Click on &#39;Interrupt&#39; under &#39;Kernel&#39; in the toolbar. Pressing `I` twice will also do the trick.

Source - https://stackoverflow.com/questions/17561212/is-there-an-equivalent-to-ctrlc-in-ipython-notebook-in-firefox-to-break-cells-t/38229513#38229513

 1. You can follow &#39;Kernel&#39; --&gt; &#39;Interrupt&#39; in the menu bar at the top.
 2. Pressing &#39;I&#39; to the left of the cell also works. This only works if you&#39;re in command mode. If not already enabled, press Esc to enable it.
 3. If you are okay to lose variables,you might restart the session.
 

I am using python and plotly to product interactive html report. [This post][1] gives a nice framework.

If I produce the plot(via plotly) online, and insert the url into the html file, it works but refreshing the charts takes a long time. I wonder if I could produce the chart offline and have it embedded in the html report, so that loading speed is not a problem.

I find plot offline would generate a html for the chart, but I don&#39;t know how to embed it in another html. Anyone could help?


  [1]: http://moderndata.plot.ly/generate-html-reports-with-python-pandas-and-plotly/

python save plotly plot to local file and insert into html

How would I take a string, and convert it to `jsx`?  For example, if I bring in a string from a `textarea`, how could I convert it to a `React` element;

    var jsxString = document.getElementById(&#39;textarea&#39;).value;

What is the process I would use to convert this on the client?  Is it possible?

How do I convert a string to jsx?

I have trouble stopping a given kernel in an iPython notebook.

Many times the cell is stuck, and I need to restart the entire kernel.
The loop could be messy sometimes.

How can I stop the kernel?

How should I stop a busy cell in an iPython notebook?

I have trouble stopping a given kernel in an iPython notebook.
Many times the cell is stuck, and I need to restart the entire kernel.
The loop could be messy sometimes.
How can I stop the kernel?

I read the filenames in my S3 bucket by doing 

    objs = boto3.client.list_objects(Bucket=&#39;my_bucket&#39;)
        while &#39;Contents&#39; in objs.keys():
            objs_contents = objs[&#39;Contents&#39;]
            for i in range(len(objs_contents)):
                filename = objs_contents[i][&#39;Key&#39;]

Now, I need to get the actual content of the file, similarly to a `open(filename).readlines()`. What is the best way?

Read file content from S3 bucket with boto3

I&#39;m currently trying to use Seaborn to create plots for my academic papers. The plots look great and easy to generate, but one problem that I&#39;m having some trouble with is having the fine control on the font size in the plots. 

My font size in my paper is 9pt and I would like to make sure the font size in my plots are either 9pt or 10pt. But in seaborn, the font size is mainly controlled through font scale `sns.set_context(&quot;paper&quot;, font_scale=0.9)`. So it&#39;s hard for me to find the right font size except through trial and error. Is there a more efficient way to do this?

I also want to make sure the font size is consistent between different seaborn plots. But not all my seaborn plots have the same dimension, so it seems like using the *same font_scale* on all the plots does not necessarily create the same font size across these different plots?

I&#39;ve attached my code below. I appreciate any comments on how to format the plot for a two column academic paper. My goal is to be able to control the size of the figure without distorting the font size or the plot. I use Latex to write my paper. 

    # Seaborn setting                                                                                                                                              
    sns.set(style=&#39;whitegrid&#39;, rc={&quot;grid.linewidth&quot;: 0.1})
    sns.set_context(&quot;paper&quot;, font_scale=0.9)                                                  
    plt.figure(figsize=(3.1, 3)) # Two column paper. Each column is about 3.15 inch wide.                                                                                                                                                                                                                                 
    color = sns.color_palette(&quot;Set2&quot;, 6)

    # Create a box plot for my data                                                      
    splot = sns.boxplot(data=df, palette=color, whis=np.inf,                              
            width=0.5, linewidth = 0.7)

    # Labels and clean up on the plot                                                                                                                                                                                                                                                                                              
    splot.set_ylabel(&#39;Normalized WS&#39;)                                                     
    plt.xticks(rotation=90)                                                               
    plt.tight_layout()                                                                    
    splot.yaxis.grid(True, clip_on=False)                                                 
    sns.despine(left=True, bottom=True)                                                   
    plt.savefig(&#39;test.pdf&#39;, bbox_inches=&#39;tight&#39;)                                          

Fine control over the font size in Seaborn plots for academic papers

Given a pandas dataframe containing possible NaN values scattered here and there:

**Question:** How do I determine which columns contain NaN values? In particular, can I get a list of the column names containing NaNs?


How to find which columns contain any NaN value in Pandas dataframe

I know we use `enumerate` for iterating a list but I tried it on a dictionary and it didn&#39;t give an error.

