histogram | Makes histograms from data | Data Manipulation library

 by   jtprince Ruby Version: Current License: Non-SPDX

kandi X-RAY | histogram Summary

kandi X-RAY | histogram Summary

histogram is a Ruby library typically used in Utilities, Data Manipulation, Numpy applications. histogram has no bugs, it has no vulnerabilities and it has low support. However histogram has a Non-SPDX License. You can download it from GitHub.

Generates histograms similar to R's hist and numpy's histogram functions. Inspired somewhat by Richard Cottons's matlab implementation and the wikipedia histogram article. Tested on latest MRI 1.9.x, 2.x, and jruby (no NArray support for jruby). Known to work on MRI 1.8.7.
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            kandi-support Support

              histogram has a low active ecosystem.
              It has 61 star(s) with 11 fork(s). There are 3 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 2 open issues and 4 have been closed. On average issues are closed in 2 days. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of histogram is current.

            kandi-Quality Quality

              histogram has no bugs reported.

            kandi-Security Security

              histogram has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              histogram has a Non-SPDX License.
              Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

            kandi-Reuse Reuse

              histogram 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.

            Top functions reviewed by kandi - BETA

            kandi has reviewed histogram and discovered the below as its top functions. This is intended to give you an instant insight into histogram implemented functionality, and help decide if they suit your requirements.
            • Returns a new plot that corresponds to the background .
            Get all kandi verified functions for this library.

            histogram Key Features

            No Key Features are available at this moment for histogram.

            histogram Examples and Code Snippets

            Generate a histogram of values .
            pythondot img1Lines of Code : 89dot img1License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            def histogram(name, values, collections=None, family=None):
              # pylint: disable=line-too-long
              """Outputs a `Summary` protocol buffer with a histogram.
            
              Adding a histogram summary makes it possible to visualize your data's
              distribution in Tensor  
            Generate a fixed - width histogram .
            pythondot img2Lines of Code : 68dot img2License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            def histogram_fixed_width_bins(values,
                                           value_range,
                                           nbins=100,
                                           dtype=dtypes.int32,
                                           name=None):
              """Bins the given values for   
            Generate a fixed - width histogram of values .
            pythondot img3Lines of Code : 44dot img3License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            def histogram_fixed_width(values,
                                      value_range,
                                      nbins=100,
                                      dtype=dtypes.int32,
                                      name=None):
              """Return histogram of values.
            
              Given the tensor `va  

            Community Discussions

            QUESTION

            Parallelize histogram creation in c++ with futures: how to use a template function with future?
            Asked 2021-Jun-16 at 00:46

            Giving a bit of context. I'm using c++17. I'm using pointer T* data because this will interop with cuda code. I'm trying write a parallel version (on CPU) of a histogram creator. The sequential version:

            ...

            ANSWER

            Answered 2021-Jun-16 at 00:46

            The issue you are having has nothing to do with templates. You cannot invoke std::async() on a member function without binding it to an instance. Wrapping the call in a lambda does the trick.

            Here's an example:

            Source https://stackoverflow.com/questions/67994778

            QUESTION

            Control the facecolor of histograms
            Asked 2021-Jun-15 at 18:35

            In the following histogram,

            ...

            ANSWER

            Answered 2021-Jun-15 at 18:35

            You could loop through the bars and test whether it is completely to the right of the separation, completely to the left or crosses it. You change the bar's color correspondingly.

            When a bar crosses the separator, the bar gets the color for the left area and its size is narrowed to touch the separator. A copy of the bar can be added, with the right-area color and its x-position moved.

            Source https://stackoverflow.com/questions/67990800

            QUESTION

            How to save and load state with insertUI modules?
            Asked 2021-Jun-15 at 06:17

            I'm trying to save and load state of a shiny app using bookmarks. However, it doesn't work and I wonder whether it is because of inserting dynamic UI. If there are other ways to save and load dynamically rendered ui and resulting output, that would be great too. I don't know where to start and this is as far as I could come.

            Simple example

            ...

