GitHub is home to over 50 million developers working together to host and review code, manage projects, and build software together. Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community. Already on GitHub? Sign in to your account. With matplotlib 1.
I have a much longer program where the twinx axes must be cleared while retaining the primary axis plot. I would prefer not to replot the entire graph each time the twinx axes change.
I have matplotlib installed via the anaconda package. Matplotlib 1. Linux version: Linux gamow 3.
Same result for backends Qt4Agg and TkAgg; the cla method cleared both axes. I also tried various other options such as setting ax2. However, once again ax1 was cleared. The ax2 clear commands seem to apply to the ax1 axis as well??? These options worked as expected for the earlier matplotlib version, clearing only the ax2 axis. I would appreciate any help; this looks like a bug in the latest version of matplotlib.
I could not find any reference to this problem in earlier posts. Skip to content. Dismiss Join GitHub today GitHub is home to over 50 million developers working together to host and review code, manage projects, and build software together.
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Stack Overflow for Teams is a private, secure spot for you and your coworkers to find and share information. I'm plotting two datasets with different units on the y-axis. Is there a way to make the ticks and gridlines aligned on both y-axes?
I wrote this function that takes Matplotlib axes objects ax1, ax2, and floats minresax1 minresax It calculates and sets the ticks such that there are seven ticks. The lowest tick corresponds to the current lowest tick and increases the highest tick such that the separation between each tick is integer multiples of minrexax1 or minrexax2.
To make it general, you can set the total number of ticks you want by changing ever 7 you see to the total number of ticks, and change 6 to the total number of ticks minus 1.
This code will ensure that grids from both axes align to each other, without having to hide gridlines from either set. In this example, it allows you to match whichever has the finer grid lines. This builds off of the idea from Leo. Hope it helps! If you're using axis labels, Leo's solution can push them off the sidedue to the precision of the numbers in the ticks. In a few test cases, this appears to produce the expected result, with both lined-up ticks and labels fully contained in the output.
I had the same issue except this was for a secondary x axis. I solved by setting my secondary x axis equal to the limit of my primary axis. Once I set the limit of the second axis equal to the first ax2. Learn more. How do I align gridlines for two y-axis scales using Matplotlib? Ask Question. Asked 5 years, 8 months ago.
Active 1 year, 5 months ago.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. Email Address. October 25, by cmdline.GitHub is home to over 50 million developers working together to host and review code, manage projects, and build software together.
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Already on GitHub? Sign in to your account. The issue: when making a twinx of the original axis with xlim and ylim explicitly set, the twinx axis and the plotting actions that follow will change the xlim of the original plot. This can sometimes leads to serious confusions. One example is when the axis and its twinx is part of an axes grid, and when its xticklabels are set to be invisible which is common in a regular grid of axes.
In this case, plotting actions with twinx will change the x axis range implicitly and unknowingly, hence changing the alignment with other axes, making the quantitative interpretation of the plots impossible. From the source code of twinx it is clear to me that the twinx only "inherits" the position of the original axis.
I am thinking that it might be more helpful if it inherits all the properties of the original x axis. When making grids of axes that should share tick labels, it is best to use the sharex and sharey kwargs to keep the limits in sync which avoids this problem ; see the plt. I think a pull request to copy the auto-scale state to the twined x-axis is a good idea, but do not think that propagating anything about the y-axis to the twin is a good idea.
Is there any case where those make sense? I don't believe so and would opt to eliminate those if possible. Sure, why wouldn't it? I can see why it might not be the case to do so most of the time, but there isn't really any reason not to allow it. But thinking about it, it makes sense in the case of a small multiples layout. Skip to content. Dismiss Join GitHub today GitHub is home to over 50 million developers working together to host and review code, manage projects, and build software together.
Sign up. New issue. Jump to bottom. Labels Difficulty: Easy. Milestone v2.In this Matplotlib tutorial, we're going to cover how we can have multiple Y axis on the same subplot. In our case, we're interested in plotting stock price and volume on the same graph, and same subplot.
To do this, first we need to define a new axis, but this axis will be a "twin" of the ax2 x axis. We're filling between 0 and the current folume, giving it a blue-ish face color, then giving it an alpha. We want to apply an alpha just in case the volume winds up covering over something else, so that we can still see both elements. Great, so far so good. Next, we might want to remove the labels on the new y axis, and then we also might want to not have the volume taking up so much space.
No problem:. So this is setting the y axis to show a range from 0 to the 3 times the maximum value of the volume. So, the more you increase the multiple of the volume. At this point, we're almost complete. The only missing thing here is a good legend. Some of the lines are obvious, but people might be curious what the moving average numbers are, which are 10 and 30 in our case, and so on.
Adding a custom legend is what is in store in the next tutorial. The next tutorial: Custom Legends with Matplotlib. Multi Y Axis with twinx Matplotlib.We provide the basics in pandas to easily create decent looking plots. See the ecosystem section for visualization libraries that go beyond the basics documented here. All calls to np. We will demonstrate the basics, see the cookbook for some advanced strategies. The plot method on Series and DataFrame is just a simple wrapper around plt.
If the index consists of dates, it calls gcf. On DataFrame, plot is a convenience to plot all of the columns with labels:. You can plot one column versus another using the x and y keywords in plot :. For more formatting and styling options, see formatting below.
Plotting methods allow for a handful of plot styles other than the default line plot. These methods can be provided as the kind keyword argument to plotand include:. You can also create these other plots using the methods DataFrame. This makes it easier to discover plot methods and the specific arguments they use:.
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In addition to these kind s, there are the DataFrame. Finally, there are several plotting functions in pandas. These include:. Scatter Matrix. Andrews Curves. Parallel Coordinates. Lag Plot. Autocorrelation Plot. Bootstrap Plot. Plots may also be adorned with errorbars or tables. To get horizontal bar plots, use the barh method:. Histograms can be drawn by using the DataFrame. Bin size can be changed using the bins keyword.
You can pass other keywords supported by matplotlib hist. See the hist method and the matplotlib hist documentation for more. The existing interface DataFrame. The by keyword can be specified to plot grouped histograms:.
Boxplot can be drawn calling Series. For instance, here is a boxplot representing five trials of 10 observations of a uniform random variable on [0,1.
Boxplot can be colorized by passing color keyword.
Matplotlib - Setting Ticks and Tick Labels
You can pass a dict whose keys are boxeswhiskersmedians and caps. If some keys are missing in the dictdefault colors are used for the corresponding artists. Also, boxplot has sym keyword to specify fliers style.
I know that this question has been answered by people multiple times but I just cant get my head around it. Any help will be greatly appreciated! Basically, I have this code. But I need the x axis to show the years and the secondary y axis to show the demand of the different car brands.
After writing the code into a new file. I will then proceed to read the file and convert it into a line plot with multiple data columns. What I currently have now is this:. What I want it to look like:. Here is how you would do what you are trying to achieve. The rest of the code is just decorations. Learn more. Multiple Y-axis with matplotlib with Twinx Ask Question. Asked 1 year, 10 months ago. Active 1 year, 10 months ago.
Viewed 1k times. ImportanceOfBeingErnest k 23 23 gold badges silver badges bronze badges. NovicePythoner NovicePythoner 3 4 4 bronze badges. What should be plotted on each of the axes? On the left one, Average Premium vs Year and on the right y-axis, the various brand s vs Year?
Is that correct? Active Oldest Votes.