Ax legend matplotlib python

Ax legend matplotlib python. sin(x) fig, ax = plt. colorbar method but optional for the pyplot. Changing the scale of an axis is easy: plt. legend(patches, labels, ) #legend alone in the figure plt. gca(). legend_handler import HandlerLineCollection, HandlerTuple from matplotlib. import numpy as np from mpl_toolkits. You can get a list of them using ax. legend() using the option bbox_inches='tight', the legend may not be present in the generate image file. mplot3d import Axes3D. scatter(x, y, z, label='parametric curve 2',marker = 'o') ax. Here is a working example: from matplotlib import pyplot as plt. Adding the legend works correctly, but as the number of legplots that I have (and their name lengths) vary, as you animate the plots, the legend grows and shrinks in size. data = np. set_picker (pickradius) # Enable picking on the legend line. ) described by this colorbar. 0 is at the top. linspace(-10, 10, 100) ax. bar # May 27, 2020 · Matplotlib – Axes Class. The only difference to the example given in the guide is you want to set linestyle='None'. set_title('Plot with Different Marker size, matplotlib and plotly') plotly_fig plt. 凡例は、 bbox_to_anchor を使用して Matplotlib のプロットの外側に配置できます。. It's basically using a list of legend handles to make one of the markers of the first handle invisible and overplot it with the marker of the second handle. fontweight' is not a valid rc parameter" Apr 20, 2015 · The legend demo in the matplotlib gallery subtly shows both of these -- note that the original reset the font size and got access to the frame Rectangle (to change the color). 0) and the rectangle frame is heavier: Jan 23, 2018 · There is also a fig. import seaborn as sns. Mar 23, 2019 · Add legend to plot. Use fmt='none' to draw errorbars without any data markers. 1) y1 = np. 1 onwards, you may use a figure legend. rand(2, 100) * 4. arange (0. Rectangle((0, 0), 1, 1, fc='red', label='some label') and then adding the proxy to the axis' patches: ax. Then make sure to omit the first handle which, as shown matplotlib. x, y define the data locations, xerr, yerr define the errorbar sizes. The matplotlib. Doing so may require to set the labelspacing to a small number, in order not to make the legend appear too big. FuncAnimation is more efficient in terms of speed and matplotlib. Also, if you are using scatter plots, use scatterpoints=1 rather than numpoints=1 in the legend call to have only one point for each legend entry. 2. Add a colorbar to a plot. legend (bbox_to_anchor= (x,y)) Example 1: Matplotlib set legend upper-left outside the plot. lines import Line2D t1 = np. The attribute Loc in legend() is used to specify the location of the legend. subplots ax. The facecolor is the main color and the edgecolor is, you guessed it, the color around the edge of the box. subplots() ax. figure() # create the canvas for plotting. This is done by creating a twinx axes, turning all spines but the right one invisible and offset its position using set_position. legend(facecolor='white', framealpha=1) will give your legend a white background without transparency. collections as mcol from matplotlib. pyplot supports not only linear axis scales, but also logarithmic and logit scales. update({'legend. From seaborn, get the Axes object created by sns. Mar 14, 2012 · Here's a simple example of how to do it: import numpy as np import matplotlib. 7, 1. I've come up with a nice modular chunk of code that you can drop in and use here it is: class DraggableLegend: def __init__(self, legend): Create multiple y axes with a shared x-axis. The type-specific children sublists were made immutable in Matplotlib 3. Now let's say I want it in the top right; I would do. legend via the prop parameter: import matplotlib. plot(np. legend() This returns the following error: No handles with labels found to put in legend. pi) y1 = np. This would look like. 7. show(). You can use textwrap. hist. Jan 18, 2016 · y = r * np. 5, 0. From matplotlib version 2. Markers are automatically accurate. subplot() #create the axes ax. In the picture above, the Axes object was created with ax = fig. 0) ax. legend(), you will get the following: import matplotlib. show() ( Source code, 2x. This code: from mpl_toolkits. 05) The drawback of this method, as can be seen in the picture, is that the lines shift upwards compared to the text's Using the scatter method of the matplotlib. legend(handles2, labels2) plt. pyplot as plt. legend() legend. FuncAnimation; matplotlib. We can pass in an ordered list of items that our legend should contain. # create some data. Default is None, which will take the value from rcParams["legend. wrap in order to adjust your legend entries (found in this answer ), then update them in the call to ax. # some data. get_legend_handles_labels() . legend() to work without requiring users to pass any handles, which can be achieved by passing the label on to the proxy. Here is the code. lines, ax. legend. 