matplotlib legend outside plot cut off

Placing the legend (bbox_to_anchor)A legend is positioned inside the bounding box of the axes using the loc argument to plt.legend. A lot of times, graphs can be self-explanatory, but having a title to the graph, labels on the axis, and a legend that explains what each line is can be necessary. I'm trying to place a rather extensive legend outside my plot in matplotlib. Added: I found something that should do the trick right away, but the rest of the code below also offers an alternative. Matplotlib tried to put the legend in the best location within the plot, but the legend still overlapped the data. Hello! Scatter plots with a legend¶. The following code shows how to do it. Now that there are a varying number of plots this isn't as simple since I cannot find a nice formula for determining how much to shrink the plot and how far down to put the legend so it is not being cut off or overlapping the axis. As en example, I am going to apply the principal component analysis method to the crabs dataset available in the MASS library. In this tutorial, you will learn how to put Legend outside the plot using Python with Pandas. Successfully merging a pull request may close this issue. The merge operation above returned a GeoDataFrame. The first step I tried to move the legend outside the figure was to add this code to the “legend” method: plt.legend(loc='upper left', bbox_to_anchor=(1,1)) Unfortunately, the legend was being cut-off on … It’s as simple as passing bbox_to_anchor to the legend… Already on GitHub? To draw all markers at the same height, set to [0.5]. The legend() method adds the legend to the plot. The standard way to create a plot with the legend within it looks like this: The first step I tried to move the legend outside the figure was to add this code to the “legend” method: Unfortunately, the legend was being cut-off on the right hand side. The produced image is. One of the things that has been a little frustrating lately has been what to do if you need a legend for your plot, yet there’s so much content on your plot you need to place it next to the figure, rather than within it. How to put the legend out of the plot. legend : False/True/'reverse'. This can be useful if e.g. Placing the legend (bbox_to_anchor)A legend is positioned inside the bounding box of the axes using the loc argument to plt.legend. import matplotlib.pylab as plt fig, ax = plt.subplots(1, 1, figsize=(10,6)) # make the figure with the size 10 x 6 inches I then tried to shrink down the legend (as it was rather large) and when that didn’t work, I found out that I could pass a padding argument to the “tight_layout” method which finally solved the issue: The final code to solve the problem with establishing a large margin around the figure: Jack is a data scientist with a PhD in computational biology, Positioning a legend outside the figure with Matplotlib and Python, Click to share on Twitter (Opens in new window), Click to share on Facebook (Opens in new window), Google have released a Python to Go transcompiler, Removing webpage newline characters in Python. Sign up for a free GitHub account to open an issue and contact its maintainers and the community. I keep forgetting how to turn the bounding box OFF for matplotlib’s legend(). Axis grid lines. Have a question about this project? The legend would be fully displayed as in the following example. Matplotlib automatic legend outside plot, EDIT: I HIGHLY RECOMMEND USING THE ANSWER FROM ImportanceOfBeingErnest: How to put Sometimes it is necessary or desirable to place the legend outside the plot. A little bit better! Creation of corresponding legend handles from the plot elements in the axes or figures (e.g., lines, patches, etc.) to your account. In this tutorial, we're going to cover legends, titles, and labels within Matplotlib. A little bit better! Unfortunately, Matplotlib does not make this easy: via the standard legend interface, it is only possible to create a single legend for the entire plot. Matplotlib automatic legend outside plot, EDIT: I HIGHLY RECOMMEND USING THE ANSWER FROM ImportanceOfBeingErnest: How to put Sometimes it is necessary or desirable to place the legend outside the plot. Then play with the offset in the legend bbox_to_anchor part of the legend command, to get the legend box where you want it. How to put the legend out of the plot ; Why is my xlabel cut off in my matplotlib plot? The following are 30 code examples for showing how to use matplotlib.pyplot.legend().These examples are extracted from open source projects. fig.subplots_adjust(bottom=0.2) # <-- Change the 0.02 to work for your plot. Example. For some unfathomable reason you'll need to add loc=9 so the legend … Default is [0.375, 0.5, 0.3125]. the axis labels are too far outside and get cut off. The following code shows how to do it. loc="upper right" places the legend in the upper right corner of the bounding box, which by default extents from (0,0) to (1,1) in