This figure from the documentation will answer your question:

[![enter image description here][1]][1]


You can find this image [here][2] (in the Matplotlib 1.x docs); it&#39;s actually been replaced in the Matplotlib 2.x docs.


  [1]: http://i.stack.imgur.com/HZWkV.png
  [2]: https://matplotlib.org/1.5.1/faq/usage_faq.html#parts-of-a-figure

Axis is the axis of the plot, the thing that gets ticks and tick labels. The axes is the area your plot appears in.

in the context of matplotlib,

axes is not the plural form of axis, it actually denotes the plotting area, including all axis.

So I can export only a table like this:

    mysqldump -u root -p db_name table_name &gt; table_name.sql

Is there any way to export only a portion of a table with mysqldump? For example, 0 - 1,000,000 rows, 1,000,000 - 2,000,000 rows, etc.

Should I do this with **mysqldump** or a query?

How to use mysqldump for a portion of a table?

I have download the Eclipse IDE for Java developer, HELIOS. I click &#39;File -&gt; New -&gt; Project...&#39;, but I only have &quot;General, CVS, Java project, Examples&quot;. I would like to be able to create &quot;dynamic web project&quot;, why do I not have this option?

I searched from internet, and the reason is probably I don&#39;t have Eclipse Web Development Tools, but how can I get it?

-----------EDIT-----------

I know by install Eclipse IDE for Java EE developer can solve the problem. **But**, I am working under **Linux Ubuntu**, how to get Eclipse Java EE version for **Ubuntu Linux** machine?

I don&#39;t have &quot;Dynamic Web Project&quot; option in Eclipse new Project wizard

I&#39;m confused about what the different between `axes` and `axis` is in matplotlib. Could someone please explain in an easy-to-understand way?

Difference between &quot;axes&quot; and &quot;axis&quot; in matplotlib?

<p>I'm confused about what the different between <code>axes</code> and <code>axis</code> is in matplotlib. Could someone please explain in an easy-to-understand way?</p>


I have a string that starts with a number (from 0-9)
I know I can &quot;or&quot; 10 test cases using startswith() but there is probably a neater solution

so instead of writing

    if (string.startswith(&#39;0&#39;) || string.startswith(&#39;2&#39;) ||
        string.startswith(&#39;3&#39;) || string.startswith(&#39;4&#39;) ||
        string.startswith(&#39;5&#39;) || string.startswith(&#39;6&#39;) ||
        string.startswith(&#39;7&#39;) || string.startswith(&#39;8&#39;) ||
        string.startswith(&#39;9&#39;)):
        #do something


Is there a cleverer/more efficient way?
      

How to tell if string starts with a number with Python?

I would like to define a `__version__` variable in my module which should be automatically updated on git commit similarly to what [SVN keywords][1] do. Is there a way to achieve it in Git? Does anyone have a working example?

I considered using [GitPython][2], but I would not like to introduce another dependency and I want users who download the module from SVN repo or as a zip package to have the same versioning scheme (I do not care that is some illegible hash).

Edit: My particular problem is that I have to run simulations whose result depend on the exact version of the simulation script. Therefore each time I have to store version number together with the simulation results. If both run out of sync, it may have very dire outcomes.


  [1]: https://stackoverflow.com/questions/1790235/adding-version-control-numbering-to-python-project
  [2]: http://gitorious.org/git-python

How can I rewrite python __version__ with git?

I want to do a data denormalization for better performance, and put a sum of votes my blog post receives inside Post model:

    class Post(models.Model):
        &quot;&quot;&quot; Blog entry &quot;&quot;&quot;
        author          = models.ForeignKey(User)
        title           = models.CharField(max_length=255)
        text            = models.TextField()
        rating          = models.IntegerField(default=0) # here is the sum of votes!
    
    class Vote(models.Model):
        &quot;&quot;&quot; Vote for blog entry &quot;&quot;&quot;
        post            = models.ForeignKey(Post)
        voter           = models.ForeignKey(User)
        value           = models.IntegerField()

Ofcourse, I need to keep `Post.rating` value actual. Nornally I would use database triggers for that, but now I&#39;ve decided to make a `post_save` signal (to reduce database process time):

    # vote was saved
    @receiver(post_save, sender=Vote)
    def update_post_votes(sender, instance, created, **kwargs):
        &quot;&quot;&quot; Update post rating &quot;&quot;&quot;
        if created:
            instance.post.rating += instance.value
            instance.post.save()
        else:
            # if vote was updated, we need to remove the old vote value and add the new one
            # but how...?

