SHAD | Scalable High-performance Algorithms and Data-structures
kandi X-RAY | SHAD Summary
kandi X-RAY | SHAD Summary
Scalable High-performance Algorithms and Data-structures
Support
Quality
Security
License
Reuse
Top functions reviewed by kandi - BETA
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of SHAD
SHAD Key Features
SHAD Examples and Code Snippets
Community Discussions
Trending Discussions on SHAD
QUESTION
... NOT a table)
Is it possible to do alternating row shading in a paragraph element where the rows are wrapped? There is no :nth-child technique here, because we're only talking about one element. For example if we had,
ANSWER
Answered 2021-Apr-29 at 14:12Color them with a repeating gradient:
QUESTION
I am trying to implement a toggle all on a main switch, but it is not working as expected. I have dataTables and I am using this code to hide/show columns:
...ANSWER
Answered 2021-Apr-14 at 14:44Whenever your switch-all checkbox is clicked you can simply loop through your other checkboxes to get value of data-column attribute and then using this value you can simply hide/show your columns.
Demo Code :
QUESTION
I am using ion.RangeSliders and I need to initialize about 10 sliders. So I decided to use JavaScript Class constructor method.
This is what I've done:
...ANSWER
Answered 2021-Apr-06 at 14:25var table = $("#example").DataTable();
class IonRangeWrapper {
inputFrom = null;
inputTo = null;
table = null;
slider_range = { from: 0, to: 0 };
constructor(range, min, max, inputFrom, inputTo, table) {
var _this = this;
this.inputFrom = inputFrom;
this.inputTo = inputTo;
this.table = table;
range.ionRangeSlider({
type: "double",
min: min,
max: max,
from: min,
to: max,
onStart: (data) => _this.update(data),
onFinish: (data) => _this.update(data)
});
var instance = range.data("ionRangeSlider");
inputFrom.on("input", function () {
var { to } = _this.slider_range;
var val = $(this).prop("value");
if (val < min) { val = min; }
else if (val > to) { val = to; }
instance.update({ from: val });
});
inputTo.on("input", function () {
var { from } = _this.slider_range;
var val = $(this).prop("value");
if (val < from) { val = from; }
else if (val > max) { val = max; }
instance.update({ to: val });
});
}
update(data) {
var from = data.from;
var to = data.to;
this.slider_range = { from, to };
this.inputFrom.prop("value", from);
this.inputTo.prop("value", to);
this.table.draw();
}
}
// Age Slider
var rangeAge = $(".rangeAge");
var inputFromAge = $(".inputFromAge");
var inputToAge = $(".inputToAge");
var minAge = 10;
var maxAge = 70;
new IonRangeWrapper(rangeAge, minAge, maxAge, inputFromAge, inputToAge, table);
QUESTION
I have time-series data that collected weekly basis, where I want to see the correlation of its two columns. to do so, I could able to find a correlation between two columns and want to see how rolling correlation moves each year. my current approach works fine but I need to normalize the two columns before doing rolling correlation and making a line plot. In my current attempt, I don't know how to show 3-year, 5 year rolling correlation. Can anyone suggest a possible idea of doing this in matplotlib?
current attempt:
Here is my current attempt:
...ANSWER
Answered 2021-Mar-11 at 14:17Customizing the legend in esaborn is painstaking, so I created the code in matplotlib.
- Corrected the method for calculating the correlation coefficient. Your code gave me an error, so please correct me if I'm wrong.
- The color of the line graph seems to be the color of the tableau from the desired graph color, so I used the 10 colors of the tableau defined in matplotlib.
- To calculate the correlation coefficient for 3 years, I am using 156 line units, which is 3 years of weekly data. Please correct this logic if it is wrong.
- I am creating 4-week and 3-year graphs in a loop process respectively.