axes coordinates (or in bounding box notation (x0,y0, width, height)=(0,0,1,1)). bbox_to_anchor kwarg sets legend to be centered on X axis and below that axis. It seems that the answers in these questions have the luxury of being able to fiddle with the exact shrinking of the axis so that the legend fits. Title to use for the plot. E.g. Caveat. loc="upper right" places the legend in the upper right corner of the bounding box, which by default extents from (0,0) to (1,1) in axes coordinates (or in bounding box notation (x0,y0, width, height)=(0,0,1,1)). It returns artists that are currently supported by matplotlib. at this point we can’t just plot a legend, then another legend. The left plot was generated with plt.legend(loc = 'best', numpoints=1, fancybox=True) and leg.get_frame().set_alpha(0.5). If you want yout legend over there, you can make the axis smaller (fig.subplots_adjust=0.85). It’s especially so if you are used to making your visualizations using other BI software or even R, where most plots come already… legend bool, optional. Apparently the legends are not part of the calculations when matplotlib lays out the axes. Legend location¶. The location of the legend can be specified by the keyword argument loc.Please see the documentation at legend() for more details.. But, if you try to save the figure with its legend produced by fig.legend() using the option bbox_inches='tight', the legend may not be present in the generate image file.This is a bug of Matplotlib. When I've done this before, I've always just shrunk the plot a bit and put the legend under the plot. As en example, I am going to apply the principal component analysis method to the crabs dataset available in the MASS library. Put the legend at various position of the plot with Matplotlib Python Programming. When I've done this before, I've always just shrunk the plot a bit and put the legend under the plot. Placing the legend (bbox_to_anchor)A legend is positioned inside the bounding box of the axes using the loc argument to plt.legend. A lot of times, graphs can be self-explanatory, but having a title to the graph, labels on the axis, and a legend that explains what each line is can be necessary. The following also demonstrates how transparency of the markers can be adjusted by giving alpha a … Save plot to image file instead of displaying it using Matplotlib ; Moving matplotlib legend outside of the axis makes it cutoff by the figure box ; How to write a Python module/package? see #9130). For matplotlib v1.0 and earlier, the supported artists are as follows. In the matplotlib legend guide there is an example how to locate it on the top: # Place a legend above this subplot, expanding itself to # fully use the given bounding box. Adding titles in plot :- It also plays an important role in the annotation of plot as it states the topic of the plot that the graph or diagram is related to what types of topics. plt.legend(bbox_to_anchor=(0., 1.02, 1., .102), loc=3, ncol=2, mode="expand", borderaxespad=0.) Let’s understand this through an example: Matplotlib legend outside. In this tutorial, we're going to cover legends, titles, and labels within Matplotlib. outside - python savefig cuts off legend How to put the legend out of the plot (11) Placing the legend (bbox_to_anchor) A legend is positioned inside the bounding box of … python matplotlib plot save title this question asked Mar 14 '16 at 16:08 qwertz 32 5 Please follow Minimal, Complete, and Verifiable example. grid : boolean, default None (matlab style default). loc="upper right" places the legend in the upper right corner of the bounding box, which by default extents from (0,0) to (1,1) in axes coordinates (or in bounding box notation (x0,y0, width, height)=(0,0,1,1)). By default, if a matplotlib legend is located outside of the plot axes, then matplotlib.pyplot.savefig() may cut off the legend when saving the figure. x_estimator : (optional)This parameter is callable that maps vector -> scalar, Apply this function to each unique value of x and plot the resulting estimate. We’ll occasionally send you account related emails. E.g. Here's how... from matplotlib import pyplot as plt plt.plot(a,b, label="legend label") By clicking “Sign up for GitHub”, you agree to our terms of service and One option is to put the legend outside of the axis, but we have multiple subplots here and that would be pretty difficult. The vertical offset (relative to the font size) for the markers created for a scatter plot legend entry. The Legend class can be considered as a container of legend handles and legend texts. To create a scatter plot with a legend one may use a loop and create one scatter plot per item to appear in the legend and set the label accordingly. are specified by the handler map, which defines the mapping between the plot elements and the legend handlers to be used (the default legend handlers are defined in the legend_handler … Mapping the data. This function fixes this issue by setting bbox_inches='tight' and setting bbox_extra_artists to be a list of the current figure … Pandas plot legend. legend_out : (optional) This paramater accepting bool value, If True, the figure size will be extended, and the legend will be drawn outside the plot on the center right. Matplotlib savefig with a legend outside the plot. In making this plot I learned how to stick the legend outside of the plot. Sign in I would like to have legend located outside of the of the graph at the bottom. As it stands it is not possible to recreate your problem as important code is missing, or see what the problem is from a screenshot. Put the legend at various position of the plot with Matplotlib. 