How can I access the instance value before it was saved? In database triggers, i would have `OLD` and `NEW` predefines for this, but is there something like this in post_save signals?

**UPDATE**

The solution based on Mark&#39;s the answer:

    # vote was saved
    @receiver(pre_save, sender=Vote)
    def update_post_votes_on_save(sender, instance, **kwargs):
        &quot;&quot;&quot; Update post rating &quot;&quot;&quot;
        # if vote is being updated, then we must remove previous value first
        if instance.id:
            old_vote = Vote.objects.get(pk=instance.id)
            instance.post.rating -= old_vote.value
        # now adding the new vote
        instance.post.rating += instance.value
        instance.post.save()



Django: How to access original (unmodified) instance in post_save signal

How could I go about finding the division remainder of a number in Python?

For example:  
If the number is 26 and divided number is 7, then the division remainder is 5.  
(since 7+7+7=21 and 26-21=5.)

Find the division remainder of a number

I&#39;m using Selenium2 for some automated tests of my website, and I&#39;d like to be able to get the return value of some Javascript code.  If I have a `foobar()` Javascript function in my webpage and I want to call that and get the return value into my Python code, what can I call to do that?

Getting the return value of Javascript code in Selenium

I&#39;m trying to create a plot using pyplot that has a discontinuous x-axis.  The usual way this is drawn is that the axis will have something like this:

(values)----//----(later values)

where the // indicates that you&#39;re skipping everything between (values) and (later values).

I haven&#39;t been able to find any examples of this, so I&#39;m wondering if it&#39;s even possible.  I know you can join data over a discontinuity for, eg, financial data, but I&#39;d like to make the jump in the axis more explicit.  At the moment I&#39;m just using subplots but I&#39;d really like to have everything end up on the same graph in the end.

Is there a way to make a discontinuous axis in Matplotlib?

I would like to get data from a single contour of evenly spaced 2D data (an image-like data).

Based on the example found in a similar question: https://stackoverflow.com/q/1560424/429795 

    &gt;&gt;&gt; import matplotlib.pyplot as plt
    &gt;&gt;&gt; x = [1,2,3,4]
    &gt;&gt;&gt; y = [1,2,3,4]
    &gt;&gt;&gt; m = [[15,14,13,12],[14,12,10,8],[13,10,7,4],[12,8,4,0]]
    &gt;&gt;&gt; cs = plt.contour(x,y,m, [9.5])
    &gt;&gt;&gt; cs.collections[0].get_paths()

The result of this call into `cs.collections[0].get_paths()` is:

    [Path([[ 4.          1.625     ]
     [ 3.25        2.        ]
     [ 3.          2.16666667]
     [ 2.16666667  3.        ]
     [ 2.          3.25      ]
     [ 1.625       4.        ]], None)]

Based on the plots, this result makes sense and appears to be collection of (y,x) pairs for the contour line.  

Other than manually looping over this return value, extracting the coordinates and assembling arrays for the line, are there better ways to get data back from a `matplotlib.path` object?  Are there pitfalls to be aware of when extracting data from a `matplotlib.path`?
 
Alternatively, are there alternatives within `matplotlib` or better yet `numpy`/`scipy` to do a similar thing?  Ideal thing would be to get a high resolution vector of (x,y) pairs describing the line, which could be used for further analysis, as in general my datasets are not a small or simple as the example above.


matplotlib - extracting data from contour lines

To add a legend to a matplotlib plot, one simply runs `legend()`.

How to **remove** a legend from a plot?

