koala | Excel calculations into python for better performances
kandi X-RAY | koala Summary
kandi X-RAY | koala Summary
Koala converts any Excel workbook into a python object that enables on the fly calculation without the need of Excel. Koala parses an Excel workbook and creates a network of all the cells with their dependencies. It is then possible to change any value of a node and recompute all the depending cells.
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Top functions reviewed by kandi - BETA
- Generates the graph
- The address of this range
- Return a new RangeCore
- Builds a spreadsheet
- Emit the ast tvalue
- Find a special function in the AST
- Return all predecessors of the node
- Prune the graph
- Make a networkx graph
- Read the named ranges from the workbook
- Linest method for linest
- Return a dictionary representation of the expression
- Create a Cell from a dictionary
- Reset all cells
- Round a number
- Construct a subgraph of a given seed
- Checks if the AST node has an operator or function
- Creates a new RangeCore
- Returns a set of cell addresses that are alive
- Emits the expression
- Apply a function to a function
- Clean pointer cells
- Emit the function
- Get the number of linest formulas in excel
- Create a list of cells from a range
- Calculate the IRR
- Performs a vlookup lookup
koala Key Features
koala Examples and Code Snippets
Community Discussions
Trending Discussions on koala
QUESTION
I am trying to split my data into train and test sets. The data is a Koalas dataframe. However, when I run the below code I am getting the error:
...ANSWER
Answered 2022-Mar-17 at 11:46I'm afraid that, at the time of this question, Pyspark's randomSplit
does not have an equivalent in Koalas yet.
One trick you can use is to transform the Koalas dataframe into a Spark dataframe, use randomSplit
and convert the two subsets to Koalas back again.
QUESTION
I am doing some simulation where I compute some stuff for several time step. For each I want to save a parquet file where each line correspond to a simulation this looks like so :
...ANSWER
Answered 2022-Mar-16 at 20:38You are making a classic dask mistake of invoking the dask API from within functions that are themselves delayed. The error indicates that things are happening in parallel (which is what dask does!) which are not expected to change during processing. Specifically, a file is clearly being edited by one task while another one is reading it (not sure which).
What you probably want to do, is use concat
on the dataframe pieces and then a single call to to_parquet.
Note that it seems all of your data is actually held in the client, and you are using from_parquet. This seems like a bad idea, since you are missing out on one of dask's biggest features, to only load data when needed. You should, instead, load your data inside delayed functions or dask dataframe API calls.
QUESTION
I've a Tabview
along with a list of azlist scrollable bar
. When scrolling through the azlist bar
, the TabView
moves along easily trying to slide to another Tab
. I want the TabView
to be stay put during scrolling of the azlist scrollable bar
. Is there a way to prevent this behavior for TabView
? I've tried declare a CustomScrollPhysic
but it just didn't work the way I want it to be.
Below are attached gif & code for it.
import this in pubspec
...ANSWER
Answered 2022-Mar-11 at 05:03I have a very similar page: two tabs both containing alphabet lists and the scrolling are working well.
I do not have a CustomScrollPhysics on my widgets, but use a TabController.
QUESTION
I'm trying to port over some "parallel" Python code to Azure Databricks. The code runs perfectly fine locally, but somehow doesn't on Azure Databricks. The code leverages the multiprocessing
library, and more specifically the starmap
function.
The code goes like this:
...ANSWER
Answered 2021-Aug-22 at 09:31You should stop trying to invent the wheel, and instead start to leverage the built-in capabilities of Azure Databricks. Because Apache Spark (and Databricks) is the distributed system, machine learning on it should be also distributed. There are two approaches to that:
Training algorithm is implemented in the distributed fashion - there is a number of such algorithms packaged into Apache Spark and included into Databricks Runtimes
Use machine learning implementations designed to run on a single node, but train multiple models in parallel - that what typically happens during hyper-parameters optimization. And what is you're trying to do
Databricks runtime for machine learning includes the Hyperopt library that is designed for the efficient finding of best hyper-parameters without trying all combinations of the parameters, that allows to find them faster. It also include the SparkTrials API that is designed to parallelize computations for single-machine ML models such as scikit-learn. Documentation includes a number of examples of using that library with single-node ML algorithms, that you can use as a base for your work - for example, here is an example for scikit-learn.
P.S. When you're running the code with multiprocessing, then the code is executed only on the driver node, and the rest of the cluster isn't utilized at all.
QUESTION
I am having trouble bounding my ListView in QML.
I have taken the example provided by Qt (slightly modified but the exact code from the Qt example has the same issue), and tried to integrate it into my window.
As you can see in the image below, the ListView is supposed to be the size on the white Rectangle in the middle, yet the section headers are always visible, and the list elements are visible until completely out of the container Rectangle ("Guinea Pig" and "Tiger" are completely visible, although one would expect them to be only half visible)
I am sure the error is trivial, but i have tried all sorts of anchors and container types, but can't resolve this issue.
Here is the code :
...ANSWER
Answered 2022-Mar-04 at 18:37You are simply missing the clip
property. That tells the object to prevent child objects from drawing outside of its borders. clip
is set to false by default because most of the time its not needed and has a little bit of a performance hit.
QUESTION
I'm looking to intersect 2 spatial layers, keeping all the non-intersecting features as well.
My first layer is the SA2 from NSW, Australia, which look like
My second layer is the Areas of Regional Koala Significance (ARKS):
When I intersect them, I get part of my desired result, which is subdividing the SA2 by the ARKS.
The thing is that I'd like to have also the rest of the SA2 polygons that don't intersect. The desired result would be a map of the SA2, where the intersecting ones would be subdivided by where they intersect to the ARKS layer, and the ones that don't intersect would contain NA. Something like in the next picture but in a single dataset instead of two: enter image description here
I post my code below:
...ANSWER
Answered 2022-Feb-28 at 08:03Please consider this approach: Once that you have your intersection
, you can remove the intersecting parts with st_difference
. That would effectively split the intersecting SA2 in zones based on ARKS, and leave the rest as they are originally. After that, you can rejoin the dataset with dplyr::bind_rows
, having the ARKS layer, the SA2 intersected split and the SA2 non-intersected as they are originally:
QUESTION
I am trying to join two the dataframes as shown below on the code
column values present in the name_data
dataframe.
I have two dataframes shown below and I expect to have a resulting dataframe which would only have the rows from the `team_datadataframe where the corresponding
codevalue column is present in the
name_data``` dataframe.
I am using koalas for this on databricks and I have the following code using the join operation.
...ANSWER
Answered 2022-Feb-15 at 18:18Try adding suffix parameters:
QUESTION
I try to create a new column in Koalas dataframe df
. The dataframe has 2 columns: col1
and col2
. I need to create a new column newcol
as a median of col1
and col2
values.
ANSWER
Answered 2022-Feb-11 at 16:54I had the same problem. One caveat, I'm using pyspark.pandas instead of koalas, but my understanding is that pyspark.pandas came from koalas, so my solution might still help. I tried to test it with koalas but was unable to run a cluster with a reasonable version.
QUESTION
I am having a small issue in comparing two dataframes and the dataframes are detailed as below. The dataframes detailed below are all in koalas.
...ANSWER
Answered 2022-Feb-09 at 16:11Try this:
QUESTION
I am new to javascript. I'm trying to code a simple program which has 2 variables, each one contains an average number of some calculations, and using if else it should print the variable which contains the higher average as the winner.
without using toFixed() there is no problem, the higher variable is the winner and its printed out, but when I use toFixed(), it prints the lower variable, not the higher one. why is that? picture of the problem
here is the code:
...ANSWER
Answered 2022-Feb-07 at 23:42Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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