            ANSWER

            Answered 2021-Jun-15 at 06:17

            edit: Found another solution emulating what insertUI does but with renderUI:

            Source https://stackoverflow.com/questions/67962291

            QUESTION

            Circular histogram with fitted Von Mises Distribution
            Asked 2021-Jun-13 at 15:13

            For the past days I've been trying to plot circular data with python, by constructing a circular histogram ranging from 0 to 2pi and fitting a Von Mises Distribution. What I really want to achieve is this:

            1. Directional data with fitted Von-Mises Distribution. This plot was constructed with Matplotlib, Scipy and Numpy and can be found at: http://jpktd.blogspot.com/2012/11/polar-histogram.html

            1. This plot was produced using R, but gives the idea of what I want to plot. It can be found here: https://www.zeileis.org/news/circtree/

            WHAT I HAVE DONE SO FAR:

            ...

            ANSWER

            Answered 2021-Apr-27 at 15:36

            This is what I achieved:

            I'm not entirely sure if you wanted x to range from [-pi,pi] or [0,2pi]. If you want the range [0,2pi] instead, just comment out the lines ax.set_xlim and ax.set_xticks.

            Source https://stackoverflow.com/questions/67282865

            QUESTION

            saving content of multiple TinyMCE in Shiny
            Asked 2021-Jun-13 at 13:37

            I am using two instances of tinyMCE in shiny. I would like to save the content of both of these instances as a csv file using a single action button. I can use two action button but that defeats my goal. Not really great with javascript and how to make it work in R. I was able to source some code to save the output of first instance. Following is a working example.

            ...

            ANSWER

            Answered 2021-Jun-13 at 13:37

            You can concatenate the input from two text in onclick -

            Source https://stackoverflow.com/questions/67953474

            QUESTION

            Why are the value of counts in the matplotlib plot and seaborn plot different, and both wrong?
            Asked 2021-Jun-13 at 07:27

            So the dataset that I'm using is tips from seaborn. I wanted to plot a histogram against the total_bill column, and I did that using both seaborn and matlotlib.

            This is my matplotlib histogram:

            plt.hist(tips_df.total_bill);

            And this is my seaborn histogram:

            sns.histplot(tips_df.total_bill)

            As you can see, around a total_bill of 13, the frequency seems to be maximum. However, in matplotlib it's around 68, while its around 48 in seaborn.

            Which are both wrong. Because on typing

            ...

            ANSWER

            Answered 2021-Jun-13 at 07:27

            In a histogram, a "rectangle"'s height represents how many values are in the given range which is in turn described by the width of the rectangle. You can get the width of each rectangle by (max - min) / number_of_rectangles.

            For example, in the matplotlib's output, there are 10 rectangles (bins). Since your data has a minimum around 3 and maximum around 50, each width is around 4.7 units wide. Now, to get the 3rd rectangles range, for example, we start from minimum and add this width until we get there, i.e., 3 + 4.7*2 = 12.4. It then ends at 12.4 + 4.7 = 17.1. So, the counts corresponding to 3rd bin is the number of values in tips_df.total_bill that fall in this range. Let's find it manually:

            Source https://stackoverflow.com/questions/67955646

            QUESTION

            Python: display multiple values in a column for a single value in another column
            Asked 2021-Jun-13 at 04:22

            I have a pandas dataframe with three columns

            ...

            ANSWER

            Answered 2021-Jun-13 at 04:22

            QUESTION

            Weird behavior with ggplot2 geom_histogram
            Asked 2021-Jun-13 at 01:21

            I've run into a weird issue regarding geom_histogram and it can easily be seen by plotting the uniform distribution.

            ...

            ANSWER

            Answered 2021-Jun-13 at 01:21

            As far as I can tell, boundary specifies a spot to be a split between two bins. The rest of bins are set according to the number of bins or supplied break points. If the supplied boundary is outside the range of the data, some clever shifting is done according to the documentation. Maybe with the following examples it becomes clear what boundary does.

            workaround

            if you set limits for the x axis, you can circumvent the issue, although not a very elegant solution.

