use labelpad parameter:
    
    pl.xlabel(&quot;...&quot;, labelpad=20)

or set it after:

    ax.xaxis.labelpad = 20

If the variable ax.xaxis._autolabelpos = True, matplotlib sets the label position in function _update_label_position in axis.py according to (some excerpts):

        bboxes, bboxes2 = self._get_tick_bboxes(ticks_to_draw, renderer)
        bbox = mtransforms.Bbox.union(bboxes)
        bottom = bbox.y0
        x, y = self.label.get_position()
        self.label.set_position((x, bottom - self.labelpad * self.figure.dpi / 72.0))
 
You can set the label position independently of the ticks by using:

        ax.xaxis.set_label_coords(x0, y0)

that sets _autolabelpos to False or as mentioned above by changing the labelpad parameter.

How do I change the value of `JAVA_HOME` in Ubuntu to point to Oracle&#39;s Java? 

Should it point to `java-6-sun` or `java-6-sun-1.6.0.24` ?

How to set Oracle&#39;s Java as the default Java in Ubuntu?

I am binding a click event with a button:

    $(&#39;#myButton&#39;).bind(&#39;click&#39;,  onButtonClicked);

In one scenario, this is getting called multiple times, so when I do a `trigger` I see multiple ajax calls which I want to prevent.

How do I `bind` only if its not bound before.

How to check if click event is already bound - JQuery

I&#39;m using Matplotlib to plot a histogram.
Using tips from my previous question: https://stackoverflow.com/questions/6352740/matplotlib-label-each-bin,
I&#39;ve more or less go the kinks worked out.

There&#39;s one final issue - previously - the x-axis label (&quot;Time (in milliseconds)&quot;) was being rendered underneath the x-axis tickmarks (0.00, 0.04, 0.08, 0.12 etc.)

![No padding - Axis label underneath figures][1]

Using the advice from Joe Kingston (see question above), I tried using:

    ax.tick_params(axis=&#39;x&#39;, pad=30)

However, this moves both the x-axis tickmarks (0.00, 0.04, 0.08, 0.12 etc.), as well as the x-axis label (&quot;Time (in milliseconds)&quot;):

![30 Padding - Both Axis Label and Tick Marks have Moved][2]

Is there any way to move only the x-axis label to underneath the three rows of figures?

*Nb: You may need to open the PNGs below directly - Right Click on the image, then View Image (in FF), or Open image in new tab (Chrome). The image resize done by SO has rendered them nigh unreadable*


  [1]: http://i.stack.imgur.com/opTBt.png
  [2]: http://i.stack.imgur.com/2EF4Y.png

Matplotlib - Move X-Axis label downwards, but not X-Axis Ticks

I'm using Matplotlib to plot a histogram.
Using tips from my previous question: <a href="https://stackoverflow.com/questions/6352740/matplotlib-label-each-bin" target="_blank" rel="noopener noreferrer">https://stackoverflow.com/questions/6352740/matplotlib-label-each-bin</a>,
I've more or less go the kinks worked out.
There's one final issue - previously - the x-axis label ("Time (in milliseconds)") was being rendered underneath the x-axis tickmarks (0.00, 0.04, 0.08, 0.12 etc.)
<img src="http://i.stack.imgur.com/opTBt.png" alt="No padding - Axis label underneath figures">
Using the advice from Joe Kingston (see question above), I tried using:
<pre><code class="hljs language-ini">ax.tick_params(axis='x', pad=30)
</code></pre>
However, this moves both the x-axis tickmarks (0.00, 0.04, 0.08, 0.12 etc.), as well as the x-axis label ("Time (in milliseconds)"):
<img src="http://i.stack.imgur.com/2EF4Y.png" alt="30 Padding - Both Axis Label and Tick Marks have Moved">
Is there any way to move only the x-axis label to underneath the three rows of figures?
Nb: You may need to open the PNGs below directly - Right Click on the image, then View Image (in FF), or Open image in new tab (Chrome). The image resize done by SO has rendered them nigh unreadable

This condition always evaluates to `True` even if it&#39;s the same day because it is comparing time.

    from datetime import datetime

    # ...

    if date_num_posts &lt; datetime.today(): 

How can I check if a date is the same day as `datetime.today()`?