08), ) This works, except that the legend is left aligned so that loc specifies the left edge/corner of the legend box and not the center. , it can also put the legend outside of the axes. This guide makes use of some common terms, which are documented here for clarity: legend entry. Apr 27, 2014 · This means you will end up only having one entry in your legend. semilogy. legend(bbox_to_anchor=(0, 0, 1, 1), bbox_transform=lax. But I want my legend to have only two entries. But that's not the case here since the legend overlaps with one of the dots. Dec 15, 2019 · plt. fig = plt. sharex, shareybool or {'none', 'all', 'row', 'col'}, default: False. 0, 2. patches += [proxy] (do ax = plt. pyplot as plt np. Feb 21, 2016 · What is the best way to specify the font weight for a matplotlib legend? I can use: matplotlib. class matplotlib. randn ( N , 100 )) . scatter([0. Python3. A list of labels which are strings. fontsize':12}) to set the font size but when I use . Apr 20, 2011 · Here is a more complex example of legend removal and manipulation with matplotlib and seaborn dealing with subplots:. Animation; matplotlib. The goal is to compare the results of the different algori May 10, 2017 · Legend guide. geomspace ( 1 , 10 , 100 ) + np . In order to get the legend you want you need to set the handles and the labels. Here is a simple code that creates two legends and combine them into one. Parameters: datasetArray or a sequence of vectors. This is because dicts can't have duplicate keys. legend()の使い方」「引数で位置や見た目を簡単に設定する方法」を紹介していきます。 Nov 22, 2021 · The newest version of matplotlib (>=3. Jul 28, 2013 · In principle, you can change "ncol" within a legend by manually rearranging these offsetboxes. fig, ax = plt. legend() should ostensibly be reading that. Line2D object at 0x000001B26EB57370> has a label of 'nolegend' which cannot be automatically added to the legend. figure(figsize=(6,4)) Make a violin plot for each column of dataset or each vector in sequence dataset. In the code below I've used random values rather line, = ax. Nov 4, 2017 · Pass the FontProperties object (such as font below) to ax. cos(x) # plot sin(x) and cos(x) p1 = plt. How close the click needs to be to trigger an event. sns. You can remove duplicate labels by putting them in a dictionary before calling legend. legend(handles=[l1, l2], bbox_to_anchor=(0. The rest of the figure draws fine; it's just missing the legend. histogram. plot(x, y, z, label='parametric curve 2') ax. legend(loc='best', title="My Awesome Legend Title", prop=dict(family='monospace'), title_fontproperties=dict(family='monospace')) Side note: If you are using the monospace font only to align "#1" and "#2" then you might be able to achieve this with latex, without the need for a different font family: import matplotlib. <some_plot>() and do ax. If False, legend marker is placed to the right of the By default, Matplotlib automatically generates a legend that correctly reflects the colors and labels we passed. The following also demonstrates how transparency of the markers can be adjusted by giving alpha a value between 0 and 1. subplots(nrows=2, ncols=2) # facecolors to choose. subplots() . 05, 1) の位置に配置されます。. set_xticks(ind+width/2) to place the tick positions directly underneath your bars, I have then set these labels using your lab list with ax. This argument is mandatory for the Figure. Oct 10, 2013 · And, get_legend_handles_labels() returns all artists in ax. show() Now I will add that it would be clearer if you just use a single legend adding all the lines to that. Dec 7, 2016 · Assume that ax is the main axes, and that legplots and legnames are lists of scatter plots and their appropriate labels respectively. Make a plot with log scaling on the y-axis. artist. markerfirst: bool. A legend is made up of one or more legend entries. Nov 28, 2018 · One line is for values that are False (shown as 0 on the legend above), the other for values that are True (shown as 1 on the legend above). xscale('log') An example of four plots with the same data and different scales for the y-axis is shown below. from textwrap import wrap. Not sure what would be the best way to expose this. The bins, range, density, and weights parameters are forwarded to numpy. 