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1. www.geeksforgeeks.org › matplotlib-pyplot-legendMatplotlib.pyplot.legend() in Python - GeeksforGeeks

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   Jan 10, 2024 · Matplotlib.pyplot.legend () function is a utility given in the Matplotlib library for Python that gives a way to label and differentiate between multiple plots in the same figure. The attribute Loc in legend() is used to specify the location of the legend.

2. stackoverflow.com › questions › 19125722python - Adding a matplotlib legend - Stack Overflow

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   Add a label= to each of your plot() calls, and then call legend(loc='upper left'). Consider this sample (tested with Python 3.8.0):

3. matplotlib.org › stable › apimatplotlib.pyplot.legend — Matplotlib 3.9.0 documentation

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   To make a legend for all artists on an Axes, call this function with an iterable of strings, one for each legend item. For example: ax.plot([1, 2, 3]) ax.plot([5, 6, 7]) ax.legend(['First line', 'Second line']) Parameters: handleslist of (Artist or tuple of Artist), optional. A list of Artists (lines, patches) to be added to the legend.

4. People also ask

   What is a legend in Matplotlib?

   • A legend is an area describing the elements of the graph. In the Matplotlib library, there’s a function called legend () which is used to place a legend on the axes. In this article, we will learn about the Matplotlib Legends. Syntax: matplotlib.pyplot.legend ( [“blue”, “green”], bbox_to_anchor= (0.75, 1.15), ncol=2) Attributes:

   Matplotlib.pyplot.legend() in Python - GeeksforGeeks

   www.geeksforgeeks.org/matplotlib-pyplot-legend-in-python/

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   How do I use a Pyplot legend?

   • A simple plot for sine and cosine curves with a legend. Used matplotlib.pyplot x.append(i/100) Add labels to each argument in your plot call corresponding to the series it is graphing, i.e. label = "series 1" Then simply add Pyplot.legend() to the bottom of your script and the legend will display these labels.

   python - Adding a matplotlib legend - Stack Overflow

   stackoverflow.com/questions/19125722/adding-a-matplotlib-legend

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   What does legend() do?

   • The colored/patterned marker to the left of each legend label. The text which describes the handle represented by the key. The original object which is used to generate an appropriate entry in the legend. Calling legend() with no arguments automatically fetches the legend handles and their associated labels. This functionality is equivalent to:

   Legend guide — Matplotlib 3.9.0 documentation

   matplotlib.org/stable/users/explain/axes/legend_guide.html

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   What is a legend docstring?

   • This legend guide extends the legend docstring - please read it before proceeding with this guide. This guide makes use of some common terms, which are documented here for clarity: A legend is made up of one or more legend entries. An entry is made up of exactly one key and one label. The colored/patterned marker to the left of each legend label.

   Legend guide — Matplotlib 3.9.0 documentation

   matplotlib.org/stable/users/explain/axes/legend_guide.html

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   How to add a legend after a plot() call?

   • Going off of OP's code where a bunch of lines were drawn with a single plot() call, we can still add a legend afterwards. With pyplot.plot, all lines are drawn on a single Axes object which can be accessed via plt.gca().lines. In the example code below, print(plt.gca().lines) outputs .

   python - Adding a matplotlib legend - Stack Overflow

   stackoverflow.com/questions/19125722/adding-a-matplotlib-legend

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   What is legendgroup & showlegend attributed?

   • Traces' legendgroup and showlegend attributed are set such that only one legend item appears per unique combination of discrete color, symbol and/or line-dash. The legend title is automatically set, and can be overrided with the labels keyword argument:

   Legends in Python - Plotly

   plotly.com/python/legend/

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5. plotly.com › python › legendLegends in Python - Plotly

   plotly.com › python › legend

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   Over 24 examples of Legends including changing color, size, log axes, and more in Python.

6. pythonspot.com › matplotlib-legendMatplotlib legend - Python Tutorial

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   Matplotlib is a versatile Python library that provides native support for creating legends in various visualizations. Understanding how to position legends, whether inside or outside a chart, can enhance data interpretation.

7. matplotlib.org › stable › usersLegend guide — Matplotlib 3.9.0 documentation

   matplotlib.org › stable › users

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   This legend guide extends the legend docstring - please read it before proceeding with this guide. This guide makes use of some common terms, which are documented here for clarity: legend entry #. A legend is made up of one or more legend entries. An entry is made up of exactly one key and one label.

8. www.useful-python.com › en › matplotlib-legendMatplotlib | Legend settings! Position, Color, Label (legend)

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   1 day ago · When drawing multiple graphs (= placing multiple Axes objects in a Figure), you can combine them into on e by adding a legend to the Figure. plt.legend() The following tabs explain how to use Axes.legend with code and flowcharts. Python code. Flowchart. # step1 Create data. x = np.linspace(0, 10, 100)