hottie | python code hot-swapping | Cryptocurrency library
kandi X-RAY | hottie Summary
kandi X-RAY | hottie Summary
Code hot-swapping for Python 2.7 classes and functions. GOAL: Feel a little bit like [Bret Victor][]. NON-GOAL: Provide a general solution for hot-swapping everything in all edge-case scenarios.
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Top functions reviewed by kandi - BETA
- Memorizes an object .
- Wrap a class decorator .
- Reload module mtime .
- Decorator for functions .
- Get the time of a file .
- Reload instances by key .
- Make an object identity .
- Remember module mtime .
hottie Key Features
hottie Examples and Code Snippets
customer_ids = customers.index.get_level_values(0)
invoices = pd.Series(customers.index.get_level_values(1))
first_invoices = invoices.groupby(customer_ids, sort=False).first()
CustomerID
17850.0 536365
13047.0
Community Discussions
Trending Discussions on hottie
QUESTION
I'm using the Online Retail dataset from the UCI Machine Learning Repository in pandas, and I'm setting a multi-index consisting in CustomerID
as first level, and InvoiceNo
as second level. Here's the code:
ANSWER
Answered 2020-Dec-06 at 17:40Feel like there's something a little shorter, but seems to work. Pull out the invoice numbers, groupby
the customer ID, pick first invoice in each group:
QUESTION
I was coding a model with Tensorflow and I run out of memory on my PC, then I try the same on Google Colab and I got the same result.
My dataset shape was innitially this:
...ANSWER
Answered 2020-Aug-03 at 09:53Yes there is a solution. You should load your data and transform it using the tf.data.Dataset
API.
As few comments says that you will have to shorten your Description
column, having a threshold value so to say. But Using the Dataset
pipeline you will be sure that it won't load complete dataset into memory but only one Batch
at a time.
Tensorflow also recommends using this API for input pipeline. It will be a learning curve using it instead of pandas
. But I will recommend doing it for better performance. There are a lot of tutorials. I will suggest to follow a tutorial that is loading the dataset directly in to tf.data.Dataset
.
QUESTION
I have a pandas dataframe. Here are the first five rows:
...ANSWER
Answered 2020-Jan-18 at 00:23This should do the trick:
QUESTION
I already wrote a working project but my problem is, the last part.I have already Read 500.000 row from csv file into vector, then put into the hashtable.I can print whole hashtable but I need to pick top 10 Quantity from my hashtable.Just be clear, I am not about to sort the whole hashtable, just pick top 10.
The topic of my project is,program must be able to store individual products (given with StockCode) from csv file and insert it into a suitable data structure. If that product is already inserted into the structure, its counter must be increased by the quantity of the order.After reading and processing is over, your program must list the “top 10” products ordered by individuals.
There is rule about the libraries, This will be a proper C++ class. You must be able to create many instances of this class. (Please use no third party libraries and C++ STL, Boost etc.) However, you can use, iostream, ctime, fstream, string like IO and string classes.
Important note: Only thing I should focus is speed, storage or size is not a problem.
What I've done so far is,
- Read Csv file row by row into vector
- Stockcodes in row[1], Quantity in row[3]
- Put them into Hashtable and increase their quantity by the quantity of the order.
- Print the whole hash table.
What I need to do is,
- Print the Top 10 Quantity
Now let's share Example csv file, Driver program codes, Output of the print function.
Csv File look like this:
...ANSWER
Answered 2019-Dec-18 at 12:35Since this is homework, I will avoid writing actual code. Since you do not have any prior information about the actual data set, you will need to loop through it, which is a linear complexity. In order to find the top 10 items I advise you to create an array of 10 items to store the best items you get so far.
The first step is to copy the first 10 elements into your array.
The second step is sort your array of 10 items descendingly, so you will always use the last item for comparison.