0 Notes. This method uses numpy. Sep 13, 2020 · I am trying to set the font weight ( bold or italics ) of the legend box title as shown in the following graph. legend() method which does similar things as the ax. transAxes) lax. set (xlim = (0, 8), xticks = np. set_linewidth(3. Dec 17, 2021 · When I ran your code the legend was there, but it was behind and slightly above the plot, and then cut off when plt. subplots() for i in range(1, 6): Jan 5, 2020 · The relative size of legend markers compared with the originally drawn ones. matplotlib; matplotlib. Output : We can see that there is no legend in the above figure. These parameters are both optional defaulting to plt. savefig() is called. Mar 11, 2023 · It works if I rename the dataframe columns as 'nolegend' before running df. markerscale"] (default: 1. But, I couldn't figure out a way to change the font weight. If True, legend marker is placed to the left of the legend label. legend. collection which are instance of LineCollection or RegularPolyCollection. savefig() and the following to move the legend. But, if you try to save the figure with its legend produced by fig. random . 0) # make a legend for both plots leg = plt. legend(bbox_to_anchor=(0,0)) gives this -. legend(title="Line", loc='upper left', reverse=True) The default is reverse=False (the previous behaviour)—setting it to reverse=True will now show the entries in the legend in the same order as the stacked bars. set_facecolor('blue') answered Jul 17, 2019 at 20:34. Of course, this needs some knowledge of matplotlib internals and will be difficult for normal users. transpose(final_z_scores) fig = plt. 0, 0. Pass a list with a single element to have a single legend: If we change inside padding with borderpad=2, we'll make the overall legend box larger (the units are multiples of the font size, similar to em ): import matplotlib. legend(, loc=(axbox. subplot() if you want to add the subplots separately. I was able to get it to work with the bbox_inches='tight' argument of plt. Compute and plot a histogram. x = np. annotate to label certain parts of the picture. png, png) If a plot does not show up please check Troubleshooting. remove () method, legend can be removed from figure in matplotlib. It is unlikely that you would ever create a Legend instance manually. ArtistAnimation: Generate a list (iterable) of artists that will draw in each frame in the animation. I am using imshow() in matplotlib like so: import numpy as np import matplotlib. Similarly for y=0 and y=1 along the height of the plot, where y=0 is the bottom, and y=1 is the top. legend(loc=(x, y)) to set the legend's lower left corner to the specified (x, y) position. In addition, Matplotlib also reflects the different markers in the ax. add_subplot(111) x = [0,2,4,6,8,10] y = [0]*len(x) s = [100, 400, 490, 600, 240, 160] # Specifies marker size ax. Example: Python3. append(ax. This is described in this SO post and in the code above can easily be achieved with. remove() as indicated by @naitsirhc. At least if you add plt. Parameters: mappable. fig. It returns only the axis of one subplot. Sadly, my googling has not uncovered an answer : matplotlib; matplotlib. legend([p1, p2], ['sin(x)', 'cos(x)'], loc=1) # set the linewidth of each Feb 28, 2016 · To get legends with the actual color of the lines, you can either change the initial setting lines to: or add a line. pyplot, plt. 7) now provides this feature out of the box: plt. legend(), which produces a legend with the handles from the axes ax, one can create a figure legend. sin(x)/x, label='Mexican hat') Jan 10, 2024 · Matplotlib. linspace (0, 10, 100) y = 4 + 2 * np. 1 with Python 2. tools as tls fig = plt. It places the legend on bottom left corner. This is commonly used if data spans many orders of magnitude. Using the ncol argument inside plt. . get_legend (). animation. cm. 0, 1. get_lines (), lines): legend_line. legend() which allows us to create a legend. Note that the x and y coordinates here are relative, meaning that x=0 is the left most point in the plot and x=1 is the rightmost point in the plot. arange(0, 10, 0. In the future these artist lists may be replaced by tuples. Let’s add it now: # Adding a Legend to Our Axes ax. Both these seem to work as expected. #do patches and labels ax. Nov 1, 2017 · 15. legend() method, i. legend(fontsize='xx-large', ncol=2,handleheight=2. ran Draw a first plot #. pyplot Jan 28, 2019 · You can get 1 pixel sized markers for a plot by setting the markersize to 1 pixel. get_legend_handles_labels(). pyplot as plt # make some data x = np. set_label() to the for loop in the init() function. If False, legend marker is placed to the right of the The relative size of legend markers compared with the originally drawn ones. 0) p2 = plt. plot(x, y2, 'r-', linewidth=1. Usually, it also places the legend in a good place. x0+0. pyplot module should work (at least with matplotlib 1. ArtistAnimation Nov 6, 2022 · ax. 0 is