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Joining portions of a python dictionary using a reference dataframe

I have a dictionary of dataframes with keys that look like this. It's called frames1.
dict_keys(['TableA','TableB','TableC','TableD'])
I also have a 'master' dataframe that tells me how to join these dataframes.
Gold Table
Silver Table 1
Silver Table 2
Join Type
Left_Attr
Right_Attr
System
Table A
Table B
left
ID
applic_id
System
Table C
Table A
right
fam
famid
System
Table A
Table D
left
NameID
name
The "System" gold table is the combination of all 3 rows. In other words, I need to join Table A to Table B on the attributes listed and then use that output as my NEW Table A when I join Table C and Table A in row 2. Then I need to use that table to as my NEW Table A to join to Table D. This creates the final "System" Table.
What I've tried:
for i in range(len(master)):
System = pd.merge(frames1[master.iloc[i,1]],frames1[master.iloc[i,2]], how=master.iloc[i,3], on_left= master.iloc[i,4],on_right=master.iloc[i,5])
This only gets me one row which will then over write the other rows as it goes on. How would I go about creating a for loop to join these together?

Filter query through an ID to another table in Django

Let's say I have this query
Table 1
cardId = 1
table_1 = card_tbl.ocabjects.get(id=cardId).values('category1_id')
and the Output for this is Table 1 is <QuerySet [{'category1_id': 1}]>
Next is I want to match the value of table 1 to table 2
Table 2 but it returns an error
table_2 = category1_tbl.objects.filter(Q(id=table_1))
print(table_2.name)
The table 2 contains column which is a name and I want just to get result name through matching ID from different table for example name jason The table_2 have a column name
Need help

I cant get your exact point but if you want to filter from table 2 according to the ids of table 1.
can do this
table_2 = category1_tbl.objects.filter(id=table_1.category1_id))
print(table_2.first().name)

Grist: lookup value from another table

Attempting to learn Grist, and don't know Python...but willing to learn. Just trying to draw the lines between Python and formulas.
I have a table that has "Items": fields named "ProductID" "collection" & "buyer"
There is another table that is named "Sales": fields named "Sku"(same as ProductID) "Qty" "Cost" "Sales" "Date"
I would like to create another table, that consolidates the data into one document (since all of sales may not be in all of items, and sales has a ton of duplicates due to the date the transaction occurred.)
Something like: "Sku" "Buyer" "collection" "Qty" "Cost" "Sales" "margin"(formula to calculate)
"Sales" would need to be the root table, and reference the "items" table for more information.
If my data was smaller, in excel I would:
copy skus, paste in new tab, remove duplicates, and run a sumifs.
ex: if in cell B1 and sku is in a1:
=Sumifs(sales!$Qty, sales!$sku, A1)
Then I would run an index match on items in c1 for example:
=index(items!$Buyer, match(a1, Items!$ProductID, 0), 1)

(Very late, but answering in case it helps others.)
It sounds like the resulting table should have one record per Sku (aka ProductId). You can do it in two ways: as another view of the Items table or as a summary of the Sales table grouped by Sku.
In either case, you can pull in the sum of Qty or Cost as needed.
In case of a summary table, such sums get included automatically (more on that in https://support.getgrist.com/summary-tables/#summary-formulas).
If you base it on the Items table, you can look up relevant Sales records by adding a formula column (e.g. named sales) with formula:
Sales.lookupRecords(Sku=$ProductID)
Then you can easily add sums of Qty and Cost as columns with formulas like SUM($sales.Qty) or SUM($sales.Cost).

Is there an Excel function to look up & not stop at first match but look for all the values (dates) and return "Yes/No" if it matches certain date

I have two data sets in excel. Like below (Table 1 and Table 2) I am trying to get result in Table 1 as Yes/No if the date matches for the corresponding ID in Table 2. See result Column in Table 1. Can you please let me know how this can be achieved using excel formulas? Thanks
Table 1
Table1
Table 2
Table2

You could try this:
The formula I've used is:
=IF(COUNTIFS($G$3:$G$6;A3;$H$3:$H$6;B3)=0;"No";"Yes")

How to add values from one column to another table using join?

I am having difficulties in merging 2 tables. In fact, I would like add a column from table B into table A based on one key
Table A (632 rows) contains the following columns:
part_number / part_designation / AC / AC_program
Table B (4,674 rows) contains the following columns:
part_ref / supplier_id / supplier_name / ac_program
I would like to add the supplier_name values into Table A
I have succeeded compiling a left joint based on the condition tableA.part_number == tableB.part_ref
However, when I look at the resulting Table, additional rows were created. I have now 683 rows instead of the initial 632 rows in Table A. How do I keep the same number of rows with including the supplier_name values in Table A? Below is presented a graph of my transformations:
Here is my code:

Table B seems to contain duplicates (part_ref). The join operation creates a new record in your original table for each duplicate in Table B
import pandas as pd
print(len(pd.unique(updated_ref_table.part_ref)))
print(updated_ref_table.shape[0])