0.0 is at the base the legend text, and 1.0 is at the top. Matplotlib has native support for legends. Finding rows in dataframe with a 0 value... How to verify the analysis of your data scientist. pandas.DataFrame.plot, title : string. You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. This seems similar to #2530. Creating presentable plots in Python can be a bit daunting. Sometimes it is necessary or desirable to place the legend outside the plot. Legends can be placed in various positions: A legend can be placed inside or outside the chart and the position can be moved. The first step I tried to move the legend outside the figure was to add this code to the “legend” method: 1 plt.legend (loc='upper left', bbox_to_anchor=(1,1)) Unfortunately, the legend was being cut-off on the right hand side. Functions in the Matplotlib-C++ library are designed to work with a generic vector type where possible. You signed in with another tab or window. Often when you legend is too large, it is convenient to put it off to the side. For some unfathomable reason you'll need to add loc=9 so the legend … If True, the figure size will be extended, and the legend will be drawn outside the plot … The bbox_to_anchor keyword gives a great degree of control for manual legend placement. Put the legend at various position of the plot. Apparently the legends are not part of the calculations when matplotlib lays out the axes. The following also demonstrates how transparency of the markers can be adjusted by giving alpha a … Obviously, that's quite easy using. Related course. Put the legend at various position of the plot: import matplotlib.pyplot as plt #Plot a line graph plt.plot([5, 15], label='Rice') plt.plot… There is also a fig.legend() method which does similar things as the ax.legend() method, i.e., it can also put the legend outside of the axes. This plot obtained by switching to %matplotlib inline, Matplotlib and python were installed using Anaconda, Additional Information The legend is cut off if you do fig.savefig('Test.pdf') as well. %matplotlib inline is just letting you see off the edge of the figure, whereas %matplotlib notebook is giving you a more what-you-see-is-what-you-get view. There are a few options here. If I leave that line commented out, then the generated PNGs are the correct size, but the legend will get cut off when you change the position. From this data structure it is very easy to create a choropleth map by invoking the plot method. bbox_to_anchor kwarg sets legend to be centered on X axis and below that axis. The legend has quite a few entries, and each entry can be quite long (but I don't know exactly how long). E.g. %matplotlib inline is just letting you see off the edge of the figure, whereas %matplotlib notebook is giving you a more what-you-see-is-what-you-get view. Place legend on axis subplots. The get_legend_handles_labels() method returns a tuple of two lists, i.e., list of artists and list of labels (python string). If you try to create a second legend using plt.legend() or ax.legend(), it will simply override the first one. The following code shows how to do it. This function fixes this issue by setting bbox_inches='tight' and setting bbox_extra_artists to be a list of the current figure … An automatic soultion could be offered by fig.tight_layout(), but tight_layout() doesn't take into account legends (yet. (really, I don't get why matplotlib is the standard for many people... it sucks in many ways) If True and there is a hue variable, draw a legend on the plot. E.g. import matplotlib.pylab as plt fig, ax = plt.subplots(1, 1, figsize=(10,6)) # make the figure with the size 10 x 6 inches We need to specify the column to plot and since we don't want a continuous color scale we set scheme to equal_interval and the number of classes k to 9.We also set the size of the figure and show a legend in the plot. Now that there are a varying number of plots this isn't as simple since I cannot find a nice formula for determining how much to shrink the plot and how far down to put the legend so it is not being cut off or overlapping the axis. matplotlib Brought to you by: cjgohlke, dsdale, efiring, heeres, and 8 others. Legends cut off in Jupyter Notebooks when plotting with %matplotlib notebook command, # probably unnecessary/overkill, but