at the base the legend text, and 1. Go to the end to download the full example code. Axes. add_artist(first_legend) # Add the second legend as usual. patches as mpatches. scatter(x,y,s=s) ax. linspace(0, 10, 100) fig, ax = plt. arange (1, 8)) plt . plot(x, y1, 'b-', linewidth=1. font_manager as font_manager. cos(x) # plot of the data. pi, 200) y = np. You can change both the facecolor and edgecolor of a legend using those keyword arguments in the function call. 0). set (*, adjustable=<UNSET>, agg_filter=<UNSET>, alpha=<UNSET>, anchor=<UNSET>, animated=<UNSET>, aspect=<UNSET>, autoscale_on=<UNSET matplotlib. from matplotlib. Note. fig, axes = plt. arange (1, 8), ylim = (0, 8), yticks = np. 0. ScalarMappable (i. Add one next-to-last line: legend. legend(['Computer Sales', 'TV Sales']) plt. Most users would normally create a legend via the legend function. legend () in Python. plt. 01) fig, ax = plt. rcParams. Mar 28, 2020 · So in order to have the legend be automatically populated in your example you simply need to assign labels to the different plots: import pandas as pd. This way, you have both markers next to each other with one label. import random. pyplot as plt ax = plt. legend() if leg: leg. ArtistAnimation Oct 6, 2012 · I have a plot where different colors are used for different parameters, and where different line styles are used for different algorithms. Instead of ax. ¶. set# Axes. gca() to get the current axis) Create a figure and a set of subplots. The label attributes (returned by get_label() method) of collected artists are used as text labels. import matplotlib. python. draggable() will work as expected. Plot y versus x as lines and/or markers with attached errorbars. show() How do I add a legend showing the numeric value for the different shades of gray. width, axbox. proxy = plt. ax2. Dec 11, 2015 · Thus, instead of getting 5 repeated green, then 5 repeated red, 5 repeated blue then 2 other, I get 5 -4 -4 -4 (where I would have prefered 5 - 5 - 5 - 2) You can clearly see this in attached image. CS_elem,_ = CS. 5*axbox. An Axes typically has a pair of Axis Artists that define the data coordinate system, and include methods to add annotations like x- and y-labels, titles, and legends. In the 'picture' I use plt. pyplot as plt import random def fun Mar 16, 2020 · Matplotlib Legend Color. I have used ax. legend () Noter Des artistes spécifiques peuvent être exclus de la sélection automatique des éléments de légende en utilisant une étiquette commençant par un trait de soulignement, "_". Each filled area extends to represent the entire data range, with optional lines at the mean, the median, the minimum, the maximum, and user-specified quantiles. The number of marker points in the legend when creating a legend entry for a PathCollection (scatter plot). legend takes as parameters. Dec 23, 2021 · Matplotlib provides an ax object method, . 5],c='r',marker='s') Mar 29, 2010 · Note: This is now built into matplotlib. Mar 11, 2012 · If you want to fine tune the needed space, you may want to look at the add_axes method of matplotlib. matplotlib. Note that the argument is a list of legends. A list of axis handles which are Artist objects. mplot3d import Axes3D import matplotlib. fontweight':'bold'} It complains that "'legend. See Axes. Matplotlib is one of the Python packages which is used for data visualization. Feb 1, 2021 · In order to remove the legend, there are four ways. Strings can be 'top' or 'bottom' for orientation='x' and 'right' or 'left' for orientation='y'. All the concepts and parameters of plot can be used here as well. #. Using a separate Line2D object (see here) you can make the line in the legend solid even though the plotted line is dashed. set_edgecolor('1. pyplot as plt import numpy as np x = np. random. y0-0. The default value of loc is loc= “best” (upper If you simply plot the lines and call ax. Scatter plots with a legend# 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. legend(ncol=k) Here, k is the number of columns the legend should have in the graph. The position to put the secondary axis. imshow(mat, origin="lower", cmap='gray', interpolation='nearest') plt. pyplot as plt import numpy as np plt. That's really easy I could live with this solution, applying some external tool like pdfcrop to the result. Note that this approach uses matplotlib. The additional parameters base, subs, and nonpositive control the y-axis properties. cos(theta + 1) ax. legend(CS_elem, ['-X**2 - Y**3'], loc='lower left', framealpha=1) frame = leg. lines import Line2D. remove () Example 1: By using ax. Jan 30, 2023 · Matplotlib で凡例をプロットの外側に配置する方法. Below is a rapid example: import matplotlib. Further reading and notes: Consider the Matplotlib legend guide with some examples of other stuff you want to do with legends. 