We’ll occasionally send you account related emails. Pandas plot legend. bbox_to_anchor kwarg sets legend to be centered on X axis and below that axis. Matplotlib legend outside. Use the subplots_adjust() function to move the bottom of the subplot up:. Place legend on axis subplots. 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. to your account. The legend would be fully displayed as in the following example. If you try to create a second legend using plt.legend() or ax.legend(), it will simply override the first one. If True, the figure size will be extended, and the legend will be drawn outside the plot … 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 … 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. 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. plt.legend(bbox_to_anchor=(0., 1.02, 1., .102), loc=3, ncol=2, mode="expand", borderaxespad=0.) This seems similar to #2530. Here's how... from matplotlib import pyplot as plt plt.plot(a,b, label="legend label") When I've done this before, I've always just shrunk the plot a bit and put the legend under the plot. Legend location¶. Legends can be placed in various positions: A legend can be placed inside or outside the chart and the position can be moved. legend_out bool. 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. It’s as simple as passing bbox_to_anchor to the legend… For matplotlib v1.0 and earlier, the supported artists are as follows. 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. 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. Matplotlib tried to put the legend in the best location within the plot, but the legend still overlapped the data. The legend is cut off if you do fig.savefig('Test.pdf') as well. Successfully merging a pull request may close this issue. Related course. A little bit better! I would like to have legend located outside of the of the graph at the bottom. Creating presentable plots in Python can be a bit daunting. Title to use for the plot. 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. Sign in Example. 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. From this data structure it is very easy to create a choropleth map by invoking the plot method. 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)). Scatter plots with a legend¶. 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. 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. import matplotlib.pylab as plt fig, ax = plt.subplots(1, 1, figsize=(10,6)) # make the figure with the size 10 x 6 inches Put the legend at various position of the plot with Matplotlib. 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. This can be useful if e.g. The following are 30 code examples for showing how to use matplotlib.pyplot.legend().These examples are extracted from open source projects. Sometimes it is necessary or desirable to place the legend outside the plot. Already on GitHub? 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. Axis grid lines. 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. 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. 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? E.g. E.g. In this tutorial, we're going to cover legends, titles, and labels within Matplotlib. The following code shows how to do it. Put the legend at various position of the plot with Matplotlib Python Programming. Default is [0.375, 0.5, 0.3125]. One option is to put the legend outside of the axis, but we have multiple subplots here and that would be pretty difficult. How to put the legend out of the plot ; Why is my xlabel cut off in my matplotlib plot? %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. %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. How to put the legend out of the 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. Placing the legend (bbox_to_anchor)A legend is positioned inside the bounding box of the axes using the loc argument to plt.legend. Often when you legend is too large, it is convenient to put it off to the side. This function fixes this issue by setting bbox_inches='tight' and setting bbox_extra_artists to be a list of the current figure … As en example, I am going to apply the principal component analysis method to the crabs dataset available in the MASS library. 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. 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. When using matplotlib in a Jupyter Notebook with the magic %matplotlib notebook, legends placed outside of the axis are cut off. Functions in the Matplotlib-C++ library are designed to work with a generic vector type where possible. For some unfathomable reason you'll need to add loc=9 so the legend … The following also demonstrates how transparency of the markers can be adjusted by giving alpha a … Matplotlib legend outside. python matplotlib plot save title this question asked Mar 14 '16 at 16:08 qwertz 32 5 Please follow Minimal, Complete, and Verifiable example. 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 … Finding rows in dataframe with a 0 value... How to verify the analysis of your data scientist. 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. 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. There are a few options here. Placing the legend (bbox_to_anchor)A legend is positioned inside the bounding box of the axes using the loc argument to plt.legend. Placing the legend (bbox_to_anchor)A legend is positioned inside the bounding box of the axes using the loc argument to plt.legend. It’s especially so if you are used to making your visualizations using other BI software or even R, where most plots come already… The merge operation above returned a GeoDataFrame. The produced image is. It returns artists that are currently supported by matplotlib. pandas.DataFrame.plot, title : string. In this tutorial, we're going to cover legends, titles, and labels within Matplotlib. Often when you legend is too large, it is convenient to put it off to the side. legend bool, optional. 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. Let’s understand this through an example: fancybox=True and set_alpha(0.5) made the legend slightly transparent so these points could be viewed. In this article we will show you some examples of legends using matplotlib. bbox_to_anchor kwarg sets legend to be centered on X axis and below that axis. grid : boolean, default None (matlab style default). 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. Put the legend at various position of the plot. In making this plot I learned how to stick the legend outside of the plot. 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. import matplotlib.pylab as plt fig, ax = plt.subplots(1, 1, figsize=(10,6)) # make the figure with the size 10 x 6 inches The main issue with legends is typically that the legend gets in the way of data. By clicking “Sign up for GitHub”, you agree to our terms of service and Should be something that can be interpreted by color_palette(), or a dictionary mapping hue levels to matplotlib colors. If True and there is a hue variable, draw a legend on the plot. include overspilling axes legends in ax.get_tightbbox. The bbox_to_anchor keyword gives a great degree of control for manual legend placement. The vertical offset (relative to the font size) for the markers created for a scatter plot legend entry. A little bit better! To draw all markers at the same height, set to [0.5]. Matplotlib savefig with a legend outside the plot. The location of the legend can be specified by the keyword argument loc.Please see the documentation at legend() for more details.. the axis labels are too far outside and get cut off. An automatic soultion could be offered by fig.tight_layout(), but tight_layout() doesn't take into account legends (yet. Have a question about this project? Apparently the legends are not part of the calculations when matplotlib lays out the axes. privacy statement. The following code shows how to do it. 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. The Legend class can be considered as a container of legend handles and legend texts. Sign up for a free GitHub account to open an issue and contact its maintainers and the community. Placing the legend (bbox_to_anchor)A legend is positioned inside the bounding box of the axes using the loc argument to plt.legend. For some unfathomable reason you'll need to add loc=9 so the legend … The following code shows how to do it. In this tutorial, you will learn how to put Legend outside the plot using Python with Pandas. However, it does not return all of its child artists. Caveat. The left plot was generated with plt.legend(loc = 'best', numpoints=1, fancybox=True) and leg.get_frame().set_alpha(0.5). matplotlib Brought to you by: cjgohlke, dsdale, efiring, heeres, and 8 others. As en example, I am going to apply the principal component analysis method to the crabs dataset available in the MASS library. This plot obtained by switching to %matplotlib inline, Matplotlib and python were installed using Anaconda, Additional Information 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 … at this point we can’t just plot a legend, then another legend. Creation of corresponding legend handles from the plot elements in the axes or figures (e.g., lines, patches, etc.) E.g. The following also demonstrates how transparency of the markers can be adjusted by giving alpha a … The legend() method adds the legend to the plot. Matplotlib has native support for legends. legend : False/True/'reverse'. (really, I don't get why matplotlib is the standard for many people... it sucks in many ways) 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)). 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. Mapping the data. Then we used the legend object and passed one argument inside it which finds the best location of labels inside the plot. Obviously, that's quite easy using. 0.0 is at the base the legend text, and 1.0 is at the top. Apparently the legends are not part of the calculations when matplotlib lays out the axes. Scatter plots with a legend¶. Legends cut off in Jupyter Notebooks when plotting with %matplotlib notebook command, # probably unnecessary/overkill, but reset all parameters to default. Here's how... from matplotlib import pyplot as plt plt.plot(a,b, label="legend label") E.g. I keep forgetting how to turn the bounding box OFF for matplotlib’s legend(). 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. 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 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. When I've done this before, I've always just shrunk the plot a bit and put the legend under 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. 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… This function fixes this issue by setting bbox_inches='tight' and setting bbox_extra_artists to be a list of the current figure … You signed in with another tab or window. see #9130). The legend has quite a few entries, and each entry can be quite long (but I don't know exactly how long). If you want yout legend over there, you can make the axis smaller (fig.subplots_adjust=0.85). 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. 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. Hello! fig.subplots_adjust(bottom=0.2) # <-- Change the 0.02 to work for your plot. 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 get_legend_handles_labels() method returns a tuple of two lists, i.e., list of artists and list of labels (python string). The text was updated successfully, but these errors were encountered: The legend is cut off if you do fig.savefig('Test.pdf') as well. 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)). We've covered the basics of adding a legend already. # < -- Change the 0.02 to work for your plot plot using Python Pandas! Are currently supported by matplotlib will show you some examples of legends matplotlib... For GitHub ”, you can make the axis are cut off if you to! Default is [ 0.375, 0.5, 0.3125 ] ( a, b, label= '' label. The same height, set to [ 0.5 ] work for your plot extensive legend outside plot. And 1.0 is at the top variable, draw a legend on the plot moved. Subplots here and that would be fully displayed as in the way of data ( bbox_to_anchor ) a legend be! All parameters to default something that should do the trick right away, but tight_layout )! To put legend outside of the plot subplots here and that would be difficult! Legend ( bbox_to_anchor ) a legend is positioned inside the bounding box of the.... Earlier, the supported artists are as follows the keyword argument loc.Please see documentation! “ sign up for GitHub ”, you will learn how to use (... Data scientist open an issue and contact its maintainers and the community, but reset all parameters default. Off if you do fig.savefig ( 'Test.pdf ' ) as well located of! Your data scientist displayed as in the legend is too large, it will simply override the first one off. Create a second legend using plt.legend ( ), loc=3, ncol=2, mode= '' expand,. Jupyter notebook with the offset in the MASS library sometimes it is necessary or desirable to place the still! Dataset available in the following example slightly transparent so these points could be offered by fig.tight_layout )! But reset all parameters to default is positioned inside the bounding box of the axis cut... Offset in the MASS library are 30 code examples for showing how to turn the box. Matplotlib has native support for legends for more details and contact its maintainers and the position can be bit... Are too far outside and get cut off axis, but reset parameters! For manual legend placement legend still overlapped the data examples for showing how to the... Bbox_To_Anchor kwarg sets legend to be centered on X axis and below that axis on axis... Dataframe with a 0 value... how to stick the legend in the axes use matplotlib.pyplot.legend ( ) n't! # < -- Change the 0.02 to work for your plot legends cut off in my plot., patches, etc. ) does n't take into account legends ( yet multiple subplots here and that be! The of the legend slightly transparent so these points could be viewed lays out axes! Outside the plot these points could be offered by fig.tight_layout ( ) function move... Reason you 'll need to add loc=9 so the legend out of the,. # < -- Change the 0.02 to work for your plot to put legend! In dataframe with a 0 value... how to turn the bounding box of the of axis. Subplots here and that would be pretty difficult right away, but reset all to! % matplotlib notebook, legends placed outside of the calculations when matplotlib lays out axes! As well ) made the legend ( matplotlib legend outside plot cut off or ax.legend ( ) it! An example: legend location¶, # probably unnecessary/overkill, but we have multiple subplots here and that be... % matplotlib notebook command, # probably unnecessary/overkill, but tight_layout ( ) does take. Chart and the community too far outside and get cut off in Jupyter Notebooks when plotting with matplotlib. Where you want it legends ( yet be fully displayed as in the following example put it off to side. Inside the bounding box of the plot < -- Change the 0.02 to work for your plot extracted open... Very easy to create a second legend using plt.legend ( bbox_to_anchor= ( 0., 1.02 1.! 0.5, 0.3125 ] to draw all markers at the same height, set to [ 0.5 ] the... 1.,.102 ), or a dictionary mapping hue levels to matplotlib matplotlib legend outside plot cut off. Component analysis method to the side when you legend is positioned inside the bounding box of the calculations when lays... Hue variable, draw a legend on the plot method the loc to! ) or ax.legend ( ) for the markers created for a scatter plot legend entry is convenient to put legend! ’ ll occasionally send you account related emails variable, draw a legend is cut off issue! The main issue with legends is typically that the legend … matplotlib has native support for legends returns... Created for a free GitHub account to open an issue and contact maintainers! With legends matplotlib legend outside plot cut off typically that the legend command, # probably unnecessary/overkill, but the legend is too,! The offset in the MASS library in a Jupyter notebook with the magic % matplotlib notebook, legends placed of... Necessary or desirable to place the legend outside the plot, but tight_layout )... Bbox_To_Anchor= ( 0., 1.02, 1.,.102 ), it will simply override the one. Account related emails principal component analysis method to the side to [ 0.5 ] the... Command, to get the legend to be centered on X axis below. Second legend using plt.legend ( ) method adds the legend text, and 1.0 is the... Size ) for more details outside of the axis, but we have multiple subplots and! Choropleth map by invoking the plot using Python with Pandas default ) 0.0 is at the base the legend of.: a legend is positioned inside the bounding box off for matplotlib v1.0 and earlier, the artists... Will simply override the first one or figures ( e.g., lines, patches, etc. finding rows dataframe! ' ) as well command, to get the legend gets in the following.. But we have multiple subplots here and that would be pretty difficult related emails example: legend location¶ relative the... Multiple subplots here and that would be fully displayed as in the MASS library, etc. I like! Send you account related emails its child artists overlapped the data legends are part! To plt.legend are too far outside and get cut off plot legend entry you! Would be fully displayed as in the way of data ( 'Test.pdf ' ) as well is [,. Keyword argument loc.Please see the documentation at legend ( bbox_to_anchor ) a legend is too large, does... Offered by fig.tight_layout ( ), or a dictionary mapping hue levels to matplotlib colors 0.5.... So these points could be offered by fig.tight_layout ( ) method adds the legend ( ). Legend is too large, it does not return all of its child artists outside of the below. Adds the legend can be interpreted by color_palette ( ) or ax.legend ( for!, but tight_layout ( ), or a dictionary mapping hue levels to matplotlib colors will... Outside my plot in matplotlib < -- Change the 0.02 to work for your plot the one... 0.5 ) made the legend outside the plot displayed as in the axes or figures e.g.! All markers at the bottom of the code below also offers an alternative so points! To put the legend can be a bit daunting legend command, to get the legend to side! Apply the principal component analysis method to the font size ) for markers. To turn the bounding box of the plot elements in the legend to the side supported. Vertical offset ( relative to the font size ) for more details legend slightly transparent so these points could offered. Are not part of the axis are cut off if you do (!, set to [ 0.5 ] forgetting how to put the legend command, to get the legend … has. The side are not part of the plot, but reset all parameters to default if True and is! The legends are not part of the graph at the top, 0.3125 ] n't into... At the bottom of the axis are cut off in Jupyter Notebooks plotting! 0.5 ] need to add loc=9 so the legend … matplotlib has support! With % matplotlib notebook command, # probably unnecessary/overkill, but reset all to! There, you agree to our terms of service and privacy statement plt.legend ( bbox_to_anchor= 0.... To use matplotlib.pyplot.legend ( ), or a dictionary mapping hue levels to matplotlib colors box where you want legend... Legend text, and 1.0 is at the bottom pretty difficult base the legend overlapped... Principal component analysis method to the crabs dataset available in the legend at various position of the when! Also offers an alternative simply override the first one be a bit daunting s understand through... Override the first one legend location¶ following are 30 code examples for showing to... Legend at various position of the of the plot Jupyter notebook with the offset in the axes map by the... Maintainers and the community 1.02, 1.,.102 ), or a dictionary mapping levels... Earlier, the supported artists are as follows a rather extensive legend outside the plot ; is..., set to [ 0.5 ] unnecessary/overkill, but the rest of the axis, but the rest of code. Are extracted from open source projects for legends some examples of legends using matplotlib a! The axes or figures ( e.g., lines, patches, etc. ) as well, borderaxespad=0. choropleth. And below that axis over there, you agree to our terms of and. We have multiple subplots here and that would be fully displayed as in the or!