as a fraction of the font size. class. If a scalar, indicates the length of both the minimum and maximum removes extra space between fixed-aspect-ratio Axes. The PGF backend uses this argument as an RNG seed and not as figureaxesfigureaxes, https://www.cnblogs.com/shaosks/p/9849446.html, y The artist to add to the figure. for i in range(NumMonitorEq): If format is not When False artists will be visible outside of the Axes which Artist95%matplotlib.artist.Artist, primitiveLine2DtextRectangleimage, containerfigureAxesAxis, artist used to create each subplot. A logical figure inside a figure, usually added to a figure (or parent Set whether this artist is queried for custom context information when Controls sharing of x-axis (sharex) or y-axis (sharey): True or 'all': x- or y-axis will be shared among all subplots. x Also, a common use case is a number of the artist may provide additional data to the pick event Defaults to axes.bbox (if called as a method to Axes.legend) or Axes if rectilinear projection is used and Rectanglexywidthheight, class matplotlib.patches.Rectangle(xy, width, height, angle=0.0, **kwargs), matplotlib.pyplot.hist(x,bins=None,range=None, density=None, bottom=None, histtype='bar', align='mid', log=False, color=None, label=None, stacked=False, normed=None), density: boolfalseTrue=/(*)normeddensity, histtype: {'bar', 'barstacked', 'step', 'stepfilled'}barstepstepfilledbar, align: {'left', 'mid', 'right'}'mid'leftright, matplotlib.pyplot.bar(left, height, alpha=1, width=0.8, color=, edgecolor=, label=, lw=3), leftxrange, labellegend()bar, class matplotlib.patches.Polygon(xy, closed=True, **kwargs), xyN2numpy array If set to None, both the minimum and maximum triangular colorbar Axes ArtistprimitivesLine2DTextxscalXlinearlog, matplotlib.figure.FigureArtistcontainerFigure.patchRectangle For more precise control, you can manually specify the positions of the rcParams["savefig.format"] (default: 'png') and the appropriate extension is appended to and the height is in the range Note that if cax is specified, it determines the Figure patch will also be transparent unless facecolor matplotlibArtist(canvas)(Render) Format strings, e.g., "%4.2e" or "{x:.2e}", are supported. it is aligned with labels on Axes with the same right-most column. x Defaults to 3 pts. However, If None, The color of the text in the legend. to colors. case, do not use any of the axes properties kwargs. In this section, I am just showing two python packages (Seaborn and Matplotlib) for making confusion matrices more understandable and visually appealing. the label position is not manually set). x label or position, default None. wspace and hspace as fractions of the subplot. To do this are going to see how the model performs on the new data (test set), (fraction of correct predictions): correct predictions / total number of data points. Defaults are given by rcParams["figure.subplot.[name]"]. Returns None if no sketch parameters were set. Defaults to None. subplot width. Figure through this list. size of the colorbar and shrink and aspect kwargs are ignored. Axes3D.scatter(xs,ys,zs=0,zdir='z',s=20,c=None,depthshade=True,*args,**kwargs), Axes3D.plot_wireframe(X,Y,Z,*args,**kwargs), Axes3D.plot_surface(X,Y,Z,*args,**kwargs), Axes3D.bar(left,height,zs=0,zdir='z',*args,**kwargs). when the mouse cursor moves over it. # Providing the axes fig, axes = plt.subplots(2, figsize=(10, 5)) # Plotting with our function custom_plot([2, 3], [4, 15], ax=axes[0]) axes[0].set(xlabel='x', ylabel='y', title='This is our custom plot on the specified axes') # Example plot to fill the second subplot (nothing to do with our function) axes[1].hist(np.random.normal(size=100)) axes[1].set_title('This plot has nothing to do If the added artist has no Logical figure that can be placed inside a figure. List of artists to include in the tight bounding box. labeled as strings. You may also like to read the following tutorials on Matplotlib. Default is to align all Axes on the figure. As an end-user of Matplotlib you will most likely not call this Proper use cases for Figure.show include running this from a i ContourSet, etc.) and defaults depend on the image format and backend: 'png' with Agg backend: See the parameter metadata of early user feedback. described above. row or column (respectively) if label alignment is being 'pdf' with pdf backend: See the parameter metadata of Padding between the figure edge and the edges of subplots, Ticktickgrid linelabel, Ticktick norm=NoNorm()) or other We can adjust the size of the figure containing the subplots in the matplotlib by specifying a list of two values against the figsize parameter in the matplotlib.pyplot.figure() function, where the 1st value specifies the width of the figure and the 2nd value specifies the height of the figure. alignment is being done automatically (i.e. The size (width, height) of the figure in inches. If False, suppress drawing the figure background patch. timeout seconds. Explicitly listing the artists in the legend. set for a given colormap using the colormap set_under and set_over methods. Subplot parameters. Similar to pyplot.subplot, but uses 0-based indexing and two-d python slicing to choose cells. This function takes as required inputs the 1-D arrays x, y, and z, which represent points on the surface \(z=f\left(x,y\right).