kde | Idyll example post about kernel density | Analytics library

 by   mathisonian JavaScript Version: Current License: MIT

kandi X-RAY | kde Summary

kandi X-RAY | kde Summary

kde is a JavaScript library typically used in Analytics, Jupyter applications. kde has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

Idyll example post about kernel density.
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              kde has a low active ecosystem.
              It has 85 star(s) with 17 fork(s). There are 5 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              kde has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of kde is current.

            kandi-Quality Quality

              kde has 0 bugs and 0 code smells.

            kandi-Security Security

              kde has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              kde code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              kde is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              kde releases are not available. You will need to build from source code and install.
              Installation instructions are not available. Examples and code snippets are available.
              kde saves you 338 person hours of effort in developing the same functionality from scratch.
              It has 811 lines of code, 0 functions and 14 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

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            kde Key Features

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            kde Examples and Code Snippets

            No Code Snippets are available at this moment for kde.

            Community Discussions

            QUESTION

            How to use kde_kws parameters for seaborn.histplot()?
            Asked 2021-Jun-08 at 12:47

            I am trying to use sns.histplot() instead of sns.distplot() since I got the following message in colab:

            FutureWarning: distplot is a deprecated function and will be removed in a future version. Please adapt your code to use either displot (a figure-level function with similar flexibility) or histplot (an axes-level function for histograms).

            Code:

            ...

            ANSWER

            Answered 2021-Jan-08 at 10:15

            From the documentation kde_kws= is intended to pass arguments "that control the KDE computation, as in kdeplot()." It is not entirely explicit which arguments those are, but they seem to be the ones like bw_method= and bw_adjust= that change the way the KDE is computed, rather than displayed. If you want to change the appearance of the KDE plot, the you can use line_kws=, but, as the name implies, the KDE is represented only by a line and therefore cannot be filled.

            If you want both a histogram and a filled KDE, you need to combine histplot() and kdeplot() on the same axes

            Source https://stackoverflow.com/questions/65623867

            QUESTION

            GTK+ Drag File Onto GUI
            Asked 2021-Jun-06 at 01:19

            I am working on an application in GTK+ and C, and am wondering if there is a way to support dragging files onto the GUI (across File Explorers and Desktop Environments). I have been able to achieve dragging text (through gtk_drag_dest_set and g_signal_connect) but dragging files onto the GUI has no effect. I am wondering if this is something that varies by Distro and Desktop Environment or if there is a good way to do this universally. My code for dropping text is here and the Makefile here.

            Surely there is a way to do this? I am able to drag files into apps like Firefox, Sublime Text, and VS Code...

            EDIT (Clarification): I am using XFCE, but I would like to find a solution which supports other Desktops like Gnome and KDE.

            ...

            ANSWER

            Answered 2021-Jun-06 at 01:19

            Change your target entries to this:

            Source https://stackoverflow.com/questions/67711031

            QUESTION

            Remove from file a string and another string and everything after it
            Asked 2021-Jun-02 at 17:03

            Say I have a file teams with contents as follows:

            ...

            ANSWER

            Answered 2021-Jun-02 at 16:21

            You can try using sed's -e option (see 3.8 Multiple commands syntax):

            Source https://stackoverflow.com/questions/67808884

            QUESTION

            Addin median line to my seaborn multi columns plot
            Asked 2021-Jun-01 at 20:24

            Can you please help me adding the median to each of the seaborn plots ? We have here one plot per specialty, and this is allowed by the following line of code:

            sns.displot(data=all_df, x="exp", hue="sexe", col='specialite', kind="kde"), which gives:

            Thank you very much

            ...

            ANSWER

            Answered 2021-Jun-01 at 20:24

            You could add the medians manually, e.g. using .map_dataframe(). Here is some example code using the penguins dataset:

            Source https://stackoverflow.com/questions/67795022

            QUESTION

            Seaborn probability histplot - KDE normalization
            Asked 2021-Jun-01 at 11:01

            When plotting histplot with default stats (density) and KDE flag set to True, the area under the curve is equal to 1. From the Seaborn documentation:

            "The units on the density axis are a common source of confusion. While kernel density estimation produces a probability distribution, the height of the curve at each point gives a density, not a probability. A probability can be obtained only by integrating the density across a range. The curve is normalized so that the integral over all possible values is 1, meaning that the scale of the density axis depends on the data values."

            Below is the example of density histplot with default KDE normalized to 1.

            However, you can also plot a histogram with stats as count or probability. Plotting KDE on top of those will produce the below:

            How is the KDE normalized? The area certainly is not equal to 1, but is has to be somehow normalized. I could not find this in the docs, the only explanation regards KDE plotted for density histogram. Any help appreciated here, thank you!

            ...

            ANSWER

            Answered 2021-Jun-01 at 09:00

            As far as I understand it, the KDE (kernel density estimation) is simply smoothing the curve formed from the data points. What changes between the three representations is the values from which it is computed :

            • With density estimation, the total area under the KDE curve is 1 ; which means you can estimate the probability of finding a value between two bounding values with an integral computation. I think they smooth the data points with a curve, compute the area under the curve and divide all the values by the area so that the curve keeps the same look but the area becomes 1.

            • With probability estimation, the total area under the KDE curve does not matter : each category has a certain probability (e.g. P(x in [115; 125]) = 0.2) and the sum of the probabilities for each category is equal to 1. So instead of computing the area under the KDE curve, they would count all the samples and divide each bin's count by the total.

