresponding the position and change in the original array indicated in
How to fill rows of a dataframe by following the order of elements in a list from a dictionary python
I would like to fill the empty rows of the dataframe: based on the following dictionary: dict1 shows how many kids each id in df has. For instance, A is parent of K and J. J has no kids. G has A and H. The empty rows in df are belongs to id J,Y,Z, and G.The list gives us these
Possible combination of a list to key value pairs keeping 1 element as key and rest as a value
Hi can someone help me with the below requirement ? Please note the list length can be any number , for example i have just put 4. I need the output as list of dictionaries with 1 value as key and rest of the values clubbed as list of all possible combination. Thanks in advance. Input: Output: Answer Try: Prints:
Python: List of dictionaries – using keys as headers & rows are the values (Naive way)
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
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
Get latest timestamp from list of dictionaries
I have list of dictionaries that I am pulling from a ticketing system. Each dictionary contains the name and timestamp of a ticket. There are cases where multiple tickets are entered for the same user and I would like to filter this list to only append the ‘latest’ timestamp to the list, rather than all occurrences. Edit: I am looking
How to chain Python’s set.add() while updating dictionary values being sets?
Let’s create dictionary dctD entries with values being set()s: Now the dictionary has to be updated with a new value which should extend its set() value if the at runtime unknown key value is already in the dictionary: The GOAL is to extend the set being value in dctD by a value also in case the key does not yet