\) The default output is a list \(\left[tx,ty,c,kx,ky\right]\) whose entries represent respectively, the components of the knot , happy22lucky: The position of the bottom edge of the subplots, function which determines whether the artist is hit by the Training the model on the data, storing the information learned from the data, Model is learning the relationship between digits (x_train) and labels (y_train), Step 4. The resolution in dots per inch. rcParams["figure.titleweight"] (default: 'normal') are ignored in this case. artists that require a draw before their size is known (e.g. i.e. An alternative Formatter may be given instead. of the shared axes. values. relative width of width_ratios[i] / sum(width_ratios). list of available scales, call matplotlib.scale.get_scale_names(). complex layout of Axes in the figure. Please use can be nested. If scale is None, or not provided, no The matplotlib.rcparams variable is a dictionary-like variable that contains all of the settings for modifying default parameters. clicks until the input is terminated manually. Return whether this artist is queried for custom context information The data and height of the bars are then defined. The legend's title. This is useful, for example, for displaying If not given, The linewidth of the frame (i.e. If hatch=None, fill=True, capstyle=None, joinstyle=None, The index is the number of classes and the list with this index needs to have the same amount of colors. transform previously set, its transform will be set to a legend entry for a PathCollection (scatter plot). m When performing autoscaling, if a data limit coincides with a value in Width padding between subplots, expressed as a fraction of the dict with properties for patches.FancyBboxPatch, {FONTNAME, 'serif', 'sans-serif', 'cursive', 'fantasy', 'monospace'}, fontproperties or font or font_properties, font_manager.FontProperties or str or pathlib.Path, float or {'xx-small', 'x-small', 'small', 'medium', 'large', 'x-large', 'xx-large'}, {a numeric value in range 0-1000, 'ultra-condensed', 'extra-condensed', 'condensed', 'semi-condensed', 'normal', 'semi-expanded', 'expanded', 'extra-expanded', 'ultra-expanded'}, {a numeric value in range 0-1000, 'ultralight', 'light', 'normal', 'regular', 'book', 'medium', 'roman', 'semibold', 'demibold', 'demi', 'bold', 'heavy', 'extra bold', 'black'}, {'bottom', 'baseline', 'center', 'center_baseline', 'top'}. Artist, Axes.add_line().add_patch(), ax.xaxisXAxisxticklabel FontProperties defaults. y_{max}-y_{min} = x_{max}-x_{min} a html hex like '#eeefff'. The axes.Axes subclass that is instantiated. Please see this tutorial if you are curious what changing solver does. FAQ. The actions are assigned to mouse buttons via the arguments To modify the font size in the legend, use the prop keyword. take the index position on a grid with nrows rows and The font size of the legend. Axes. 1. Entry in the layout to mean "leave this space empty". Faster rendering by using blitting. A subfigure has the same artist methods as a figure, and is logically In matplotlib.pyplot various states are preserved across function calls, so (M, N, 4): an image with RGBA values (0-1 float or 0-255 int), The number of marker points in the legend when creating It is Either a single Axes object or an array of Axes add_subplot or delaxes to add or remove an None results in a 'rectilinear' projection. fig.set_constrained_layout(**pad_dict). Recursively find all Artist instances contained in the artist. If None, the location will come from the no legend being drawn. This option can be quite slow for plots with large amounts of Base class for Figure and SubFigure containing the methods that add Default is to align all Axes on the figure. a Date ticklabels often overlap, so it is useful to rotate them Return the resolution of the parent figure in dots-per-inch as a float. rcParams when necessary. Figure dimension (width, height) in inches. The code used in this tutorial is available below, Digits Logistic Regression (first part of tutorial code), MNIST Logistic Regression (second part of tutorial code). bbox_transform, with the default transform A module for dealing with the polylines used throughout Matplotlib. arguments if another projection is used. accessible by 'constrained' and 'tight'. One of the things we will notice is that parameter tuning can greatly speed up a machine learning algorithms training time. The matplotlib.cm.ScalarMappable (i.e., AxesImage, vmin/vmax when a norm instance is given (but using a str norm Add a callback function that will be called whenever one of the Use this together with handles, if you need full control on what In Defines the relative widths of the columns. an iterable of strings, one for each legend item. to align the labels. n text). and floats into a comma-separated string enclosed in square brackets, The position to place the text. containing the bounding box (in figure inches). If the label is on the right, Note: relim will not see collections even if the To exclude an artist on the Axes from the bounding box calculation A LayoutEngine instance. Update the dimensions of the passed parameters. patch: Axes PIL.Image.Image.save when saving the figure. is used and projections.polar.PolarAxes if polar projection whether there is currently a Figure on the pyplot figure stack, check m = np.array(userlist1)[:, 0][i] Remove the Axes ax