Now you can loop the big structure and on each step, compare the current item with the last one of the array of ten elements. If it's lower, then do nothing. If it's higher, then find the highest ranked item in your array of 10 items which is smaller than the item you intend to insert due to higher quality. When you find that item, loop from the end until this item until your array of ten elements and on each step override the curret element with the current one. Finally override the now duplicate element.
Example: Assuming that your 7th element has lower quality than the one you intend to insert, but the 6th has higher quality override 9th element with the 8th, then the 8th with the 7th and then the 7th with the item you just found. Remember that array indexes start from 0.
QUESTION
I am trying to apply grouping_id on result applying cube. But it throws an error.
Dataframe:
...ANSWER
Answered 2019-Sep-01 at 07:38You can achieve the desired result via the following operations:
QUESTION
I am a beginner and have spent considerable amount of time on this. I was partially able to solve it.
Problem: I want to ignore all words that have either the
or The
. E.g. atheist, others, The, the
will be excluded. However, hottie
shouldn't be included because the
doesn't occur inside the word as a whole word.
I am using Python's re
engine.
Here's my regex:
...ANSWER
Answered 2018-Oct-13 at 16:25The approach is simpler than your original regular expression:
QUESTION
I have a quiz with a few questions/answers using an Accordion
, AccordionItem
, and Link
.
Everything works great except for the Link
, it renders perfectly when outside the accordion component line 50 in the fiddle, but does not work when it is nested in sampleQuestions > question1 > answer
, line 59 in the fiddle.
It renders the answer as:
Ottawa baby!! Check [object Object] for more details.
Instead of the desired link: Ottawa baby!! Check wikipedia link b for more details.
Here is the code for reference, but I recommend skipping directly to the fiddle below the code, clicking the first question, and seeing the issue first hand.
...ANSWER
Answered 2018-Sep-20 at 05:14You can't really put a react component inside of a string generally. There are ways to do it, namely by using react-jsx-parser
, but we won't go into that.
One possibly solution is doing the following: Setting up a dumb component that renders an array of children.
QUESTION
I have a large dataset of the basket information with unique invoice numbers in Excel shee. There are 540380 products belonging to over 24000 transactions(baskets). Ex:
- InvoiceNo Description
- 536365 WHITE HANGING HEART T-LIGHT HOLDER
- 536365 WHITE METAL LANTERN
- 536365 CREAM CUPID HEARTS COAT HANGER
- 536365 KNITTED UNION FLAG HOT WATER BOTTLE
- 536365 RED WOOLLY HOTTIE WHITE HEART.
- 536365 SET 7 BABUSHKA NESTING BOXES
- 536365 GLASS STAR FROSTED T-LIGHT HOLDER
- 536366 HAND WARMER UNION JACK
- 536366 HAND WARMER RED POLKA DOT
- 536367 ASSORTED COLOUR BIRD ORNAMENT
- 536367 POPPY'S PLAYHOUSE BEDROOM
- 536367 POPPY'S PLAYHOUSE KITCHEN
- 536367 FELTCRAFT PRINCESS CHARLOTTE DOLL
All of the products are listed in rows. What I simply need is each transactions with same unique IDs to be listed in multiple columns. Ex;
- 536365 - WHITE METAL LANTERN, CREAM CUPID HEARTS COAT HANGER, etc
- 536367 - POPPY'S PLAYHOUSE KITCHEN, POPPY'S PLAYHOUSE BEDROOM, etc
- 536366 - HAND WARMER UNION JACK, HAND WARMER RED POLKA DOT, etc
I have tried to convert this with pivot table. The result I get is like this
I am trying to have it in this format ; here
...ANSWER
Answered 2018-May-19 at 17:38Pivot Tables have an infinite number of possible configurations.
In this case, add both fields as Rows, then right-click one of the invoice numbers and choose Field Settings
and on the Layout
tab choose
Show item labels in tabular form
.
...or choose a different Report Layout in the pivot table's Design menu:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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Install hottie
You can use hottie like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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