Version 0.8 (july 2017) changed this behaviour. From https://seaborn.pydata.org/whatsnew.html#v0-8-0-july-2017: 

&gt;  The default (seaborn) style is no longer applied when seaborn is
&gt; imported. It is now necessary to explicitly call set() or one or more
&gt; of set_style(), set_context(), and set_palette(). Correspondingly, the
&gt; seaborn.apionly module has been deprecated.

For older versions, Import seaborn like this:

    import seaborn.apionly as sns

and then you should be able to use `sns.distplot` but maintain the default matplotlib styling + your personal rc configuration.



According to documentation [`reset_orig`][1]  restore all RC params to original settings:

    import seaborn as sns
    # reset RC params to original
    sns.reset_orig()


  [1]: http://seaborn.pydata.org/generated/seaborn.reset_orig.html

I am new to Webstorm 8. I have webstorm 8 installed on Ubuntu 14.04 LTS.

I am trying to edit a file but I am getting a popup, with heading &quot;Clear read only status&quot;, which shows file and two radio button

 - Using File System
 - Using version control integration

When I select Using File system and click OK, nothing happens, and it doesn&#39;t allow to select Second option.

I am using git as my dcvs.

Please guide me on how I can remove this read only status from that file.

Thanks in advance.

Getting Clear read only status on Webstorm 8

I&#39;m building a inventory management system and I&#39;m busy designing (thinking) of the API and my REST implementation.

I have the following resources and on the resource you can perform many actions/operations.
Each operation will modify the resource and in some cases create a new resource and also create history or transactions.

I&#39;m looking for some input from experts in regards to useability and acceptability in regards to URL and resource design. The gotchas and real world examples, any opinion or criticism welcome.

My concerns are that the whole application might be develop around this one big resource?
My backend stack will be C# and servicestack framework and for frontend I&#39;ll be using HTML and AngularJS. Not that it makes a difference. 

Scenario 1.
Typical operation will be:

    POST /inventory/{id}/move
    POST /inventory/{id}/scrap
    PUT  /inventory/{id}/takeon
    POST /inventory/{id}/pick
    PUT  /inventory/{id}/receive
    POST /inventory/{id}/hold
    POST /inventory/{id}/release
    POST /inventory/{id}/transfer
    POST /inventory/{id}/return
    POST /inventory/{id}/adjustment


    {
      &quot;userID&quot;: &quot;&quot;,       //who is doing the actions (all)
      &quot;tolocationID&quot;: &quot;&quot;, //new location for inventory (move/takeon/pick/receive/transfer/return)
      &quot;qty&quot;: &quot;&quot;,          //qty (pick/receive/takeon/transfer/return)
      &quot;comment&quot;: &quot;&quot;,      //optional for transaction (all)
      &quot;serial&quot;: &quot;&quot;,       //(takeon/receive)
      &quot;batch&quot;: &quot;&quot;,        //(takeon/receive)
      &quot;expirydate&quot;: &quot;&quot;,   //(takeon/receive)
      &quot;itemCode&quot;: &quot;&quot;,     //(takeon/receive)
      &quot;documentID&quot;: &quot;&quot;,   //(pick/receive/return/transfer)
      &quot;reference&quot; :&quot;&quot;,    //(all)
      &quot;UOM&quot; :&quot;&quot;,          //(all)
      &quot;reference&quot; :&quot;&quot;,    //(all)
    }


Is this acceptable in regards to standards.
The other approach might be.

Scenario 2.

    POST /inventory/{id}/move
    POST /inventory/{id}/scrap
    PUT  /inventory/{id}/takeon
    POST /document/{id}/pick     //**document**
    PUT  /document/{id}/receive  //**document**
    POST /inventory/{id}/hold
    POST /inventory/{id}/release
    POST /document/{id}/transfer  //**document**
    POST /document/{id}/return    //**document**
    POST /inventory/{id}/adjustment

and then to change the resources.