CODE:

    enumm = {0: 1, 1: 2, 2: 3, 4: 4, 5: 5, 6: 6, 7: 7}
    
    for i, key in enumerate(enumm):
        print(i, key)

OUTPUT:

    0 0
    
    1 1
    
    2 2
    
    3 4
    
    4 5
    
    5 6
    
    6 7

Can someone please explain the output?


enumerate() for dictionary in Python

I have a script named `requests.py` that imports the requests package.  The script either can&#39;t access attributes from the package, or can&#39;t import them.  Why isn&#39;t this working and how do I fix it?

The following code raises an `AttributeError`.

    import requests
    
    res = requests.get(&#39;http://www.google.ca&#39;)
    print(res)

```none
Traceback (most recent call last):
  File &quot;/Users/me/dev/rough/requests.py&quot;, line 1, in &lt;module&gt;
    import requests
  File &quot;/Users/me/dev/rough/requests.py&quot;, line 3, in &lt;module&gt;
    requests.get(&#39;http://www.google.ca&#39;)
AttributeError: module &#39;requests&#39; has no attribute &#39;get&#39;
```
The following code raises an `ImportError`.

    from requests import get
    
    res = get(&#39;http://www.google.ca&#39;)
    print(res)

```none
Traceback (most recent call last):
  File &quot;requests.py&quot;, line 1, in &lt;module&gt;
    from requests import get
  File &quot;/Users/me/dev/rough/requests.py&quot;, line 1, in &lt;module&gt;
    from requests import get
ImportError: cannot import name &#39;get&#39;
```
Or code that imports from a module inside the `requests` package:

    from requests.auth import AuthBase
    
```none
Traceback (most recent call last):
  File &quot;requests.py&quot;, line 1, in &lt;module&gt;
    from requests.auth import AuthBase
  File &quot;/Users/me/dev/rough/requests.py&quot;, line 1, in &lt;module&gt;
    from requests.auth import AuthBase
ImportError: No module named &#39;requests.auth&#39;; &#39;requests&#39; is not a package
```

Importing installed package from script raises &quot;AttributeError: module has no attribute&quot; or &quot;ImportError: cannot import name&quot;

I want to write a report for classes in Jupyter notebook. I&#39;d like to count some stuff, generate some results and include them in markdown. Can I set the output of the cell to be interpreted as markdown?  
I&#39;d like such command: `print &#39;$\phi$&#39;` to generate phi symbol, just like in markdown.  
In other words, I&#39;d like to have a template made in markdown and insert the values generated by the program written in the notebook. Recalculating the notebook should generate new results and new markdown with those new values inserted. Is that possible with this software, or do I need to replace the values by myself?

How to programmatically generate markdown output in Jupyter notebooks?

As the title says: I&#39;m checking a Jupyter notebook into a GitHub repo, should I store the `.ipynb_checkpoints` folder in GitHub too, or are they best `.gitignore`d and kept locally?

I&#39;m not really sure what they are for, so I don&#39;t know whether to include them or not. 

Should ipynb checkpoints be stored in Git?

I created a table with an interactive slider that allows me to toggle between different periods on my table. It was working for the past few days, until today, when I re-ran the notebook, the slide bar doesn&#39;t show anymore. No error messages appear. The code seem to run just fine, as the table appears, but the slide bar just doesn&#39;t appear. I didn&#39;t change my code either, as I was working on a separate part of my notebook. 

I tried many approaches, including searching in this space but was still unable to come up with a solution. I was wondering if anyone faced a similar issue, and have any solution to this.

Below is my code snippet. Anything before was solely to get my data into the desired form for tabulation. 

    from IPython.display import display
    from ipywidgets import widgets, interactive
    v = interactive(by_q, quarter=([&#39;q1y2015&#39;, &#39;q2y2015&#39;, &#39;q3y2015&#39;, &#39;q4y2015&#39;]), days=(1, 180))
    display(v)


IPython Notebook ipywidgets does not show

I have made my plots inline on my Ipython Notebook with &quot;`%matplotlib inline`.&quot;

Now, the plot appears.  However, it is very small.  Is there a way to make it appear larger using either notebook settings or plot settings?

[![enter image description here][1]][1]


  [1]: http://i.stack.imgur.com/TiQum.png

How to make inline plots in Jupyter Notebook larger?

I am using jupyter-notebooks for python coding. Is there a way to wrap text/code in a jupyter notebook code cell?  

Picture provided below.

[![Text not wrapping][1]][1]


  [1]: http://i.stack.imgur.com/0fUai.png

By wrap text means &quot;how text is wrapped in MS-word&quot;

Content Type	Original Author	Original Content on Stackoverflow
Question	aviyaron	View Question on Stackoverflow
Solution 1 - Python	Ashish Tyagi	View Answer on Stackoverflow
Solution 2 - Python	sai_varshittha	View Answer on Stackoverflow

How should I stop a busy cell in an iPython notebook?

Python Problem Overview

Python Solutions

Solution 1 - Python

Solution 2 - Python

How do I convert a string to jsx?

python save plotly plot to local file and insert into html

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