[FIXED] Insert values of dataframe to class atributes with for loop in python

Issue

I have parsed data in dataframes by using Pandas. I need to insert the data into class that I created.

My class:

class Message:
time = None
id = None
type = None
source = None
destination = None
    def __init__(self, time, id, type, source, destination):
    self.time = time
    self.id = id
    self.type = type
    self.source = source
    self.destination = destination

I'm going through the dataframes and trying to insert the output into the attributes of the class as following:

newMessage=Message()
for index, row in df.iterrows():
    newMessage.__init__(row['time'], row['id'], row['type'], row['source'], row['destination'])
    print(row['time'], row['ID'], row['TYPE'], row['Source'], row['Destination'])

The exception it throws:

TypeError: __init__() missing 7 required positional arguments

I don't know how to call the class and the arguments, please help.

Solution

You could try something like that:

class Message:

    time = None
    id_ = None
    type_ = None
    source = None
    destination = None


def __init__(self, time, id_, type_, source, destination):
    self.time = time
    self.id_ = id_
    self.type_ = type_
    self.source = source
    self.destination = destination

for index, row in df.iterrows():
    newTelegram = Message(row['time'], row['id'], row['type'], row['source'], row['destination'])
 
 print(newTelegram.time)
 print(getattr(newTelegram, "time"))

Note that both id & type are keywords in Python.

Answered By - Marcel