Scenario 3. in my opinion wrong

    POST /transaction/move/{...}
    POST /transaction/scrap/{...}
    PUT  /transaction/takeon/{...}
    POST /transaction/pick/{...}  
    PUT  /transaction/receive/{...} 
    POST /transaction/hold/{...}
    POST /transaction/release/{...}
    POST /transaction/transfer/{...}  
    POST /transaction/return/{...}
    POST /transaction/adjustment/{...}
   

Any comments welcome, not looking for answer but more advice on design considerations? 

Thanks for taking the time reading this entry!

REST actions and URL API design considerations

I am trying to use seaborn, because of its distplot function. But I prefer the default matplotlib settings. When I import seaborn, it changes automatically the appearance of my figure.

How can I use seaborn functions without changing the look of the plots?

How can I use seaborn without changing the matplotlib defaults?

<p>I am trying to use seaborn, because of its distplot function. But I prefer the default matplotlib settings. When I import seaborn, it changes automatically the appearance of my figure.</p>
<p>How can I use seaborn functions without changing the look of the plots?</p>


I have a Python Spark program which I run with `spark-submit`. I want to put logging statements in it.

    logging.info(&quot;This is an informative message.&quot;)
    logging.debug(&quot;This is a debug message.&quot;)

I want to use the same logger that Spark is using so that the log messages come out in the same format and the level is controlled by the same configuration files. How do I do this?

I&#39;ve tried putting the `logging` statements in the code and starting out with a `logging.getLogger()`. In both cases I see Spark&#39;s log messages but not mine. I&#39;ve been looking at the [Python logging documentation][1], but haven&#39;t been able to figure it out from there.

Not sure if this is something specific to scripts submitted to Spark or just me not understanding how logging works.


  [1]: https://docs.python.org/2/library/logging.html

How do I log from my Python Spark script

If you have a [Colormap](https://matplotlib.org/stable/tutorials/colors/colormaps.html) `cmap`, for example:

    cmap = matplotlib.cm.get_cmap(&#39;Spectral&#39;)

How can you get a particular colour out of it between 0 and 1, where 0 is the first colour in the map and 1 is the last colour in the map?

Ideally, I would be able to get the middle colour in the map by doing:

    &gt;&gt;&gt; do_some_magic(cmap, 0.5) # Return an RGBA tuple
    (0.1, 0.2, 0.3, 1.0)

Getting individual colors from a color map in matplotlib

I&#39;m currently building a role for installing PHP using ansible, and I&#39;m having some difficulty merging dictionaries. I&#39;ve tried several ways to do so, but I can&#39;t get it to work like I want it to:

    # A vars file:
    my_default_values:
      key = value

    my_values:
      my_key = my_value

 
    # In a playbook, I create a task to attempt merging the
    # two dictionaries (which doesn&#39;t work):

    - debug: msg=&quot;{{ item.key }} = {{ item.value }}&quot;
      with_dict: my_default_values + my_values

    # I have also tried:

    - debug: msg=&quot;{{ item.key }} = {{ item.value }}&quot;
      with_dict: my_default_values|union(my_values)

    # I have /some/ success with using j2&#39;s update,
    # but you can&#39;t use j2 syntax in &quot;with_dict&quot;, it appears.
    # This works:

    - debug: msg=&quot;{{ my_default_values.update(my_values) }}&quot;

    # But this doesn&#39;t:

    - debug: msg=&quot;{{ item.key }} = {{ item.value }}&quot;
      with_dict: my_default_values.update(my_values)


Is there a way to merge two dictionaries, so I can use it with &quot;with_dict&quot;?

merging dictionaries in ansible

I have a df like so:

    import pandas
    a=[[&#39;1/2/2014&#39;, &#39;a&#39;, &#39;6&#39;, &#39;z1&#39;], 
       [&#39;1/2/2014&#39;, &#39;a&#39;, &#39;3&#39;, &#39;z1&#39;], 
       [&#39;1/3/2014&#39;, &#39;c&#39;, &#39;1&#39;, &#39;x3&#39;],
       ]
    df = pandas.DataFrame.from_records(a[1:],columns=a[0])

I want to flatten the df so it is one continuous list like so:

`[&#39;1/2/2014&#39;, &#39;a&#39;, &#39;6&#39;, &#39;z1&#39;, &#39;1/2/2014&#39;, &#39;a&#39;, &#39;3&#39;, &#39;z1&#39;,&#39;1/3/2014&#39;, &#39;c&#39;, &#39;1&#39;, &#39;x3&#39;]`

I can loop through the rows and `extend` to a list, but is a much easier way to do it?

python pandas flatten a dataframe to a list

When I try to use a `print` statement in Python, it gives me this error:


    &gt;&gt;&gt; print &quot;Hello, World!&quot;
      File &quot;&lt;stdin&gt;&quot;, line 1
        print &quot;Hello, World!&quot;
                            ^
    SyntaxError: Missing parentheses in call to &#39;print&#39;

What does that mean?


What does &quot;SyntaxError: Missing parentheses in call to &#39;print&#39;&quot; mean in Python?

I&#39;m loading a TIF file with scikit-image and displaying it inline in an ipython notebook  (version 2.2.0). This works, however, the image is quite small when first displayed, and when I resize it using the draggable handle on the bottom right of the image, it just rescales the image while retaining the resolution of the original, so it&#39;s very blurry when enlarged. It&#39;s basically as if ipython is converting my image into a thumbnail on the fly.

I&#39;ve tried using matplotlib&#39;s `plt.imshow()` as well, which has the exact same result. I&#39;m starting the notebook with `ipython notebook --pylab inline`.

    from skimage import io
    import matplotlib.pyplot as plt
    image_stack = io.MultiImage(&quot;my_image.tif&quot;)
    image = image_stack[0]  # it&#39;s a multi-page TIF, this gets the first image in the stack
    
    io.imshow(image)  # or plt.imshow(image)
    io.show()  # or plt.show()

inline images have low quality

I was looking for a way to annotate my bars in a Pandas bar plot with the rounded numerical values from my DataFrame.

    &gt;&gt;&gt; df=pd.DataFrame({&#39;A&#39;:np.random.rand(2),&#39;B&#39;:np.random.rand(2)},index=[&#39;value1&#39;,&#39;value2&#39;] )         
    &gt;&gt;&gt; df
                     A         B
      value1  0.440922  0.911800
      value2  0.588242  0.797366

I would like to get something like this:

![bar plot annotation example][1]

I tried with this code sample, but the annotations are all centered on the x ticks:

    &gt;&gt;&gt; ax = df.plot(kind=&#39;bar&#39;) 
    &gt;&gt;&gt; for idx, label in enumerate(list(df.index)): 
            for acc in df.columns:
                value = np.round(df.ix[idx][acc],decimals=2)
                ax.annotate(value,
                            (idx, value),
                             xytext=(0, 15), 
                             textcoords=&#39;offset points&#39;)

  [1]: http://i.stack.imgur.com/aJ7dS.png

Annotate bars with values on Pandas bar plots

When plotting a plot using matplotlib:

 1. How to remove the box of the legend? 
 2. How to change the color of the border of the legend box?
 3. How to remove only the border of the box of the legend?

 

Remove or adapt border of frame of legend using matplotlib

When I try to upgrade my matplotlib using pip, it outputs:

&lt;!-- language: lang-none --&gt;

    Downloading/unpacking matplotlib from https://pypi.python.org/packages/source/m/matplotlib/matplotlib-1.4.0.tar.gz#md5=1daf7f2123d94745feac1a30b210940c
      Downloading matplotlib-1.4.0.tar.gz (51.2MB): 51.2MB downloaded
      Running setup.py (path:/tmp/pip_build_root/matplotlib/setup.py) egg_info for package matplotlib
        ============================================================================
        Edit setup.cfg to change the build options

        BUILDING MATPLOTLIB
                    matplotlib: yes [1.4.0]
                        python: yes [2.7.6 (default, Mar 22 2014, 22:59:38)  [GCC
                                4.8.2]]
                      platform: yes [linux2]