1) t2 = np. 0. markerfirst bool. Using matplotlib. This legend guide is an extension of the documentation available at legend() - please ensure you are familiar with contents of that documentation before proceeding with this guide. leg = plt. ratios = ['Share Price', 'PEG', 'Price to Sales'] final_z_scores = np. scatteryoffsets iterable of floats, default: [0. rc solution given changes the default font for all drawing. get_frame() frame. legend() plt. Alternative approaches using non-standard axes are shown in the Parasite Axes demo and Parasite axis You can set the edge color and the face color separately like this: There's more information under FancyBboxPatch here. markersize=10, label='Blue stars') markersize=10, label='Red squares') markersize=10, label='Purple triangles') in matplotlib, "markers" are just Jul 26, 2012 · import matplotlib. legend(handles, labels, loc Sep 14, 2014 · ax2. This is a bug of Matplotlib. 凡例は、座標軸の (1. get_frame(). legend() would change the font size. Everything else on the figure was created with methods on this ax object, or can be accessed from it. histogram to bin the data in x and count the number of values in each bin, then draws the distribution either as a BarContainer or Polygon. (0, 0) は左下隅、 (1. lines. legend([list-of-titles]). sin (2 * x) # plot fig, ax = plt. Well, I found bits and pieces of the solution scattered among mailing lists. legend documentation. Number of rows/columns of the subplot grid. Stacked bars can be achieved by passing individual bottom values per bar. markerscale"] = 1. You can explicitly tell ax. pyplot as plt import numpy as np import matplotlib. plotly as py import plotly. seed(23) df = pd. Feb 26, 2015 · I am using Matplotlib to basically draw a 'picture', not for plotting data. get_legend(). Of course, it Jun 27, 2018 · 6. Mar 28, 2017 · An alternative to making the box smaller is to remove the outline of the box using something like. Nevertheless, you can try the following solution as suggested in this answer. subplots(2,1) Whereas, you can use plt. axis("off") In this approach, we do not need to obtain the legend handles externally, but we need to specify the bbox_to_anchor argument. So in that case, create legend labels list legends, append the plots into another list elements and use list comprehension to put a legend for each of them: elements. map_legend_to_ax [legend_line] = ax_line def on_pick (event): # On the pick event, find the original line corresponding to the legend # proxy line, and toggle Feb 8, 2017 · This makes the text appear aligned. Apr 7, 2020 · I'm trying to create a plot that has a legend in the bottom right corner inside the plot import numpy as np import matplotlib. Examples using matplotlib. Feb 1, 2021 · Matplotlibでは、デフォルトでは凡例は表示されません。 「凡例（legend）を表示するにはどうしたらいいの？！」「凡例の位置や見た目の設定方法がわからない！」という方向けに、「凡例を表示する関数plt. 4, labelspacing=0. Matplotlib. 5), as in the example code below. plot ([1, 2, 3]) line. subplots() x = np. Nov 28, 2017 · patch_artist=True, boxprops=dict(facecolor="C0")) You cannot save the plots as variables. colorbar function, which sets the default to the current image. legend () in below defined manner to specify the number of columns which the legend should have. Call plt. A sublist of Axes children based on their type. I'm not sure why, because, based on the documentation for plt. pyplot as plt import numpy as np import matplotlib as mpl from matplotlib import cycler # Fixing random state for reproducibility np . pyplot. use ('_mpl-gallery') # make data x = np. axes. Jul 2, 2017 · Legends can have a title which you specify by the title argument. legend(loc="upper left") right before plt. legend_elements() leg = ax. If False, legend marker is placed to the right of the Jan 5, 2020 · The relative size of legend markers compared with the originally drawn ones. 3125] The vertical offset (relative to the font size) for the markers created for a scatter plot legend entry. set_xticklabels(lab). Add a second y-axis to this Axes. I searched for keywords such as align The number of marker points in the legend when creating a legend entry for a PathCollection (scatter plot). e. 375, 0. See Stacked bar chart. legend(lns, labels) To get your legend outside of the plot, refer to this answer How to put the legend out of the plot , and you can write: Jul 18, 2019 · Your code works fine on matplotlib 2. pyplot as plt import numpy as np import plotly. Important. Mar 1, 2022 · ax. linspace(0, 2 * np. afm; matplotlib. patches and artists in ax. Here is a minimal example plot: import matplotlib. Here is a solution for doing this when you don't want to change all the