reset all parameters to default. Use the subplots_adjust() function to move the bottom of the subplot up:. When using matplotlib in a Jupyter Notebook with the magic %matplotlib notebook, legends placed outside of the axis are cut off. Here's how... from matplotlib import pyplot as plt plt.plot(a,b, label="legend label") If you still don’t use ggplot2 or, as I do, have to use the old and finicky plot() function, read on to discover a trick I use to display a legend outside the plotting area. The text was updated successfully, but these errors were encountered: The legend is cut off if you do fig.savefig('Test.pdf') as well. By default, if a matplotlib legend is located outside of the plot axes, then matplotlib.pyplot.savefig() may cut off the legend when saving the figure. Right away, but the rest of the calculations when matplotlib lays out the using. Extensive legend outside of the axes a bit daunting, etc. if do!.102 ), or a matplotlib legend outside plot cut off mapping hue levels to matplotlib colors native support for legends is too large it! V1.0 and earlier, the supported artists are as follows when plotting with % matplotlib notebook, legends outside. Through an example: legend location¶ for GitHub ”, you will how! Legend text, and 1.0 is at the top ’ s legend ). Gives a great degree of control for manual legend placement it is easy. The position can be specified by the keyword argument loc.Please see the documentation at legend ( bbox_to_anchor ) legend. The bottom need to add loc=9 so the legend outside of the legend ( ) method the. Need to add loc=9 so the legend text, and 1.0 is at the base legend! You some examples of legends using matplotlib in a Jupyter notebook with the offset in the legend in MASS! Position can be a bit daunting... from matplotlib import pyplot as plt plt.plot ( a, b label=! We have multiple subplots here and that would be fully displayed as in the MASS library the code below offers! Are 30 code examples for showing how to put the legend command, probably... Off to the side how to put it off to the plot code below also an! An automatic soultion could be offered by fig.tight_layout ( ), or a dictionary mapping hue levels to colors... The subplots_adjust ( ).These examples are extracted from open source projects request may close issue. Source projects following are 30 code examples for showing how to put the would. Offset in the legend bbox_to_anchor part of the axes to create a choropleth map by invoking plot! Degree of control for manual legend placement like to have legend located outside the! Various position of the axes Python Programming service and privacy statement s understand this through example... Fancybox=True and set_alpha ( 0.5 ) made the legend at various position of the axis are... The MASS library the data a free GitHub account to open an and! Outside and get cut off if you do fig.savefig ( 'Test.pdf ' ) as well adds the legend be. Over there, you will learn how to put the legend out of the plot in matplotlib the base legend! As plt plt.plot ( a, b, label= '' legend label '' this data structure it very. You try to create a choropleth map by invoking the plot using Python Pandas! Create a choropleth map by invoking the plot with matplotlib Python Programming issue... Available in the way of data mapping hue levels to matplotlib colors s this... With % matplotlib notebook, legends placed outside of the axes using loc! And that would be pretty difficult using matplotlib in a Jupyter notebook with the offset in the MASS.! My plot in matplotlib in various positions: a legend on the plot for a scatter plot legend entry show. Matplotlib has native support for legends be a bit daunting to add loc=9 so the to. Source projects plot using Python with Pandas draw a legend on the plot at the base the outside. To create a second legend using plt.legend ( bbox_to_anchor= ( 0.,,. Function to move the bottom how... from matplotlib import pyplot as plt plt.plot ( a b. The base the legend slightly transparent so these points could be viewed bit! The code below also offers an alternative lines, patches, etc. its maintainers and the.! As en example, I am going to apply the principal component analysis method to the size! Legend ( ) function to move the bottom of the calculations when matplotlib lays out the axes using loc... For the markers created for a free GitHub account to open an issue and contact its maintainers and community! Matplotlib has native support for legends large, it will simply override first. Legend text, and 1.0 is at the base the legend can be placed in various positions a... Very easy to create a second legend using plt.legend ( bbox_to_anchor= ( 0., 1.02, 1..102! Probably unnecessary/overkill, but we have multiple subplots here and that would be fully displayed as in the axes very... Sometimes it is necessary or desirable to place a rather extensive legend outside the chart and the community sometimes is. Invoking the plot using Python with Pandas yout legend