        REQUIRED DEPENDENCIES AND EXTENSIONS
                         numpy: yes [version 1.8.2]
                           six: yes [using six version 1.7.3]
                      dateutil: yes [using dateutil version 2.2]
                       tornado: yes [using tornado version 4.0.1]
                     pyparsing: yes [using pyparsing version 2.0.2]
                         pycxx: yes [Couldn&#39;t import.  Using local copy.]
                        libagg: yes [pkg-config information for &#39;libagg&#39; could not
                                be found. Using local copy.]
        Traceback (most recent call last):
          File &quot;&lt;string&gt;&quot;, line 17, in &lt;module&gt;
          File &quot;/tmp/pip_build_root/matplotlib/setup.py&quot;, line 154, in &lt;module&gt;
            result = package.check()
          File &quot;setupext.py&quot;, line 940, in check
            if &#39;No such file or directory\ngrep:&#39; in version:
        TypeError: argument of type &#39;NoneType&#39; is not iterable
        Complete output from command python setup.py egg_info:
        ============================================================================

    Edit setup.cfg to change the build options



    BUILDING MATPLOTLIB

                matplotlib: yes [1.4.0]

                    python: yes [2.7.6 (default, Mar 22 2014, 22:59:38)  [GCC

                            4.8.2]]

                  platform: yes [linux2]



    REQUIRED DEPENDENCIES AND EXTENSIONS

                     numpy: yes [version 1.8.2]

                       six: yes [using six version 1.7.3]

                  dateutil: yes [using dateutil version 2.2]

                   tornado: yes [using tornado version 4.0.1]

                 pyparsing: yes [using pyparsing version 2.0.2]

                     pycxx: yes [Couldn&#39;t import.  Using local copy.]

                    libagg: yes [pkg-config information for &#39;libagg&#39; could not

                            be found. Using local copy.]

    Traceback (most recent call last):

      File &quot;&lt;string&gt;&quot;, line 17, in &lt;module&gt;

      File &quot;/tmp/pip_build_root/matplotlib/setup.py&quot;, line 154, in &lt;module&gt;

        result = package.check()

      File &quot;setupext.py&quot;, line 940, in check

        if &#39;No such file or directory\ngrep:&#39; in version:

    TypeError: argument of type &#39;NoneType&#39; is not iterable

    ----------------------------------------
    Cleaning up...
    Command python setup.py egg_info failed with error code 1 in /tmp/pip_build_root/matplotlib
    Storing debug log for failure in /home/username/.pip/pip.log

In the tail of the log it says:

    Exception information:
    Traceback (most recent call last):
      File &quot;/usr/local/lib/python2.7/dist-packages/pip-1.5.6-py2.7.egg/pip/basecommand.py&quot;, line 122, in main
        status = self.run(options, args)
      File &quot;/usr/local/lib/python2.7/dist-packages/pip-1.5.6-py2.7.egg/pip/commands/install.py&quot;, line 278, in run
        requirement_set.prepare_files(finder, force_root_egg_info=self.bundle, bundle=self.bundle)
      File &quot;/usr/local/lib/python2.7/dist-packages/pip-1.5.6-py2.7.egg/pip/req.py&quot;, line 1229, in prepare_files
        req_to_install.run_egg_info()
      File &quot;/usr/local/lib/python2.7/dist-packages/pip-1.5.6-py2.7.egg/pip/req.py&quot;, line 325, in run_egg_info
        command_desc=&#39;python setup.py egg_info&#39;)
      File &quot;/usr/local/lib/python2.7/dist-packages/pip-1.5.6-py2.7.egg/pip/util.py&quot;, line 697, in call_subprocess
        % (command_desc, proc.returncode, cwd))
    InstallationError: Command python setup.py egg_info failed with error code 1 in /tmp/pip_build_root/matplotlib

Why did it fail? 
Many thanks!


ubuntu 14.04, pip cannot upgrade matplotllib

I have this data frame `diamonds` which is composed of variables like `(carat, price, color)`, and I want to draw a scatter plot of `price` to `carat` for each `color`, which means different `color` has different color in the plot.

