There's one final issue - previously - the x-axis label "Time in milliseconds " was being rendered underneath the x-axis tickmarks 0. However, this moves both the x-axis tickmarks 0. The image resize done by SO has rendered them nigh unreadable. If the variable ax.
Learn more. Asked 8 years, 10 months ago. Active 2 years, 6 months ago. Viewed k times. Using the advice from Joe Kingston see question aboveI tried using: ax. Mel 4, 9 9 gold badges 30 30 silver badges 33 33 bronze badges. Active Oldest Votes. Kel Solaar 1, 1 1 gold badge 15 15 silver badges 18 18 bronze badges.
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As in the title: usually axis label on the x axis is plottet in the middle of the axis. How to move it on the right? John Hunter Re: move xaxis label on the right. In reply to this post by John Hunter Benjamin Root Yes, there is When calling.
You might have to fiddle with the 'ha' horizontalalignment keyword choices are 'center', 'left', 'right' in order to align your text relative to the coordinate you choose. Instead of 'ha', you use 'va' verticalalignment in that case choices: 'top', 'bottom', 'center', 'baseline'. I can see this as a reasonable enough feature for some to want to seek out.
Ben Root P. Don't know if that is a feature or a bug, but this kind of thing would be more obvious as matplotlib becomes more interactive. At the least, it probably should be documented in some way.
In reply to this post by Ruggero Sorry, I misread the meaning of "and on the top for y axis". As Ben noted, if all you want to do is move the x-alignment, you can pass horizontalalignment to the xlabel command.
Just to make it clear for anyone coming across this thread, horizontalalignment alone won't do it. It is by specifying the x for xlabel or the y for ylabel that will actually move the axis label in any usable fashion.
Ben Root. That should read text 1. I don't want to edit the y position of x label, I want to modify the x position of x label and the y position of y label Start uncovering the many advantages of virtual appliances and start using them to simplify application deployment and accelerate your shift to cloud computing. I don't want to edit the y position of x label, I want to modify the x position of x label and the y position of y label Yes, there is Ben Root Start uncovering the many advantages of virtual appliances and start using them to simplify application deployment and accelerate your shift to cloud computing.
Free forum by Nabble. Edit this page.I created test simple plot with matplotlib on www. By default the axes are around the graph. But I want axes to be intersected at 0,0 point.
I tried to find answer at matplotlib online documentation but not found. I would like to explain my problem more detail. Original graph has frame around it. Axes of this graph are located on the graph bordes. I want frame to be switched off and axis lines to be intersected at 0,0 point. Such graphs are drawn with Sage by default I'm glad to upload some pictures, but my karma isn't enough to do it. Thanks to the help of fidelbc I typed the following code:.
New graph responds my idea at more extent and I want to draw arrows on axes and ticks with its label to be located near new horisontal axes. Please help me to set these parameters or just move graph axis.
I'll just point out that this really isn't a Sage question at all I founded answer for my question! The code is below:. Sorry, but your code don't solve this ploblem. I tried it and didn't see any difference from my graph. Sorry, I might've missunderstood your question. I've added some images to contrast the differences.
Oh no! Some styles failed to load. 😵
Is this what you wanted to produce? Fidelbc, thank you for your help! Your link helped me at some extent.Photo also look at the eyeglass models
I realized my question wasn't detailed and I updated my question. Please start posting anonymously - your entry will be published after you log in or create a new account.
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With subplots, the axis tick labels are on the left, and it's quite hard to move them to the right:. It took me ages to work this out, and it feels like there should be a simpler way. Possibly I'm missing something, but if not, it would be nice to have a few new parameters to subplotsperhaps:.
Rather than making the API even more complex, I would suggest adding an example at the end of the docstring of subplots which should be just as discoverable. Skip to content. Dismiss Join GitHub today GitHub is home to over 40 million developers working together to host and review code, manage projects, and build software together.
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Sign in to view. Would axes[i, 0]. In fact you can even do without the "y" : axes[i, 0].An entire post on how to rotate axis labels?? Yes indeed. After playing around with Matplotlib for some time, I could never remember how to rotate axis labels.
