This should work:

    legend(numpoints=1)

BTW, if you add the line

    legend.numpoints     : 1      # the number of points in the legend line

to your matplotlibrc file, then this will be the new default.

[See also scatterpoints, depending on your plot.]

API: [Link to API docs][1]


  [1]: http://matplotlib.org/api/axes_api.html#matplotlib.axes.Axes.legend

I like to change my matplotlib rc parameters dynamically in every python script. To achieve this goal I simply use somthing like that at the beginning of my python files.

    from pylab import *
    rcParams[&#39;legend.numpoints&#39;] = 1

This will apply to all plots generated from my python file.

EDIT: For those who do not like to import pylab, the long answer is

    import matplotlib as mpl
    mpl.rcParams[&#39;legend.numpoints&#39;] = 1

I&#39;m implementing Google&#39;s Instant Search in my application. I&#39;d like to fire off HTTP requests as the user types in the text input. The only problem I&#39;m having is that when the user gets to a space in between first and last names, the space is not encoded as a `+`, thus breaking the search. How can I either replace the space with a `+`, or just safely URL Encode the string?

	$(&quot;#search&quot;).keypress(function(){		
		var query = &quot;{% url accounts.views.instasearch  %}?q=&quot; + $(&#39;#tags&#39;).val();
	    var options = {};
		$(&quot;#results&quot;).html(ajax_load).load(query);
	});


URL Encode a string in jQuery for an AJAX request

I want to add `JTable` into `JPanel` whose layout is `null`.  `JPanel` contains other components. I have to add `JTable` at proper position.


How to add JTable in JPanel with null layout?

I often plot a point on a matplotlib plot with:

    x = 10
    y = 100
    plot(x, y, &quot;k*&quot;, label=&quot;Global Optimum&quot;)
    legend()

However, this causes the legend to put a star in the legend twice, such that it looks like:

    * * Global Optimum

when I really want it to look like:

     *  Global Optimum

How do I do this?

matplotlib Legend Markers Only Once

I often plot a point on a matplotlib plot with:
<pre><code class="hljs language-ini">x = 10
y = 100
plot(x, y, "k*", label="Global Optimum")
legend()
</code></pre>
However, this causes the legend to put a star in the legend twice, such that it looks like:
<pre><code class="hljs language-markdown">* * Global Optimum
</code></pre>
when I really want it to look like:
<pre><code class="hljs language-markdown"> * Global Optimum
</code></pre>
How do I do this?

I can&#39;t really think of any reason why Python needs the `del` keyword (and most languages seem to not have a similar keyword). For instance, rather than deleting a variable, one could just assign `None` to it. And when deleting from a dictionary, a `del` method could be added.

Is there a reason to keep `del` in Python, or is it a vestige of Python&#39;s pre-garbage collection days?


When is del useful in Python?

I&#39;m trying to generate a linear regression on a scatter plot I have generated, however my data is in list format, and all of the examples I can find of using `polyfit` require using `arange`. `arange` doesn&#39;t accept lists though. I have searched high and low about how to convert a list to an array and nothing seems clear. Am I missing something?

Following on, how best can I use my list of integers as inputs to the `polyfit`?

Here is the polyfit example I am following:
    
    import numpy as np
    import matplotlib.pyplot as plt

    x = np.arange(data)
    y = np.arange(data)

    m, b = np.polyfit(x, y, 1)

    plt.plot(x, y, &#39;yo&#39;, x, m*x+b, &#39;--k&#39;)
    plt.show()

Linear regression with matplotlib / numpy

What is the best way to set a start index when iterating a list in Python. For example, I have a list of the days of the week - Sunday, Monday, Tuesday, ... Saturday - but I want to iterate through the list starting at Monday. What is the best practice for doing this?

Start index for iterating Python list

I have a function taking float arguments (generally integers or decimals with one significant digit), and I need to output the values in a string with two decimal places (5 → 5.00, 5.5 → 5.50, etc). How can I do this in Python?

How to display a float with two decimal places?

I am using [lxml.html][1] to generate some HTML. I want to pretty print (with indentation) my final result into an html file. How do I do that?

This is what I have tried and got till now
    

    import lxml.html as lh
    from lxml.html import builder as E
    sliderRoot=lh.Element(&quot;div&quot;, E.CLASS(&quot;scroll&quot;), style=&quot;overflow-x: hidden; overflow-y: hidden;&quot;)
    scrollContainer=lh.Element(&quot;div&quot;, E.CLASS(&quot;scrollContainer&quot;), style=&quot;width: 4340px;&quot;)
    sliderRoot.append(scrollContainer)
    print lh.tostring(sliderRoot, pretty_print = True, method=&quot;html&quot;)

As you can see I am using the `pretty_print=True` attribute. I thought that would give indented code, but it doesn&#39;t really help. This is the output :

`&lt;div style=&quot;overflow-x: hidden; overflow-y: hidden;&quot; class=&quot;scroll&quot;&gt;&lt;div style=&quot;width: 4340px;&quot; class=&quot;scrollContainer&quot;&gt;&lt;/div&gt;&lt;/div&gt;`


  [1]: http://lxml.de/lxmlhtml.html

How to Pretty Print HTML to a file, with indentation

I&#39;d like to create a matplotlib pie chart which has the value of each wedge written on top of the wedge.