This is easy in `R` with `ggplot`:

    ggplot(aes(x=carat, y=price, color=color),  #by setting color=color, ggplot automatically draw in different colors
           data=diamonds) + geom_point(stat=&#39;summary&#39;, fun.y=median)

![enter image description here][1]

I wonder how could this be done in Python using `matplotlib` ?

PS:

I know about auxiliary plotting packages, such as `seaborn` and `ggplot for python`, and I don&#39;t prefer them, just want to find out if it is possible to do the job using `matplotlib` alone, ;P


  [1]: http://i.stack.imgur.com/HW43K.png

plot different color for different categorical levels using matplotlib

    %pylab inline
    
    import pandas as pd
    import numpy as np
    import matplotlib as mpl
    import seaborn as sns
    
    typessns = pd.DataFrame.from_csv(&#39;C:/data/testesns.csv&#39;, index_col=False, sep=&#39;;&#39;)
    
    mpl.rc(&quot;figure&quot;, figsize=(45, 10))
    sns.factorplot(&quot;MONTH&quot;, &quot;VALUE&quot;, hue=&quot;REGION&quot;, data=typessns, kind=&quot;box&quot;, palette=&quot;OrRd&quot;);


![enter image description here][1]

I always get a small size figure, no matter what size I &#39;ve specified in figsize...
How to fix it?


  [1]: http://i.stack.imgur.com/yQuim.png

How to change figuresize using seaborn factorplot

I have a simple factorplot

    import seaborn as sns
    g = sns.factorplot(&quot;name&quot;, &quot;miss_ratio&quot;, &quot;policy&quot;, dodge=.2, 
        linestyles=[&quot;none&quot;, &quot;none&quot;, &quot;none&quot;, &quot;none&quot;], data=df[df[&quot;level&quot;] == 2])


![enter image description here][1]

  [1]: http://i.stack.imgur.com/gg7aD.png

The problem is that the x labels all run together, making them unreadable. How do you rotate the text so that the labels are readable?

Rotate label text in seaborn factorplot

I&#39;m sure I&#39;m forgetting something very simple, but I cannot get certain plots to work with Seaborn. 

If I do:

    import seaborn as sns

Then any plots that I create as usual with matplotlib get the Seaborn styling (with the grey grid in the background).

However, if I try to do one of the examples, such as:

    In [1]: import seaborn as sns
    
    In [2]: sns.set()
    
    In [3]: df = sns.load_dataset(&#39;iris&#39;)
    
    In [4]: sns.pairplot(df, hue=&#39;species&#39;, size=2.5)
    Out[4]: &lt;seaborn.axisgrid.PairGrid at 0x3e59150&gt;

The pairplot function returns a PairGrid object, but the plot doesn&#39;t show up. 

I&#39;m a little confused because matplotlib seems to be functioning properly, and the Seaborn styles are applied to other matplotlib plots, but the Seaborn functions don&#39;t seem to do anything. Does anybody have any idea what might be the problem?

Seaborn plots not showing up

I&#39;m using seaborn version o.4 and matplotlib version 1.42
I have a chart displays both line and marker through simple plot command eg.

    plt.plot([1,5,3,8,4],&#39;-bo&#39;);
![before_seaborn](c:/temp/before_seaborn.png)
Due to a potential bug (https://github.com/mwaskom/seaborn/issues/344), after import seaborn, same code shows line only without marker.

    import seaborn as sb 
    plt.plot([1,5,3,8,4],&#39;-bo&#39;);
![after_seaborn.png](c:/temp/after_seaborn.png)

So my question is: after import seaborn, Is there a way to reset all the parameters back to original?

Content Type	Original Author	Original Content on Stackoverflow
Question	Hello lad	View Question on Stackoverflow
Solution 1 - Python	mwaskom	View Answer on Stackoverflow
Solution 2 - Python	Serenity	View Answer on Stackoverflow

How can I use seaborn without changing the matplotlib defaults?

Python Problem Overview

Python Solutions

Solution 1 - Python

Solution 2 - Python

REST actions and URL API design considerations

Getting Clear read only status on Webstorm 8

Attributions