QUESTION
I have time-series data collected based on a weekly basis. I need to split given time series data into the specific year and find out top n columns for each sub dataframe. To do so, I tried to use nlargest but not getting the expected sub dataframe after filtering out the columns based on row sum. Can anyone point me out what would be correct way to do this? Any idea?
my current attempt:
...ANSWER
Answered 2021-Jan-26 at 20:58Using a dictionary of dataframes by year:
QUESTION
I created a Datatables using the Datatable treeGrid: https://github.com/homfen/dataTables.treeGrid.js
my code:
...ANSWER
Answered 2020-Dec-08 at 21:03Note that DataTable will put your container #example inside of another div #example_wrapper, so when you click again there is not just your clean element.
To solve this, create the #example element dynamically inside of a div container.
QUESTION
I have air pollution time series data that I need to make a forward period estimation. To do so, I used randomforest regressor from scikit-learn to make prediction, and I want to visualize the prediction output but I have trouble visualizing the regression output where x-axis must show the right time index. Can suggest me how should I get better visualization for my below regression approach? Is there any better way to make this happen? Any idea?
my attempt
...ANSWER
Answered 2020-Dec-08 at 07:14You will need to provide the dates explicitly to matplotlib.pyplot.plot().
QUESTION
I want to make forward forecasting for monthly times series of air pollution data such as what would be 3~6 months ahead of estimation on air pollution index. I tried scikit-learn models for forecasting and fitting data to the model works fine. But what I wanted to do is making a forward period estimate such as what would be 6 months ahead of the air pollution output index is going to be. In my current attempt, I could able to train the model by using scikit-learn. But I don't know how that forward forecasting can be done in python. To make a forward period estimate, what should I do? Can anyone suggest a possible workaround to do this? Any idea?
my attempt
...ANSWER
Answered 2020-Nov-06 at 15:57The model you have built links what you are trying to model, 'pollution_index', to some input variables, in your case ['dew', 'temp', 'press', 'wnd_spd', 'rain']. So to predict pollution_index into the future using your model, at the high level, you need to estimate what these variables would be over the next 3-6 months, and then run your model on that. Practically, you need to come up with something that looks like X_test but has your projections for these variables for the future, and then call:
yhat = reg.predict(X_test)
... to produce the model estimate of where the pollution_index will be. Hope this makes sense. This gives you a "mechanical" ability to use your model for prediction.
For example, following up on your main example where reg is BayesianRidge() that you fit, we would do the following:
QUESTION
What I'm trying to do is set up a table just like this: https://datatables.net/examples/basic_init/alt_pagination.html
Copied the code but then no success. I've tried so many different variables and removing all but the necessary code and I'm at a loss for what the issue may be.
I've gone through several other similar SOF questions and some mentioned "sDom" could be the case so I tried a few variations I've found online but no luck yet.
Current JS Fiddle attempt: https://jsfiddle.net/nf50j3cm/#&togetherjs=FjamrJizOe
table.html
...ANSWER
Answered 2020-Nov-06 at 10:26You may well have tried some or all of these, but here are some thoughts which may help:
Make sure you're not using any configuration from the legacy version of datatables. You are using 1.10+ - so make sure that you use the correct v1.10 config.
Get it working without any Django tags first - just a standalone page. Then integrate the tags in stages so that you check it still works.
You can start with this example - get this working first and then add in the correct options as you need them.
Make sure you take some time to read the documentation - the datatables documentation is really good, and spending a bit of time on reading and understanding it will save a lot of time in the long run.
Also, try declaring your css / js imports in the HTML .
To start - just remove all the options and use the defaults:
QUESTION
I tried to get sum over the columns by row-wise for my time series data but the sum is weird. I reset_index for date and just take sum for all columns by rows. Can anyone point me out what's going on with this? Any quick thought? Thanks
my attempt:
Here is the data that I used and my attempt here:
...ANSWER
Answered 2020-Sep-24 at 16:32You're adding strings together. You probably want the number of stores as an integer. Try this immediately after creating the df, and see if your code starts working.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install SHAD
Support
Reuse Trending Solutions
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items
Find more librariesStay Updated
Subscribe to our newsletter for trending solutions and developer bootcamps
Share this Page