How can I check if a date is the same day as datetime.today()?

I&#39;m trying to write a python class which uses a decorator function that needs information of the instance state. This is working as intended, but if I explicitly make the decorator a staticmetod, I get the following error:


    Traceback (most recent call last):
      File &quot;tford.py&quot;, line 1, in &lt;module&gt;
        class TFord(object):
      File &quot;tford.py&quot;, line 14, in TFord
        @ensure_black
    TypeError: &#39;staticmethod&#39; object is not callable

Why?

Here is the code:

	class TFord(object):
		def __init__(self, color):
			self.color = color
		
		@staticmethod
		def ensure_black(func):
			def _aux(self, *args, **kwargs):
				if self.color == &#39;black&#39;:
					return func(*args, **kwargs)
				else:
					return None
			return _aux

		@ensure_black
		def get():
			return &#39;Here is your shiny new T-Ford&#39;

	if __name__ == &#39;__main__&#39;:
		ford_red = TFord(&#39;red&#39;)
		ford_black = TFord(&#39;black&#39;)

		print ford_red.get()
		print ford_black.get()

And if I just remove the line `@staticmethod`, everything works, but I do not understand why. Shouldn&#39;t it need `self` as a first argument?

Python decorator as a staticmethod

What Python PDF libraries are there?

I need to make some PDF with many grids, and I&#39;m looking for a library that allows to manage pages (multi-page). The library should calculate when the page is ended and then create the next page.

Python PDF library

I want to add an item to an existing dictionary in Python. For example, this is my dictionary:

    default_data = {
                &#39;item1&#39;: 1,
                &#39;item2&#39;: 2,
    }

I want to add a new item such that:

    default_data = default_data + {&#39;item3&#39;:3}

How can I achieve this?


Add a new item to a dictionary in Python

In python, how do I check if an object is a generator object?

Trying this - 

    &gt;&gt;&gt; type(myobject, generator)

gives the error -

    Traceback (most recent call last):
      File &quot;&lt;stdin&gt;&quot;, line 1, in &lt;module&gt;
    NameError: name &#39;generator&#39; is not defined

(I know I can check if the object has a `next` method for it to be a generator, but I want some way using which I can determine the type of any object, not just generators.)

How to check if an object is a generator object in python?

I&#39;m trying to use matplotlib to make a scatter plot with very small gray points.  Because of the point density, the points need to be small.  The problem is that the scatter() function&#39;s markers seem to have both a line and a fill.  When the markers are small, only the line is visible, not the fill, and the line isn&#39;t the right colour (it&#39;s always black).

I can get exactly what I want using gnuplot: plot &#39;nodes&#39; with points pt 0 lc rgb &#39;gray&#39;

How can I make very small gray points using matplotlib scatterplot()?

small scatter plot markers in matplotlib are always black

Very similar to [this question][1] but with the difference that my figure can be as large as it needs to be.

I need to generate a whole bunch of vertically-stacked plots in matplotlib. The result will be saved using figsave and viewed on a webpage, so I don&#39;t care how tall the final image is as long as the subplots are spaced so they don&#39;t overlap. 

No matter how big I allow the figure to be, the subplots always seem to overlap.

My code currently looks like

    import matplotlib.pyplot as plt
    import my_other_module
    
    titles, x_lists, y_lists = my_other_module.get_data()
    
    fig = plt.figure(figsize=(10,60))
    for i, y_list in enumerate(y_lists):
        plt.subplot(len(titles), 1, i)
    	plt.xlabel(&quot;Some X label&quot;)
    	plt.ylabel(&quot;Some Y label&quot;)
    	plt.title(titles[i])
    	plt.plot(x_lists[i],y_list)
    fig.savefig(&#39;out.png&#39;, dpi=100)


  [1]: https://stackoverflow.com/questions/2418125/matplotlib-subplots-adjust-hspace-so-titles-and-xlabels-dont-overlap

Improve subplot size/spacing with many subplots in matplotlib

I have too many ticks on my graph and they are running into each other.