            • With the counting estimation, you get a standard bin/count distribution and the KDE is just smoothing the numbers so that you can estimate the distribution of values - so that you can estimate how your observations might look like if you take more measures or use more bins.

            So all in all, the KDE curve stays the same : it is a smoothing of the sample data distribution. But there is a factor that is applied on the sample values based on what representation of the data you are interested in.

            However, take what I am writing with a grain of salt : I think I am not far from the truth, from a mathematical point of view, but maybe someone could explain it with more precise terms - or correct me if I'm wrong.

            Here is some reading about Kerneld density estimation : https://en.wikipedia.org/wiki/Kernel_density_estimation ; but for short, this is a smoothing method with some special methematical properties depending on the parameters used.

            Source https://stackoverflow.com/questions/67785211

            QUESTION

            Setting Y limit of matplotlib range automatically
            Asked 2021-May-30 at 21:29

            I have been asked to plot some histograms and KDEs using seaborn. We just want to focus on a range of the X axis, so I use ax.set_xlim(20_000, 42_460). In some cases most of the data is before 20.000 so the plot looks like this:

            The full plot looks like this:

            There is data, but since most of it is on the range (0,20.000) matplotlib adjusts the Y limit to it and in the range (20.000, 42.460) the data cannot be appreciated.

            I would like to know a way to automatically adjust the Y limit so the data in the range (20.000, 42.460) is visible. I have been asked to not to plot just the range (20.000, 42.460), I have to plot the range (0, 42.460) and then zoom in the range (20.000, 42.460).

            I have found Axes.relim() that can take an argument visible_only=True but it does not seem to work as I expected.

            Other option could be to use a different library to calculate the histogram data, calculate then the Y limit and set it with ax.set_ylim(0, range_max) but we are also plotting a seaborn KDE that has the same problem and that could be more complicated. Here it is an immage of a good plot:

            EDIT:

            To reproduce the plot use this data and this code:

            ...

            ANSWER

            Answered 2021-May-30 at 21:29

            The fastest way to achieve what you want is to subset your DataFrame:

            Source https://stackoverflow.com/questions/67764875

            QUESTION

            How to use hist_kws in seaborn displot?
            Asked 2021-May-30 at 16:19

            I want to plot histogram and kde line in the same plot with different color. I want to set green color for the histogram and blue color for the kde line. I managed to figure out using line_kws to change the kde line color but hist_kws is not working on the displot. I have tried using histplot but I am unable to put different color for the hist and the line.

            ...

            ANSWER

            Answered 2021-May-30 at 11:36

            You can use line_kws={'color': ...} to change the color of the kde line. And directly facecolor=... to change the color of the histogram.

            Here is an example:

            Source https://stackoverflow.com/questions/67759783

            QUESTION

            I was expecting segmentation fault or some kind of out of bound exception but did not get it when using command line arguments in a C program
            Asked 2021-May-30 at 09:48

            I am learning C programming from "Learn c the hard way by Zed Shaw". He asks the learner to try and break their own code.

            So I tried the following C code and thought printing more values that I gave argv will break it but it did not until later.

            ...

            ANSWER

            Answered 2021-May-30 at 09:48

            A segmentation fault happens when the code try to access a memory region that is not available.

            Accessing an array out of bounds doesn't means that the memory before or after the area occupied by the array is not available: The compiler or the runtime usually put all varibales or data in general in a given block of memory. If your array is the last item of such a memory block, the accessing it with a to big index will produce a Segmentaion Fault but is the array is in the middle of the memory block, you will just access memory used for other data, giving unexpected result and undefined behavior.

            If the array (In may example, but valid for anything) is written, accessing available memory will not produce a segmentation fault but will overwrite something else. It may produce unexpected results or crash or segmentation fault later! This kind of bug is frequently very difficult to find because the unexpected result/behavior looks completely independent of the root cause.

            Source https://stackoverflow.com/questions/67759381

            QUESTION

            how to make docker keep running in frontend and not exit so that I could see the running log output
            Asked 2021-May-21 at 09:25

            Now I want to make a docker command run in frontend so that I could see the log output. Now I am using this command to run my docker container:

            ...

            ANSWER

            Answered 2021-May-21 at 09:21

            Basically, you should get the point (based on your latest comment). Docker is based on some command, when it's done - it stops the container.

            So to make it continuously running you should have command and run infinitely.

            Also check this answer as well, there are more explanation Why docker exiting with code 0

            One of the easiest solution is to tail some logs. Like,

            Source https://stackoverflow.com/questions/67631739

            QUESTION

            Joing lists containing Hebrew in Tcl?
            Asked 2021-May-19 at 19:00

            I'm using Tcl 8.6.11, SQLite 3.35.5., and Manjaro Linux KDE.

            I'm trying to take a verse in Hebrew and write it one word per row in a data table. This is one verse, for example.

            בְּרֵאשִׁית בָּרָא אֱלֹהִים אֵת הַשּׁמַיִם וְאֵת הָאָֽרֶץ׃

            The goal was to write the data to a list and then join the list as the values part of a SQL insert statement. As you can see, each [lindex $l n] prints as expected but the [join $l ,] starting at the second element places the Hebrew in the first position instead of the last, causing the SQL statement to fail.

            How can I get each component of the [join $l ,] to be ordered as they are in the [lindex $l n]?

            Thank you.

            ...

            ANSWER

            Answered 2021-May-19 at 08:33

            As always with SQL, use parameters in a prepared statement instead of trying to add values directly into a query string at runtime. Something like:

            Source https://stackoverflow.com/questions/67597263

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