The [documentation][1] suggests I should use `autopct` to do this. 

&gt; autopct: [ None | format string |
&gt; format function ]
&gt;     If not None, is a string or function used to label the wedges with
&gt; their numeric value. The label will be
&gt; placed inside the wedge. If it is a
&gt; format string, the label will be
&gt; fmt%pct. If it is a function, it will
&gt; be called.

	
Unfortunately, I&#39;m unsure what this format string or format function is supposed to be.

Using this basic example below, how can I display each numerical value on top of its wedge?
	
    plt.figure()
    values = [3, 12, 5, 8] 
    labels = [&#39;a&#39;, &#39;b&#39;, &#39;c&#39;, &#39;d&#39;] 
    plt.pie(values, labels=labels) #autopct??
    plt.show()


  [1]: http://matplotlib.sourceforge.net/api/pyplot_api.html#matplotlib.pyplot.pie

How do I use matplotlib autopct?

Is it possible, with Matplotlib, to print the values of each point on the graph?

For example, if I have:

    x = numpy.range(0,10)
    y = numpy.array([5,3,4,2,7,5,4,6,3,2])
    pyplot.plot(x,y)

How can I display y values on the plot (e.g. print a 5 near the (0,5) point, print a 3 near the (1,3) point, etc.)?

Writing numerical values on the plot with Matplotlib

Looking at the `matplotlib` documentation, it seems the standard way to add an `AxesSubplot` to a `Figure` is to use `Figure.add_subplot`:

    from matplotlib import pyplot

    fig = pyplot.figure()
    ax = fig.add_subplot(1,1,1)
    ax.hist( some params .... )

I would like to be able to create `AxesSubPlot`-like objects independently of the figure, so I can use them in different figures. Something like

    fig = pyplot.figure()
    histoA = some_axes_subplot_maker.hist( some params ..... )
    histoA = some_axes_subplot_maker.hist( some other params ..... )
    # make one figure with both plots
    fig.add_subaxes(histo1, 211)
    fig.add_subaxes(histo1, 212)
    fig2 = pyplot.figure()
    # make a figure with the first plot only
    fig2.add_subaxes(histo1, 111)

Is this possible in `matplotlib` and if so, how can I do this?

**Update:** I have not managed to decouple creation of Axes and Figures, but following examples in the answers below, can easily re-use previously created axes in new or olf Figure instances. This can be illustrated with a simple function:

    def plot_axes(ax, fig=None, geometry=(1,1,1)):
        if fig is None:
            fig = plt.figure()
        if ax.get_geometry() != geometry :
            ax.change_geometry(*geometry)
        ax = fig.axes.append(ax)
        return fig



matplotlib: can I create AxesSubplot objects, then add them to a Figure instance?

I&#39;m currently using Matplotlib to create a histogram:

![enter image description here][1]

    import matplotlib
    matplotlib.use(&#39;Agg&#39;)
    import matplotlib.pyplot as pyplot
    ...
    fig = pyplot.figure()
    ax = fig.add_subplot(1,1,1,)
    n, bins, patches = ax.hist(measurements, bins=50, range=(graph_minimum, graph_maximum), histtype=&#39;bar&#39;)

    #ax.set_xticklabels([n], rotation=&#39;vertical&#39;)

    for patch in patches:
        patch.set_facecolor(&#39;r&#39;)

    pyplot.title(&#39;Spam and Ham&#39;)
    pyplot.xlabel(&#39;Time (in seconds)&#39;)
    pyplot.ylabel(&#39;Bits of Ham&#39;)
    pyplot.savefig(output_filename)


I&#39;d like to make the x-axis labels a bit more meaningful.

Firstly, the x-axis ticks here seem to be limited to five ticks. No matter what I do, I can&#39;t seem to change this - even if I add more xticklabels, it only uses the first five. I&#39;m not sure how Matplotlib calculates this, but I assume it&#39;s auto-calculated from the range/data?

**Is there some way I can increase the resolution of x-tick labels** - even to the point of one for each bar/bin?

(Ideally, I&#39;d also like the seconds to be reformatted in micro-seconds/milli-seconds, but that&#39;s a question for another day).

Secondly, I&#39;d like **each individual bar labeled** - with the actual number in that bin, as well as the percentage of the total of all bins.

The final output might look something like this:

![enter image description here][2]

Is something like that possible with Matplotlib?

Cheers,
Victor


  [1]: http://i.stack.imgur.com/B0jJr.png
  [2]: http://i.stack.imgur.com/UyBGD.png

Content Type	Original Author	Original Content on Stackoverflow
Question	carl	View Question on Stackoverflow
Solution 1 - Python	DSM	View Answer on Stackoverflow
Solution 2 - Python	mcgagnon	View Answer on Stackoverflow

matplotlib Legend Markers Only Once

Python Problem Overview

Python Solutions

Solution 1 - Python

Solution 2 - Python

How to add JTable in JPanel with null layout?

URL Encode a string in jQuery for an AJAX request

Attributions