How can I reduce the number of ticks?  

For example, I have ticks:
    
    1E-6, 1E-5, 1E-4, ... 1E6, 1E7

And I only want:

    1E-5, 1E-3, ... 1E5, 1E7

I&#39;ve tried playing with the `LogLocator`, but I haven&#39;t been able to figure this out.


reducing number of plot ticks

I used **matplotlib** to create some plot, which depends on 8 variables. I would like to study how the plot changes when I change some of them. I created some script that calls the **matplotlib** one and generates different snapshots that later I convert into a movie, it is not bad, but a bit clumsy. 

1. I wonder if somehow I could interact with the plot regeneration using keyboard keys to increase / decrease values of some of the variables and see instantly how the plot changes. 

2. What is the best approach for this? 

3. Also if you can point me to interesting links or a link with a plot example with just two sliders?

Interactive matplotlib plot with two sliders

## Updated MRE with subplots

- I&#39;m not sure of the usefulness of the original question and MRE. The margin padding seems to be properly adjusted for large x and y labels.
- The issue is reproducible with subplots.
- Using `matplotlib 3.4.2`

```python
fig, axes = plt.subplots(ncols=2, nrows=2, figsize=(8, 6))
axes = axes.flatten()

for ax in axes:
    ax.set_ylabel(r&#39;$\ln\left(\frac{x_a-x_b}{x_a-x_c}\right)$&#39;)
    ax.set_xlabel(r&#39;$\ln\left(\frac{x_a-x_d}{x_a-x_e}\right)$&#39;)

plt.show()
```
[![enter image description here][2]][2]

## Original

I am plotting a dataset using `matplotlib` where I have an xlabel that is quite &quot;tall&quot; (it&#39;s a formula rendered in TeX that contains a fraction and is therefore has the height equivalent of a couple of lines of text).

In any case, the bottom of the formula is always cut off when I draw the figures.  Changing figure size doesn&#39;t seem to help this, and I haven&#39;t been able to figure out how to shift the x-axis &quot;up&quot; to make room for the xlabel.  Something like that would be a reasonable temporary solution, but what would be nice would be to have a way to make matplotlib recognize automatically that the label is cut off and resize accordingly.

Here&#39;s an example of what I mean:

    import matplotlib.pyplot as plt
    
    plt.figure()
    plt.ylabel(r&#39;$\ln\left(\frac{x_a-x_b}{x_a-x_c}\right)$&#39;)
    plt.xlabel(r&#39;$\ln\left(\frac{x_a-x_d}{x_a-x_e}\right)$&#39;, fontsize=50)
    plt.title(&#39;Example with matplotlib 3.4.2\nMRE no longer an issue&#39;)
    plt.show()

[![enter image description here][1]][1]

The entire ylabel is visible, however, the xlabel is cut off at the bottom. 

In the case this is a machine-specific problem, I am running this on OSX 10.6.8 with matplotlib 1.0.0




  [1]: https://i.stack.imgur.com/pJ9qx.png
  [2]: https://i.stack.imgur.com/RZ0QA.png

How to adjust padding with cutoff or overlapping labels

I&#39;m an R/ggplot newbie. I would like to create a geom_line plot of a continuous variable time series and then add a layer composed of events. The continuous variable and its timestamps is stored in one data.frame, the events and their timestamps are stored in another data.frame. 

What I would _really_ like to do is something like the charts on finance.google.com. In those, the time series is stock-price and there are &quot;flags&quot; to indicate news-events. I&#39;m not actually plotting finance stuff, but the type of graph is similar. I am trying to plot visualizations of log file data. Here&#39;s an example of what I mean...

