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How Do I Access This A Value In A Python Data Dictionary?

I have a python data dictionary that I am using to do some date comparisions. However when I loop through it I can't figure out how to access the DailyPlannerRequest value. I have tried doing a request.DailyPlannerRequest but the error that comes back is 'datetime.date' object has no attribute 'DailyPlannerRequest'. I've read a bit about trying to convert this dictionary value but can't find anything helpful. I am trying to do a loop and query a filter value and compare it to this data dictionary value.
I'm trying to do something like....
if request.day == day and event.daily_planner_request_name == request.DailyPlannerRequest :
I've done this lots of times before but the complication here is that one is a queryset and the other is a dictionary value that I'm trying to get to compare.
I've played a bit with the approach documented here Accessing dict keys like an attribute?
But can't seem to figure this out.

#Waldemar Podsiadlo answered this one. The answer he provided helped me with my troubleshooting...for key, value in dict.items()

key Error 'data' when loading rdata into python using pyreadr

So until now I was able to use the pyreadr package to load rdata files to python. Somehow this time I keep getting a key error 'data'
# load the data set:
rdata_read = pyreadr.read_r("/content/GrowthData.rda")
data = rdata_read[ 'data' ]
n = data.shape[0]
Where does the error come from ?
Furthermore, I found out that the type of this is a "collections.OrderedDict" which is new to me and never happened before. Consequently, I tried to convert it to a pandas data frame. Unfortunately, I could not convert this type to a pandas data frame either as I receive the error "must pass a 2-D array". Hence, I am very confused right now and don't know how I can access this data via python and work with it. Appreciate any help!!

Pyreadr read_r function always gives back a OrderedDict (think of it just as a regular python dictionary, the distinction was important in older versions of python, not anymore), where the keys of the dictionary are the name of the object (dataframe) as it was set in R, and the value is the dataframe. You can read about this in the README
The reason why it returns a dictionary is because in an RData file you can save multiple objects (dataframes), therefore pyreadr has to give a way to return multiple dataframes you can recognize by their name.
In R you would do:
save(dataframe1, dataframe2, file="GrowthData.rda")
What I would suggest you to do in python, is after you have read the data, explore what keys you have in there:
# load the data set:
rdata_read = pyreadr.read_r("/content/GrowthData.rda")
print(rdata_read.keys())
# would print dataframe1, dataframe2 in the above example
this will tell you what objects have been saved in the Rdata file and you can retrieve as you were doing before
data = rdata_read['dataframe1']

How to add data(dict) to a specific fieldname(key) on a csv file?

EDIT: Sorry for the confusion I'll explain what the program is for. It's to keep track of a users new weight record. This file will only update when they have exceeded their previous weight record with a timestamp. I want the user to be able to see a time line of their progress for each lift using the timestamp. This is why i was using lift['key']={data:dict} So that they can reference each lift type and query the date for example lift['snatch']['5/25'] this will tell them what they maxed that day. But i can't seem to be able to write this to a csv file properly. Thank you for you time! Happy friday!
I've been researching for days and can't seem to figure out how to add data to a specific Fieldname which is a the highest level key in my dict.
The data i want to add is a dict in it's own.
How I vision it to look like in the CSV file:
snatch <> squat <> jerk
10/25:150lbs <> 10/25:200lbs <> 10/25:0lbs
So this is how it would look like when they created the file. How am I able to update just one field.
Say the user only squatted that day and wants to Append data to that Field.
What I have so far:
import time
import csv
lifts={}
csv_columns = ['snatch','squat','jerk']
creation = time.strftime('%M:%S', time.localtime())
lifts['snatch']={creation:'150lbs'}
lifts['squat']={creation:'200lbs'}
lifts['jerk']={creation:'0lbs'}
try:
with open(csv_file, 'w') as csvfile:
writer = csvDictWriter(csvfile, fieldnames=csv_columns)
writer.writeheader()
for data in lifts:
writer.writerow(lifts)
except IOError as (errno, sterror):
print("Error")
return
->One of my issues is that when it writers to the csv file it writes it over three times. Not quite sure why. It's the format I want but it's there three times.
-> I also want to implement this next code and write to the specific column, when i do so it writes null or blanks in the other columns.
lifts['jerk'].update({time.strftime('%M:%S', time.localtime() : '160lbs'})
Then out putting
snatch <> squat <> jerk
10/25:150lbs <> 10/25:200lbs <> 10/25:0lbs 10/26:160lbs
Sorry I'm new to python and not quit sure how to use this editor i want that result to land under the {10/25:0lbs} Just like it would show in excel.

