jupyter | a golang http lib -

 by   Qingluan Go Version: Current License: Non-SPDX

kandi X-RAY | jupyter Summary

kandi X-RAY | jupyter Summary

jupyter is a Go library. jupyter has no bugs, it has no vulnerabilities and it has low support. However jupyter has a Non-SPDX License. You can download it from GitHub.

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            kandi-support Support

              jupyter has a low active ecosystem.
              It has 7 star(s) with 3 fork(s). There are 1 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              jupyter has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of jupyter is current.

            kandi-Quality Quality

              jupyter has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              jupyter 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

              jupyter releases are not available. You will need to build from source code and install.

            Top functions reviewed by kandi - BETA

            kandi has reviewed jupyter and discovered the below as its top functions. This is intended to give you an instant insight into jupyter implemented functionality, and help decide if they suit your requirements.
            • Filter the title and link weight .
            • ReadConf reads configuration from file
            • Done fetches the robots from the robot .
            • NewArticle creates a new Article
            • Get gets a GET request
            • FindMostMayDate finds the most date from the raw string
            • NewConsoleBar returns a new ConsoleBar
            • Main page .
            • max returns the largest of a and b .
            • Construct a new UrlSim from urlstr
            Get all kandi verified functions for this library.

            jupyter Key Features

            No Key Features are available at this moment for jupyter.

            jupyter Examples and Code Snippets

            Plot a Jupyter model .
            pythondot img1Lines of Code : 70dot img1License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            def plot_model(model,
                           to_file='model.png',
                           show_shapes=False,
                           show_dtype=False,
                           show_layer_names=True,
                           rankdir='TB',
                           expand_nested=False,
                           dpi=96)  

            Community Discussions

            QUESTION

            Why is this Julia snippet so much slower than the Python equivalent? (with dictionaries)
            Asked 2021-Jun-15 at 03:46

            I have the following code in Python Jupyter:

            ...

            ANSWER

            Answered 2021-Jun-14 at 18:48

            Since you are benchmarking in a top-level scope you have to interpolate variables in @btime with $ so the way to benchmark your code is:

            Source https://stackoverflow.com/questions/67975102

            QUESTION

            How to relabel a category based on value_counts and then plot the data
            Asked 2021-Jun-13 at 23:42

            I've got a Dataframe with around 16000 entries and 12 columns. I've (hopefully) already removed duplicates and Nan values. I want to visualise the number of occurrences in the column 'brand' in a Pie chart with Pandas. But every Brand which occurs less than 20 times should be grouped together and be named 'Freie Tankstellen'.

            I've gotten to: df_stations['brand'].value_counts().to_frame()< 20

            But i don't know how to proceed, thank you in advance!

            My Dataframe

            elias_lay_u_schisslbauer_simon2021-06-12_11-57 - Jupyter Notebook

            ...

            ANSWER

            Answered 2021-Jun-13 at 22:50
            1. Use df.brand.value_counts() to add a 'total_count' column to the df using .merge.
            2. Use Boolean indexing to rename any 'brand' with a 'total_count' less than, .lt, 20.
            3. Get the new .value_counts for 'brand', and plot a horizontal bar using pandas.DataFrame.plot with kind='barh'. If there aren't many brands, use kind='bar' and change figsize. kind='pie' can be used, but, while I like pi, and pieces of pie, I do not like, or recommend pie charts.
              • The main purpose of using a pie chart, rather than a bar graph, is to visually indicate that a set of values are fractions or percentages that add up to a whole. This message comes at a considerable cost: Comparing values is more difficult with a pie chart than with a bar chart because is harder for the viewer to compare the angles subtended by two arcs than to compare the height for two bars. - Bergstrom, Carl T.; West, Jevin D.. Calling Bullshit (p. 179). Random House Publishing Group. Kindle Edition.
            • Using pandas v1.2.4 and matplotlib v3.4.2

            Source https://stackoverflow.com/questions/67962118

            QUESTION

            Hide “Requirement already satisfied” warning from pip in Windows cmd
            Asked 2021-Jun-13 at 08:01

            This question is similar to: Hide "Requirement already satisfied" warning but I want to have solution working in Windows cmd.

            I have a cmd script that automatically prepares virtual environment. Part of the script installs requirements:

            ...

            ANSWER

            Answered 2021-Jun-13 at 08:01

            This shows only messages without Requirement already satisfied:

            Source https://stackoverflow.com/questions/67953925

            QUESTION

            Not importing pandas from a function
            Asked 2021-Jun-12 at 10:34

            The error is shown in the image.

            It is shown that the cells have been executed consecutively. Where is the error?