            Source https://stackoverflow.com/questions/67953325

            QUESTION

            Looking for a tool that extracts data from a plot figure ( here 2D contours from Covariance matrix or Markov chains) and reproduce the original figure
            Asked 2021-Jun-12 at 23:37

            I am looking for an application or a tool which is able for example to extract data from a 2D contour plot like below :

            I have seen https://dash-gallery.plotly.host/Portal/ tool or https://plotly.com/dash/ , https://automeris.io/ , but I have test them and this is difficult to extract data (here actually, the data are covariance matrices with ellipses, but I would like to extend it if possible to Markov chains).

            If someone could know if there are more efficient tools, mostly from this kind of 2D plot. I am also opened to commercial applications. I am on MacOS 11.3.

            If I am not on the right forum, please let me know it.

            UPDATE 1:

            I tried to apply the method in Matlab with the script below from this previous post :

            ...

            ANSWER

            Answered 2021-Jun-12 at 23:37

            Restating the problem - My understanding given the different comments and your updates is the following:

            • someone other than you is in possession of data, which as it happens is 2D data, i.e. an Nx2 matrix;
            • using the covariance matrix, they are effectively saying something about the joint distribution of these two dimensions, specifically about the variance;
            • if they assume a Gaussian distribution, as is implied by your comment regarding 68%, 95% and 99.7% for 1sigma, 2sigma and 3sigma, they can draw ellipses which represent the 2D-normal distribution: these are in fact some of the contour lines associated with the 3D "bell" surface;
            • you have obtained the contour lines in a graph and are trying to obtain the covariance matrix (not the original data...);
            • you are concerned about the complexity of having to extract the information from each ellipsis.

            Partial answer:

            • It is impossible to recover the original data, I hope you are already aware of that, but in case you are not let's just note that the covariance matrix is a summary statistic of the data, much like the average, and although it says something about the data many different datasets could happen to have the same summary statistic (the same way many different sets of numbers can give you an average of 10).
            • It is possible to somewhat recover the covariance matrix, i.e. the 3 numbers a, b and c in the matrix [a,b;b,c], though the error in doing so will likely be large because of how imprecise the pixel representation is. Essentially, you will be looking for the dimensions of the two axes, for the variances, as well as the angle of one of the axes, for the covariance.
            • Unless I am mistaken, under the Gaussian assumption above, you only need to measure this for one of the three ellipses, and then factor by whatever number of sigmas that contour represents. Here you might want to either use the best-defined ellipse, or attempt to use the largest one, which will provide the maximum precision for your measurements (cf. pixelization).
            • Also, the problem of finding the axes and angle for the ellipse need not be as complex as what it seems like in your first trials: instead of trying to find the contour of the ellipses, find the bounding rectangle.
            • In order to further simplify this process, if your images are color-coded the way you show, then a filter on blue pixels might be enough in terms of image processing. Then simply take the minimum and maximum (x,y) coordinates in order to obtain the bounding rectangle.
            • Once the bounding rectangle is obtained, find the equation to your ellipse (that's a question for a math group, but you could start here for example).

            Happy filtering!

            Source https://stackoverflow.com/questions/67840732

            QUESTION

            Change font color in shiny dashboard titlePanel
            Asked 2021-Jun-10 at 20:42

            I'm trying to make the title of my dashboard in red, but when I try to pass the style argument in my titlePanel, I get an error that the argument is unused. What am I doing wrong?

            ...

            ANSWER

            Answered 2021-Jun-10 at 20:42

            Wrap it in a div as

            titlePanel(div("Old Faithful Geyser Data", style = "color: #FF0000"))

            Source https://stackoverflow.com/questions/67927999

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install histogram

            You can download it from GitHub.
            On a UNIX-like operating system, using your system’s package manager is easiest. However, the packaged Ruby version may not be the newest one. There is also an installer for Windows. Managers help you to switch between multiple Ruby versions on your system. Installers can be used to install a specific or multiple Ruby versions. Please refer ruby-lang.org for more information.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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            gh repo clone jtprince/histogram

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