Part of the reason it's hard to remember is that there are a plethora of ways to do it. In this post, we'll go through all the ways I've uncovered, with a few recommendations of which to use and when.
We'll show an example of why it might matter a bit later. Looks better-ish but the alignment is funky. That's because, by default, Matplotlib aligns the center of the text to the tick.
When you rotate the text, this no longer works so we need to change the alignment to right-aligned, like this:. Note: Throughout this post we'll just focus on the x-axis but know you can do the exact same thing for the y-axis as well - just substitute x for y e.
As you can see, only the last chart gets adjusted correctly.Matplotlib Tutorial 3 bar charts and histograms
This is because the plt method finds the current Axes object each bar chart here is a separate Axes object and just modifies that one. If you're just plotting one chart and doing EDA, this method is great.
Otherwise, it's probably best to get used to using an OO method below. This method takes the labels themselves as a required first parameter. But what if you want don't want to manually give the labels? Why can't we just tell Matplotlib to re-use what it already has? You can - using ax. What happened? Long story short, Matplotlib doesn't attach the labels to the chart until the very end, when the chart is drawn. A relatively hacky fix is just to draw the chart before calling the method.
This is a great method to know how to use but it's relatively verbose and comes with the caveat about needing to make sure the figure has been drawn before calling the get method. In this method, you get a list of the labels, loop through each one, and set rotation and alignment for each.
A few nice things about this method:. This option is relatively simple but comes with a big drawback at the moment - you can't currently set alignment. However, there's an open feature request to allow it, so stay tuned!Click here to download the full example code. This is an experimental feature and may not work for some cases. It only checks the extents of ticklabels, axis labels, and titles. In matplotlib, the location of axes including subplots are specified in normalized figure coordinates.
It can happen that your axis labels or titles or sometimes even ticklabels go outside the figure area, and are thus clipped.Forensic court report example
To prevent this, the location of axes needs to be adjusted. For subplots, this can be done by adjusting the subplot params Move the edge of an axes to make room for tick labels. Matplotlib v1. Note that matplotlib. In order to perform this adjustment each time the figure is redrawn, you can call fig. These control the extra padding around the figure border and between subplots.
The pads are specified in fraction of fontsize. In the example below, ax1 and ax2 are subplots of a 2x2 grid, while ax3 is of a 1x2 grid. It works with subplots created with subplot2grid. Although not thoroughly tested, it seems to work for subplots with aspect!
You may provide an optional rect parameter, which specifies the bounding box that the subplots will be fit inside. The coordinates must be in normalized figure coordinates and the default is 0, 0, 1, 1. While this should be mostly good enough, adjusting top and bottom may require adjustment of hspace also. Note that the rect argument specifies the area including the ticklabels, etc. Thus, we will increase the bottom which is 0 for the normal case by the difference between the bottom from above and the bottom of each gridspec.
Same thing for the top. Pre Matplotlib 2.Sometimes, as part of a quick exploratory data analysis, you may want to make a single plot containing two variables with different scales.
One of the options is to make a single plot with two different y-axis, such that the y-axis on the left is for one variable and the y-axis on the right is for the y-variable. If you try to plot the two variables on a same plot without having two different y-axis, the plot would not really make sense.
These objects can share one axis for example, the time, or x-axis while not sharing the other the y-axis. We will use gapminder data from Carpentries to make the plot with two different y-axis on the same plot. Let us subset gapminder data by using Pandas query function to filter for rows with United States. Both lifeExp and gdpPercap have different ranges. We can immediately see that this is a bad idea. The line for lifeExp over years is flat and really low. One of the solutions is to make the plot with two different y-axes.
The way to make a plot with two different y-axis is to use two different axes objects with the help of twinx function. We first create figure and axis objects and make a first plot. In this example, we plot year vs lifeExp.
And we also set the x and y-axis labels by updating the axis object. Now we have what we wanted. A plot with with different y-axis made with twinx in matplotlib. This definitely help us understand the relationship of the two variables against another. We can see that both lifeExp and gdpPerCap have increased over the years. Plot with two different y-axis with twinx in Python. Although a plot with two y-axis does help see the pattern, personally I feel this is bit cumbersome.
We will see an example of that soon.5 carat yellow sapphire ring
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