            If I call pandas directly it functions ok.

            ...

            ANSWER

            Answered 2021-Jun-12 at 10:34

            You imported pandas in a function which is sent to garbage when function is over.

            Try importing outside the function

            Source https://stackoverflow.com/questions/67947934

            QUESTION

            sklearn's yeo-johnson PowerTransformer throws "ValueError: Input contains infinity" when data has no large/inf/nan values
            Asked 2021-Jun-12 at 09:42

            Yeo-Johnson method in PowerTransformer in sklearn (0.21.3; python 3.6) throws an error

            ...

            ANSWER

            Answered 2021-Jun-12 at 09:42

            This is not a bug but because of the internals of PowerTransformer. Have a look at these lines of your error stack trace:

            Source https://stackoverflow.com/questions/67943060

            QUESTION

            RDKit not drawing Chlorin
            Asked 2021-Jun-12 at 05:23

            I'm working with this molecule found in the the pdb database. https://pubchem.ncbi.nlm.nih.gov/compound/65106

            When I go to use the MoltoSMILES module, I'm not getting anything in return, or it seems to inconsistent. Here is my code I use in Jupyter Notebook. Another issue I'm having is minor, but I'd like to use Spyder. I notice the figure never draws in Spyder so I switched to Jupyter. Anyways, here is the code, and I'll show differnt SMILES formats I've either found of generated:

            ...

            ANSWER

            Answered 2021-Jun-12 at 05:23

            Let RDKit compute 2D coordinates and use the CoordGen library.

            Source https://stackoverflow.com/questions/67940125

            QUESTION

            How to combine different columns into one table in Python with Pandas
            Asked 2021-Jun-12 at 01:32

            I've collected some sensor-values for the Cloud(csv file) and noticed a problem which I think I can go around by combining different columns into one table. I have the following table:

            ...

            ANSWER

            Answered 2021-Jun-12 at 01:32

            At the moment you are using the notna() method which returns the mask of your column ('Ax'): Trues at values and Falses at NaNs. So then you can call:

            Source https://stackoverflow.com/questions/65625480

            QUESTION

            Jupyter notebooks automatically opens three brackets/parenthesis instead of two. How to disable this?
            Asked 2021-Jun-11 at 18:26

            I recently installed anaconda and am using jupyter notebooks to code. When opening a bracket - "(" in the editor, it automatically opens three like this - ((). Same with parenthesis. How can this be corrected/ disabled?

            print((""text")

            ...

            ANSWER

            Answered 2021-Jun-11 at 18:26

            Issue solved -- I was using a 3rd party keyboard app that lets me switch between English and my local language on Chrome. I disabled the extension and the issue solved itself.

            Source https://stackoverflow.com/questions/67935884

            QUESTION

            updating pandas-bokeh charts with additional elements
            Asked 2021-Jun-11 at 14:53

            I'm working in a Jupyter Notebook with pandas and pandas-bokeh.

            I can create a chart no problem, but when I want to add an element (like a Span), I can't figure out how to avoid getting a second copy of the chart displayed in the notebook.

            Is there a way to any of these:

            • Delay drawing the figure until I'm ready to show() it?
            • Update the existing figure in place?
            • Delete the existing figure before drawing the second figure?

            This code demonstrates the issue:

            ...

            ANSWER

            Answered 2021-Jun-11 at 14:53

            Found the answer in the docs (imagine that).

            Had to add the option show_figure=False to the figure creation line to prevent it from being shown on figure creation:

            Source https://stackoverflow.com/questions/67938730

            QUESTION

            Completion in IPython (jupyter) does now work (unexpected keyword argument 'column')
            Asked 2021-Jun-11 at 11:40

            I'm using jupyter notebook, and it works fine, but when I press TAB, the auto-completion doesn't work. I already checked all the similar cases in StackOverflow, but none of the solutions worked for me. I have also tried to do "pip upgrade" to: IPython, IPYKernel, Jedi, and Tornado, the upgrade works fine but the problem is still there. I tried in Firefox, Chrome and Edge. When I press TAB I can see those errors in the terminal:

            ...

            ANSWER

            Answered 2021-Feb-03 at 13:55

            I encontered the same issue some time ago with Jupyterlab when working locally on my machine with virtual environments.

            This is a problem with Jedi being too slow (or rather taking forever) to load the completion, what worked for me was to add the follwing line at the top of the notebook (for example where you typically do the imports):

            Source https://stackoverflow.com/questions/65843310

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

            Vulnerabilities

            No vulnerabilities reported

            Install jupyter

            You can download it from GitHub.

            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 Qingluan/jupyter

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