fonts, but just the font properties of the legend of this particular graph (a legend belonging to a particular axis object): L = ax. for legend_line, ax_line in zip (leg. linspace(0, 2*np. ArtistList(axes, prop_name, valid_types=None, invalid_types=None) #. bbox は、凡例を収容する bounding box を意味します。. Call signatures: This is just a thin wrapper around plot which additionally changes the y-axis to log scaling. and in theory I should be able to position the legend by specifying the loc keyword with a tuple: fig. By default, this draws the data markers/lines as well as the errorbars. , AxesImage , ContourSet, etc. import pandas as pd. legend #. What the above does is set the marker to a square, set the markersize to the ppi (points per inch) divided by dpi (dots per inch) == dots == pixels, and removes lines and edges. 0') and then moving the label to where I want it. arrow(), label is an acceptable kwarg, and plt. Axes and their Spine s. 1],[0. setp(L. # code. legend(loc="lower right",ncol=4) matplotlib. legend = plt. # create a subplot with 2 rows and 1 columns. Jun 3, 2022 · To make a package user friendly I wanted ax. style. legend(). Nov 26, 2022 · To solve this problem we need to place the legend outside the plot. texts, family='Consolas') This allows you to choose a You need to use a proxy artist where legends are not supported. set_label ('Label via method') ax. 1), ncol=2) Nov 20, 2017 · Following the example given in the legend guide, you can use a Line2D object instead of a marker object. The input data. Sheldore. I now want to make a completely custom legend to indicate the meaning of the symbols. My research shows that title_fontsize inside plt. add_subplot(111, projection='3d') x, y = np. show() Cheers, Francesco. Right now I use these options for the legend: axp. figure() ax = fig. Parameters: nrows, ncolsint, default: 1. plot(x, y) plt. legend(bbox_to_anchor=(1,1)) and would get - So basically, these two parameters manipulate the position of the legend box with respect to where they would be appearing -. The syntax to set the legend outside is as given below: matplotlib. get_label() for l in lns] plt. In that case I would like to be able to set the placement of the label by first letting python/matplotlib place it using. legend what to show and what not. plot(x, y)# See plot. sin(x) y2 = np. boxplot(data, positions=[1,4], notch=True,\. May 7, 2017 · To get all your lines onto the same legend, write: lns = line6 + line7 + line9 labels = [l. DataFrame() df['x'] = np. legend(loc="upper right") which will gather all handles from all subplots in the figure. plot (x, y, linewidth = 2. Matplotlib library is used for making 2D plots from data in arrays. set_axis_off() #turn off the axis. The animation process in Matplotlib can be thought of in 2 different ways: FuncAnimation: Generate data for first frame and then modify this data for each frame to create an animated plot. Aug 25, 2014 · We can then create a proxy artist of the respective color for each of them and put them into a legend like this. subplots # note that plot returns a list of lines. plot() but I get the following warning, repeated for each column I'm plotting: UserWarning: The handle <matplotlib. A float indicates the relative position on the parent Sep 2, 2022 · For this, it will be easy to place non-disruptively all the legends. 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. pyplot as plt mat = '''SOME MATRIX''' plt. Feb 21, 2014 · The . The legend module defines the Legend class, which is responsible for drawing legends associated with axes and/or figures. edited Dec 11, 2015 at 7:17. This utility wrapper makes it convenient to create common layouts of subplots, including the enclosing figure object, in a single call. show() The above code gives me a plot shown below Plot. ax. secondary_yaxis #. A figure can be understood as a canvas where you paint your sketch. import numpy as np. set_style('darkgrid') matplotlib. errorbar. In this case, we’ll pass in the labels of the data in the order that they were added to the plot. For example if we want to have a second scale for the data plotted on the yaxis. The space between the legend and the axes border is dertermined by a parameter borderaxespad, which can be set to zero. seed ( 19680801 ) N = 10 data = ( np . Then the solution you tried using markerscale in the legend I am trying to add legend to a surface plot but unable to do so. subplots() p1 = ax. You can use the NumPy library to convert data into an array and numerical mathematics extension of Python. randint(0, 8, (5,5)) # get the unique values from data. Default is None, which means using rcParams["legend. They are : Method 1: Using . cn ok xm jn hq rg pu lg fz td