It's important to keep track of what's going on here: lifts is a dictionary with strings for keys ("snatch", "squat", "jerk") and whose values are also dictionaries. This second level of dictionaries has timestamp strings for keys and strings as values.
I suspect that when you want to update the lifts['jerk'] dictionary, you don't use the same key (timestamp) as the existing entry.
It doesn't seem like you need a dictionary for the second level; consider using a list instead, but if you must, you can access like so: lifts['jerk'][lifts['jerk'].keys()[0]] which is rather hamfisted - again, consider either using a different data type for the values of your lifts dictionary or use keys that are easier to reference than timestamps.
EDIT: You could do something like lifts['jerk'] = {'timestamp':creation,'weight':'165lbs'} which requires some restructuring of your data.

storing python list into mysql and accessing it

How can I store python 'list' values into MySQL and access it later from the same database like a normal list?
I tried storing the list as a varchar type and it did store it. However, while accessing the data from MySQL I couldn't access the same stored value as a list, but it instead it acts as a string. So, accessing the list with index was no longer possible. Is it perhaps easier to store some data in the form of sets datatype? I see the MySQL datatype 'set' but i'm unable to use it from python. When I try to store set from python into MySQL, it throws the following error: 'MySQLConverter' object has no attribute '_set_to_mysql'. Any help is appreciated
P.S. I have to store co-ordinate of an image within the list along with the image number. So, it is going to be in the form [1,157,421]

Use a serialization library like json:
import json
l1 = [1,157,421]
s = json.dumps(l1)
l2 = json.loads(s)

Are you using an ORM like SQLAlchemy?
Anyway, to answer your question directly, you can use json or pickle to convert your list to a string and store that. Then to get it back, you can parse it (as JSON or a pickle) and get the list back.
However, if your list is always a 3 point coordinate, I'd recommend making separate x, y, and z columns in your table. You could easily write functions to store a list in the correct columns and convert the columns to a list, if you need that.

Store repetitive data in python?

I'm working on a small task with excel sheet and python and the problem that I'm facing is i have few lines of code to perform string manipulation on the data which i fetch from the sheet. Since i got plenty of sheets,sometimes only limited number of sheets are required and couple of time whole excel sheet to perform string manipulation i can't write the same code everywhere so i thought of performing the operation once and storing it like oldvalue : newvalue so that whenever i read oldvalue i don't have to do manipulation again just fetch the newvalue from there. Now i tried using dictionary which is the best way to do it but the problem with using it is my key and value can both be repetitive and i don't want to update my previous entry with it. As per my knowledge we can't achieve it using dictionary. So what I'm asking is whether we have some kind of different data type to store it? Or do we actually need one? Can you help me figure out a way to solve it without using any data type?
EDIT :
The point is I'm getting the data from excel sheet and performing string manipulation on it and sometimes the key and the value are getting repetitive and since i'm using dictionary, it's updating previous value which i don't want to.

This will check if your dictionary contains a value for a specified key. If not, you can manipulate your string and save it for that key. If it does, it will grab that value and use it as your manipulated string.
""" Stuff is done. New string to manipulated is found """
if key not in dict:
value = ... #manipulated string
dict[key] = value
else:
manipulated_string = dict[key] #did this before, have the value already