hira | Hira is a command to transliterate ASCII to Hiragana | Data Manipulation library
kandi X-RAY | hira Summary
kandi X-RAY | hira Summary
Hira accepts, as argument text or as standard input, romaji text. It copies the text to standard output, converting the text that matches the romaji format to hiragana. Note that the output may not be accurate because of false matches and the inability to generate things like the tsu consonant-extending symbol.
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QUESTION
I recently picked up a project a little out of my comfort zone and I'm not sure how to approach part of it. This may be a duplicate, but I haven't been able to find any solid answers in my searching. I've worked in other languages, but am new to python/pandas which is what I'm being requested to do this in.
My end goal is an automated script to send out an "In Approval" table to managers of all active orders waiting to be approved. The part I'm having issues with is tackling the actual data. I import the data from a CSV, and my initial plan was to break different columns of the CSV into 2 dataframes. 1 with the active approvals and 1 with all the order data. I was then going to iterate through the Approvals based on a unique ID and run it through a class that queries and returns orders matching that ID. Then I found out that Pandas doesn't iterate like I'm used to in other languages, where I'd just run it through a ForEach.
So my question would be, is there a best known method to iterate through and query data like this, or is there some Pandas magic I'm missing that will allow me to sort and pull out data I can format into an HTML table for presentation?
EDIT Here is a simplified and bleached version of the data I'm working with and what I'm trying to turn it into. I did this as a table for ease of readability.
Approval_Id Approval_Status Approver_Status Approver_Type Approver_Name Receiver Total_Cost Product 1138 ACTIVE Approved Manager Krabs, Eugene SquarePants, SpongeBob 26375 Network Gear 1138 ACTIVE Approved Manager Krabs, Eugene SquarePants, SpongeBob 26375 PC Gear 1138 ACTIVE Awaiting Approval Finance Hira, Jeffery SquarePants, SpongeBob NA Network Gear 1138 ACTIVE Awaiting Approval Finance Hira, Jeffery SquarePants, SpongeBob NA PC Gear 1138 ACTIVE To be approved Signature Authority Pennyworth, Alfred SquarePants, SpongeBob NA Network Gear 1138 ACTIVE To be approved Signature Authority Pennyworth, Alfred SquarePants, SpongeBob NA PC Gear 1138 ACTIVE To be approved Signature Authority Pines, Stan SquarePants, SpongeBob NA Network Gear 1138 ACTIVE To be approved Signature Authority Pines, Stan SquarePants, SpongeBob NA PC Gear 6585 APPROVED Approved Finance Hira, Jeffery Omashu, Bumi NA Network Gear 6585 APPROVED Approved Finance Hira, Jeffery Omashu, Bumi NA PC Gear 6585 APPROVED Approved Finance Hira, Jeffery Omashu, Bumi NA Other 6585 APPROVED Approved Manager Kuei, Earth King Omashu, Bumi 194485 Network Gear 6585 APPROVED Approved Manager Kuei, Earth King Omashu, Bumi 194485 PC Gear 6585 APPROVED Approved Manager Kuei, Earth King Omashu, Bumi 194485 Other 6585 APPROVED Approved Signature Authority Pennyworth, Alfred Omashu, Bumi NA Network Gear 6585 APPROVED Approved Signature Authority Pennyworth, Alfred Omashu, Bumi NA PC Gear 6585 APPROVED Approved Signature Authority Pennyworth, Alfred Omashu, Bumi NA Other 6585 APPROVED Approved Signature Authority Pines, Stan Omashu, Bumi NA Network Gear 6585 APPROVED Approved Signature Authority Pines, Stan Omashu, Bumi NA PC Gear 6585 APPROVED Approved Signature Authority Pines, Stan Omashu, Bumi NA OtherI'm looking to return the ACTIVE rows under Approval_Status and get rid of the duplicate entries out of the Approver columns, while grabbing only a single copy of the number out of the Total_Cost. This is what I want to end state to look like:
Approval_Id Approver_Status Approver_Type Approver_Name Receiver Total_Cost 1138 Approved Manager Krabs, Eugene SquarePants, SpongeBob 26375 1138 Awaiting Approval Finance Hira, Jeffery SquarePants, SpongeBob 26375 1138 To be approved Signature Authority Pennyworth, Alfred SquarePants, SpongeBob 26375 1138 To be approved Signature Authority Pines, Stan SquarePants, SpongeBob 26375 ...ANSWER
Answered 2021-Apr-20 at 01:56This will do what you ask, split into a filter, colun selection and duplicate dropping operations for clarity:
QUESTION
I am currently using a japanese conversion library called pykakasi
I am trying to write a function so that it converts the japenese name to a romanised version:
Please find my function below:
...ANSWER
Answered 2021-Mar-17 at 13:11kakasi().convert()
returns a list ob dictionaries. You have to grab the "hepburn" parts and then combine them to a final string:
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