ipython-notebooks | A collection of IPython notebooks covering various topics | Data Visualization library

by jdwittenauer Jupyter Notebook Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(5)Vulnerabilities Install Support

kandi X-RAY | ipython-notebooks Summary

ipython-notebooks is a Jupyter Notebook library typically used in Analytics, Data Visualization, Jupyter applications. ipython-notebooks has no bugs, it has no vulnerabilities and it has medium support. You can download it from GitHub.

A collection of IPython notebooks covering various topics.

Support

Quality

Security

License

Reuse

Support

ipython-notebooks has a medium active ecosystem.

It has 2594 star(s) with 1530 fork(s). There are 177 watchers for this library.

It had no major release in the last 6 months.

There are 6 open issues and 9 have been closed. On average issues are closed in 285 days. There are 3 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of ipython-notebooks is current.

Quality

ipython-notebooks has 0 bugs and 0 code smells.

Security

ipython-notebooks has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

ipython-notebooks code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

ipython-notebooks does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

ipython-notebooks releases are not available. You will need to build from source code and install.

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ipython-notebooks Key Features

No Key Features are available at this moment for ipython-notebooks.

ipython-notebooks Examples and Code Snippets

No Code Snippets are available at this moment for ipython-notebooks.

Community Discussions

Trending Discussions on ipython-notebooks

nbviewer 400: Bad Request, Error reading JSON notebook

Plot graph with vertical labels on the x-axis Matplotlib

R: Plotting "staircases" using ggplot2/plotly

Convert Firefox bookmarks JSON file to markdown

Visualizing time series data of graph nodes in plotly

QUESTION

nbviewer 400: Bad Request, Error reading JSON notebook

Asked 2021-Sep-13 at 05:45

I am trying to render my jupyter notebook on nbviewer so I can share it with people. (The github render is not proper as you can see on the github link).

But trying to do so returns this error:

400 : Bad Request

Error reading JSON notebook

I already tried the answers on here, they don't seem to change anything. Help would be greatly appreciated.

...

ANSWER

Answered 2021-Sep-13 at 05:45

The situation has somehow resolved itself. Adding this here in case someone faces the same problem, maybe just try waiting.

Source https://stackoverflow.com/questions/69152425

QUESTION

Plot graph with vertical labels on the x-axis Matplotlib

Asked 2021-Jun-04 at 06:30

To continue my research on how to plot a xml file and continue checking my code, I first applied a division to signal.attrib ["Value"], since it shows some string values and what I'm interested in is the numeric values.

And as you can see below, I relied on the documentation for Pandas and SQL Compare.

...

ANSWER

Answered 2021-Jun-03 at 15:25

Yes you can, with xticks().

Source https://stackoverflow.com/questions/67823936

QUESTION

R: Plotting "staircases" using ggplot2/plotly

Asked 2020-Dec-25 at 23:39

I am using the R programming language. I am trying to follow this tutorial over here: https://rviews.rstudio.com/2017/09/25/survival-analysis-with-r/ (bottom of the page).

I have slightly modified the code for this tutorial and have plotted the "staircases" (i.e. "survival functions", in the below picture "red", "blue", "green") corresponding to 3 of the observations in the data:

...

ANSWER

Answered 2020-Dec-25 at 23:39

The issue is that when you draw a plot in base graphics draw directly on a device. The line of your code grob= plot(r_fit$unique.death.times, pred[1,], type = "l", col = "red") creates a NULL object (unlike ggplot which would return a plot object).

You can make the plot directly in ggplot (there are a few ways of doing this but I've done a simple example bolow) and convert it with ggplotly:

Source https://stackoverflow.com/questions/65446162

QUESTION

Convert Firefox bookmarks JSON file to markdown

Asked 2020-Dec-08 at 16:10

Background

I want to show part of my bookmarks on my Hugo website. The bookmarks from Firefox can be saved in JSON format, this is the source. The result should represent the nested structure somehow, in a format of a nested list, treeview or accordion. The source files of contents on the website are written in markdown. I want to generate a markdown file from the JSON input.

As I searched for possible solutions:

treeview or accordion: HTML, CSS and Javascript needed. I could not nest accordions with the tag. Also, seems like overkill at the moment.
unordered list: can be done with bare markdown.

I chose to generate an unordered nested list from JSON. I would like to do this with R.

Input/output

Input sample: https://gist.github.com/hermanp/c01365b8f4931ea7ff9d1aee1cbbc391

Preferred output (indentation with two spaces):

...

ANSWER

Answered 2020-Dec-08 at 16:10

After I watched a few videos on recursion and saw a few code examples, I tried, manually stepped through the code and somehow managed to do it with recursion. This solution is independent on the nestedness of the bookmarks, therefore a generalized solution for everyone.

Note: all the bookmarks were in the Bookmarks Toolbar in Firefox. This is highlighted in the generate_md function. You can tackle with it there. If I improve the answer later, I will make it more general.

Source https://stackoverflow.com/questions/65111588

QUESTION

Visualizing time series data of graph nodes in plotly

Asked 2020-Mar-21 at 21:51

I've a graph created in Networkx and plotted using plotly

Code:

...

ANSWER

Answered 2020-Mar-21 at 21:51

Write post_script which is Javascript code that will be added in the resulting div after it's created.

In post_script,

add an event listener for plotly_click event
check if clicked point is a marker
toggle visible property of corresponding scatter plot from true to 'legendonly'

Source https://stackoverflow.com/questions/60596968

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

Vulnerabilities

No vulnerabilities reported

Install ipython-notebooks

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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