![google chart with events][1]

If advisable (?), I would like to use separate data.frames for each layer (one for continuous variable observations, another for events).

After some trial and error this is about as close as I can get. Here, I am using example data from data sets that come with ggplot. &quot;economics&quot; contains some time-series data that I&#39;d like to plot and &quot;presidential&quot; contains a few events (presidential elections).
    
    library(ggplot2)
    data(presidential)
    data(economics)

    presidential &lt;- presidential[-(1:3),]
    yrng &lt;- range(economics$unemploy)
    ymin &lt;- yrng[1]
    ymax &lt;- yrng[1] + 0.1*(yrng[2]-yrng[1])
    
    p2 &lt;- ggplot()
    p2 &lt;- p2 + geom_line(mapping=aes(x=date, y=unemploy), data=economics , size=3, alpha=0.5) 
    p2 &lt;- p2 + scale_x_date(&quot;time&quot;) +  scale_y_continuous(name=&quot;unemployed [1000&#39;s]&quot;)
    p2 &lt;- p2 + geom_segment(mapping=aes(x=start,y=ymin, xend=start, yend=ymax, colour=name), data=presidential, size=2, alpha=0.5)
    p2 &lt;- p2 + geom_point(mapping=aes(x=start,y=ymax, colour=name ), data=presidential, size=3) 
    p2 &lt;- p2 + geom_text(mapping=aes(x=start, y=ymax, label=name, angle=20, hjust=-0.1, vjust=0.1),size=6, data=presidential)
    p2

![my attempt][2]


Questions: 

 * This is OK for very sparse events, but if there&#39;s a cluster of them (as often happens in a log file), it gets messy. Is there some technique I can use to neatly display a bunch of events occurring in a short time interval? I was thinking of position_jitter, but it was really hard for me to get this far. google charts stacks these event &quot;flags&quot; on top of each other if there&#39;s a lot of them.

 * I actually don&#39;t like sticking the event data in the same scale as the continuous measurement display. I would prefer to put it in a facet_grid. The problem is that the facets all must be sourced from the same data.frame (not sure if that&#39;s true). If so, that also seems not ideal (or maybe I&#39;m just trying to avoid using reshape?)



  [1]: http://i.stack.imgur.com/R4OWP.png
  [2]: http://i.stack.imgur.com/h6Sml.png

R + ggplot : Time series with events

How can I change the size of only the yaxis label?
Right now, I change the size of all labels using
    
    pylab.rc(&#39;font&#39;, family=&#39;serif&#39;, size=40)


but in my case, I would like to make the y-axis label larger than the x-axis. However, I&#39;d like to leave the tick labels alone.

I&#39;ve tried, for example:

    pylab.gca().get_ylabel().set_fontsize(60)

but I only get:
     
    AttributeError: &#39;str&#39; object has no attribute &#39;set_fontsize&#39;

So, obviously that doesn&#39;t work. I&#39;ve seen lots of stuff for tick sizes, but nothing for the axis labels themselves.

matplotlib set yaxis label size

With `matplotlib` when a log scale is specified for an axis, the default method of labeling that axis is with numbers that are 10 to a power eg. 10^6. Is there an easy way to change all of these labels to be their full numerical representation? eg. 1, 10, 100, etc.

Note that I do not know what the range of powers will be and want to support an arbitrary range (negatives included).

Content Type	Original Author	Original Content on Stackoverflow
Question	victorhooi	View Question on Stackoverflow
Solution 1 - Python	HYRY	View Answer on Stackoverflow
Solution 2 - Python	Matthias123	View Answer on Stackoverflow

Matplotlib - Move X-Axis label downwards, but not X-Axis Ticks

Python Problem Overview

Python Solutions

Solution 1 - Python

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How to check if click event is already bound - JQuery

How to set Oracle's Java as the default Java in Ubuntu?

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