(The closest I came to this is to run `legend([])` in order to empty the legend from data. But that leaves an ugly white rectangle in the upper right corner.)

Remove the legend on a matplotlib figure

How can I set a figure window&#39;s title in pylab/python?

    fig = figure(9) # 9 is now the title of the window
    fig.set_title(&quot;Test&quot;) #doesn&#39;t work
    fig.title = &quot;Test&quot; #doesn&#39;t work

Change figure window title in pylab

I have got a problem (with my RAM) here: it&#39;s not able to hold the data I want to plot. I do have sufficient HD space. Is there any solution to avoid that &quot;shadowing&quot; of my data-set?

Concretely I deal with Digital Signal Processing and I have to use a high sample-rate. My framework (GNU Radio) saves the values (to avoid using too much disk space) in binary. I unpack it. Afterwards I need to plot. I need the plot zoomable, and interactive. And that is an issue. 

Is there any optimization potential to this, or another software/programming language (like R or so) which can handle larger data-sets? Actually I want much more data in my plots. But I have no experience with other software. GNUplot fails, with a similar approach to the following. I don&#39;t know R (jet).

    
    import matplotlib.pyplot as plt
    import matplotlib.cbook as cbook
    import struct
    
    &quot;&quot;&quot;
    plots a cfile
    
    cfile - IEEE single-precision (4-byte) floats, IQ pairs, binary
    txt - index,in-phase,quadrature in plaintext
    
    note: directly plotting with numpy results into shadowed functions
    &quot;&quot;&quot;
    
    # unpacking the cfile dataset
    def unpack_set(input_filename, output_filename):
        index = 0	# index of the samples
        output_filename = open(output_filename, &#39;wb&#39;)
         
        with open(input_filename, &quot;rb&quot;) as f:
    		
            byte = f.read(4)	# read 1. column of the vector
            
            while byte != &quot;&quot;:
    	    # stored Bit Values
                floati = struct.unpack(&#39;f&#39;, byte)	# write value of 1. column to a variable
                byte = f.read(4)			# read 2. column of the vector
                floatq = struct.unpack(&#39;f&#39;, byte) 	# write value of 2. column to a variable
                byte = f.read(4)			# next row of the vector and read 1. column
                # delimeter format for matplotlib 
    	        lines = [&quot;%d,&quot; % index, format(floati), &quot;,&quot;,  format(floatq), &quot;\n&quot;]
                output_filename.writelines(lines)
                index = index + 1
        output_filename.close
        return output_filename.name
    
    # reformats output (precision configuration here)
    def format(value):
        return &quot;%.8f&quot; % value            
    
    # start
    def main():
          	
        # specify path
        unpacked_file = unpack_set(&quot;test01.cfile&quot;, &quot;test01.txt&quot;)
        # pass file reference to matplotlib
        fname = str(unpacked_file)
        plt.plotfile(fname, cols=(0,1)) # index vs. in-phase
        
        # optional
        # plt.axes([0, 0.5, 0, 100000]) # for 100k samples
        plt.grid(True)
        plt.title(&quot;Signal-Diagram&quot;)
        plt.xlabel(&quot;Sample&quot;)
        plt.ylabel(&quot;In-Phase&quot;)
            
        plt.show();
    
    if __name__ == &quot;__main__&quot;:
        main()

Something like plt.swap_on_disk() could cache the stuff on my SSD ;)



Content Type	Original Author	Original Content on Stackoverflow
Question	bradley.ayers	View Question on Stackoverflow
Solution 1 - Python	Heberto Mayorquin	View Answer on Stackoverflow
Solution 2 - Python	Bernhard	View Answer on Stackoverflow
Solution 3 - Python	JLi	View Answer on Stackoverflow

Difference between "axes" and "axis" in matplotlib?

Python Problem Overview

Python Solutions

Solution 1 - Python

Solution 2 - Python

Solution 3 - Python

I don't have "Dynamic Web Project" option in Eclipse new Project wizard

How to use mysqldump for a portion of a table?

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