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:
Tag: dictionary
Map the multiple value dictionary with a dataframe column
I have a dictionary with multiple values for 1 key. Now, I need to map them with the dataframe column. Any idea how can I solve this? Dictionary Data Expected Answer First we convert the Keys_nd_Values to a df and convert the rows to columns. The function we wrote later does this: get the value of the column if the
How to parse the log data which is in form of nested [key=value] format using python pandas
I have huge Sensor log data which is in form of [key=value] pair I need to parse the data column wise i found this code for my problem the above code is suitable when the data is in form of “Priority=0, X=776517049” but my data is something like this [Priority=0][X=776517049] and there is no separator in between two columns how
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 break long list of geographic coordinates by latitude and longitude?
I have the following list of geographic coordinates organize in 2 mains blocks corresponding to 2 polygons : I would like to break this list in 2 dataframes (corresponding to the 2 blocks delimiter by double “[“) with latitude and longitude columns. Ex : first dataframe df : Second one df 1 : Answer Try this: Output:
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 can I apply label encoding by using a dataframe without using labelencoder etc. in Python?
I have two data frames: first: enter image description here second: enter image description here I need to do label encoding to the first data frame values by using the second data frame. I tried converting the second data frame to a dictionary and then replacing the first data frame values. such as; I couldn’t print the proper dictionary format.
Column dictionary values into separate Dataframe
I have a dataframe which has a column that contains a list of dictionaries. This is what an example column value it looks like: I want to create a separate dataframe that takes the above column values for each row, and produces a dataframe where ‘category’ is a column, and the values for that columns are score and threshold. For
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: