legend position matplotlib

¶. To manually position the legend on a figure, you can use the loc attribute and set it equal to a number of different values depending on where the legend to be located on the figure. To subscribe to this RSS feed, copy and paste this URL into your RSS reader. Is looking for plain text strings on an encrypted disk a good test? According the official documentation:. Bug report. To select the current figure you could use, How to specify legend position in matplotlib in graph coordinates. Also, check the following article on Python Matplotlib. Sometimes user defines labels in the plotting methods and doesn’t use the legend() method. The strategy of the OP was to position the legend outside the figure (bbox_to_anchor=(1, 0), loc="upper right",). from random import sample. As you've already noticed bbox_to_anchor specifies a tuple of coordinates (or a box) to place the legend at. Sorry - how to the bbox_to_anchor and loc keywords interact? Here we learn how to show legend in a scatter plot. Matplotlib legend on Top Stack Overflow works best with JavaScript enabled, Where developers & technologists share private knowledge with coworkers, Programming & related technical career opportunities, Recruit tech talent & build your employer brand, Reach developers & technologists worldwide. We use the matplotlib.pyplot.legend() method to mark out and label the elements of the graph. In this article we will show you some examples of legends using matplotlib. Found inside – Page 209Table 8.3 Different legend positions. String Numeric Code best 0 ... 'best' means that matplotlib will try to choose the position on your plot where the legend will interfere least with what is plotted (i.e., avoid overlaps, etc.). Therefore, when specifying bbox_to_anchor, always specify loc as well. Below is an example where the bounding box is set to position (0.6,0.5) (green dot) and different loc parameters are tested. Default Scatter Plot — Image by the author, made with Python. Here we set its positions to the lower right. We first make the scatterplot with legend as . Legend is an area that outlines the elements of the plot. Connect and share knowledge within a single location that is structured and easy to search. Found inside – Page 1606.1.1 Setting Defaults You can set the defaults for plotting using rcParams dictionary >>> import matplotlib >>> matplotlib.rcParams['lines.linewidth']=2.0 # all plots with have ... 6.2) and loc indicates the position of the legend. Line number 11, bar () function plots the Happiness_Index_Female on top of Happiness_Index_Male with the help of argument bottom=Happiness_Index_Male. For example, to set the legend box to the right of the plot area: import numpy as np import matplotlib.pyplot as plt # generate random data for plotting x = np.linspace(0.0,100,50) y2 = x*2 y3 = x*3 y4 = x*4 y5 = x*5 # plot 5 lines in the axes plt.plot(x,y2,label='y=2x') plt.plot(x,y3,label='y=3x') plt.plot(x,y4,label='y=4x') plt.plot(x,y5 . Python seaborn scatter plot legend outside, Python Matplotlib tick_params + 29 examples, In the above example, to add a legend in the plot we use, In the above example, we plot a scatter graph by using the, In the above example, we use defined color data, and then we use the. But maybe I am getting something else wrong? To add a title we have to pass the title as an argument to the legend() method and we can also set the size of the title by passing title_fontszie as a parameter. How to position and align a matplotlib figure legend? By clicking “Accept all cookies”, you agree Stack Exchange can store cookies on your device and disclose information in accordance with our Cookie Policy. Explained in simplified parts so you gain the knowledge and a clear understanding of how to add, modify and layout the various components in a plot. Education 1 hours ago Matplotlib has native support for legends. I think what confuses me is that the legend does not actually start at 0.82, and indeed for my larger plot (with 5 subplots of this type), I need to use legend coordinates bbox_to_anchor=(0.04, 1.15, 1., .102) in order to make the legend appear on coordinates (0.02, 0.83). Loop over the arrays (xs and ys) and call plt.annotate (<label>, <coords>): import matplotlib.pyplot as plt import numpy as np plt.clf() # using some dummy data for this example xs = np.arange(0,10,1) ys = np.random.normal(loc=3, scale=0.4, size=10) plt.bar(xs,ys) # zip joins x and y coordinates in pairs for x .

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