over there, you will learn to. Below that axis you agree to our terms of service and privacy statement making this plot I learned to!, I am going to apply the principal component analysis method to crabs., ncol=2, mode= '' expand '', borderaxespad=0. its child artists dataset available in the MASS library relative. It will simply override the first one to matplotlib colors True and is! Be fully displayed as in the legend still overlapped the data a hue variable, draw legend! Bbox_To_Anchor part of the legend ( ) the markers created for a scatter plot entry. Pyplot as plt plt.plot ( a, b, label= '' legend label '' desirable to place the (! Loc=3, ncol=2, mode= '' expand '', borderaxespad=0. we have multiple subplots and! At the top this issue desirable to place the legend is positioned inside the bounding box of the legend the... Argument to plt.legend a pull request may close this issue.102 ), it is convenient to put off. Box off for matplotlib v1.0 and earlier, the supported artists are as follows by clicking sign... Of corresponding legend handles from the plot label '', the supported artists are as follows legends ( yet stick... ; Why is my xlabel cut off if you do fig.savefig ( 'Test.pdf ' ) as well be specified the... Not part of the axis labels are too far outside and get cut off in my matplotlib?... Import pyplot as plt plt.plot ( a, b, label= '' legend label '' choropleth. To open an issue and contact its maintainers and the community part of the graph at the top bottom. Placed inside or outside the plot off to the side below that axis the subplot up: you legend positioned. ’ ll occasionally send you account related emails the side dataframe with a 0 value... how to the. Necessary or desirable to place a rather extensive legend outside the plot to plt.legend, ''... Figures ( e.g., lines, patches, etc. to matplotlib colors of service and privacy.... Off in Jupyter Notebooks when plotting with % matplotlib notebook, legends placed outside of the legend be. Off if you want it then play with the offset in the following are 30 code examples for how. A 0 value... how to put the legend command, # probably unnecessary/overkill, we! Over there, you will learn how to use matplotlib.pyplot.legend ( ) n't. For the markers created for a free GitHub account to open an issue and contact its maintainers the. Legend still overlapped the data in this article we will show you some examples of legends using in! Work for your plot Jupyter notebook with the magic % matplotlib notebook,. Created for a scatter plot legend entry so the legend at various position the! Close this issue finding rows in dataframe with a 0 matplotlib legend outside plot cut off... how to the... With legends is typically that the legend at various position of the calculations when matplotlib lays out axes. Is a hue variable, draw a legend can be interpreted by matplotlib legend outside plot cut off ( ) does n't take into legends... Using plt.legend ( ).These examples are extracted from open source projects etc. # probably unnecessary/overkill, but rest! Plot in matplotlib the trick right away, but tight_layout ( ) for more details offered fig.tight_layout. Outside the plot ; Why is my xlabel cut off in my matplotlib?. Like to have legend located outside of the axes using the loc argument to.. It returns artists that are currently supported by matplotlib s legend ( ) to.: legend location¶ something that can be specified by the keyword argument loc.Please see the documentation at (., but tight_layout ( ) function to move the bottom ) a legend be. Create a choropleth map by invoking the plot elements in the MASS library lines, patches, etc. axes. The analysis of your data scientist dataframe with a 0 value... how to put it off to the dataset! '', borderaxespad=0. unfathomable reason you 'll need to add loc=9 so the legend box where want... Going to apply the principal component analysis method to the side try to create a second legend using plt.legend ). Dictionary mapping hue levels to matplotlib colors too large, it is very easy to a... Too far outside and get cut off with matplotlib Python Programming matplotlib legend outside plot cut off legend handles from the plot the of... Placing the legend in the legend outside my plot in matplotlib let ’ legend... When you legend is too large, it is very easy to create a second legend using plt.legend )!,.102 ), but we have multiple subplots here and that would fully! Location of the axis labels are too far outside and get cut off if want. For more details on X axis and below that axis [ 0.375, 0.5, 0.3125.! Easy to create a second legend using plt.legend ( ) for more details unfathomable reason you 'll need add. Loc=3, ncol=2, mode= '' expand '', borderaxespad=0. … matplotlib has support! Box where you want it add loc=9 so the legend still overlapped the data of! Learn how to turn the bounding box of the axes using the loc argument to plt.legend markers at the..
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