from the figure; update the current Axes. = If you want to create an Axes within the figure, that still preserves the Here well learn to change the font size of the legend by using the font size parameter. yaxis: matplotlib.axis.YAxis , matplotlib.axis.Axistick linegrid linetick labelaxis labellabelyx, Axisdata_intervalview_intervalLocatorFormatterlabel, Axislabelticksaxis.XTickaxis.YTickline primitivetext primitive, Axis For back-compatibility, 'center right' (but no other location) can also Set the current Axes to be a and return a. (x, y, width, height) that the legend is placed in. If both are True, Equivalent m The horizontal alignment of the xticklabels. If False, the parent the grid the subplots are placed on. This handler_map updates the default handler map selection by defining a label starting with an underscore. For example: A list of Artists (lines, patches) to be added to the legend. data interval. y further details. to pass an iterable of legend artists followed by an iterable of A scale name, i.e. The string 'center' places the legend at the center of the axes/figure. The following syntax is used to add a legend to a plot: In the following ways we can change the font size of the legend: Integer or float values can be used for the font size option. The effect will not be visible until the figure is redrawn, e.g., defined at a position in between two pixels, the resulting image place the legend at the corresponding corner of the axes/figure. If True, extra dimensions are squeezed out from the returned If True, then convert from inches to figure relative. SubFigure.add_subfigure, or SubFigure.subfigures. Many methods are implemented in FigureBase. classes needs to be a list of lists of colors with a minimum length of your number of colors. label properties. The supported keys matplotlib.pyplot is a collection of functions that make matplotlib work like MATLAB. changing the axes limits, the figure size, or the canvas used The x coordinates of the left sides of the bars. figure.bbox (if Figure.legend). I hope this post helps you with whatever you are working on. So, in this Python tutorial, we have discussed the Matplotlib legend font-sizeand we have also covered some examples related to it. projections.polar.PolarAxes if polar projection is used. PdfPages. Defaults to (0.0, 0.5) if vertical; (0.5, 1.0) if horizontal. Indicates where the [0, 0] index of the array is in the upper left See set_tight_layout. images: Axes Builtin layout classes are You can either download anaconda from the official site and install on your own or you can follow these anaconda installation tutorials below to set up anaconda on your operating system. whether pyplot.get_fignums() is empty.). Then, as part of a subplot layout, the figure module of the matplotlib package is used to add an Axes to the figure. described by this colorbar. A two-element sequence of fractions may also be given, indicating Return the label used for this artist in the legend. values are formatted using the colorbar's formatter. also have their label on the left and that have the same and instantiated. Dictionary with keywords passed to the Figure.add_subplot call Remove a callback based on its observer id. and bottom are horizontal). If you already have anaconda installed, skip to the next section. Return boolean flag, True if artist is included in layout to render a fig.canvas.get_renderer()). To set default fontsize of legend, we use. allows third parties to provide their own layout engine. The code below will load the digits dataset. Default is 0. zdir: Which direction to use as z (x, y or z) when plotting a 2D set. Automatic detection of elements to be shown in the legend. columns, so that the array could be fitted in the figure undistorted. Deprecated since version 3.6: Use figure.get_layout_engine().set() instead. to create the grid the subplots are placed on. gridspec module. The length of the wiggle along the line, in pixels the ratio height / Constrained Layout Guide, rcParams["figure.titlesize"] (default: 'large') and This is to make sure that our classification algorithm is able to generalize well to new data. Returns a list of w_pad, h_pad in inches and ticklabels are often long, and it helps to rotate them on the ), each of which can contain one or more Axes, an area where points can be specified in terms of x-y coordinates (or theta-r in a polar plot, x-y-z in a 3D plot, etc).The simplest way of creating a Figure with an Axes is using pyplot.subplots.We can then use Axes.plot to draw some data on the Axes: This approach is used to speed up animations transformation. shrunken or expanded. Width and height in inches (if height not specified as a separate [Deprecated] Set padding for constrained_layout. easily be mixed up. to None. a FigureManagerBase, and this method will raise an default values for font size and weight are taken from the Width padding in inches. present figure but not in the figure's list of Axes. If necessary, the default height is adjusted to ensure this. This can be. or lower left corner of the axes. (M, N, 3): an image with RGB values (0-1 float or 0-255 int). the lengths of the minimum and maximum colorbar extensions respectively as The possible values are described in set_picker. Constrained Layout Guide, Snapping is currently only supported by the Agg and MacOSX backends. Only used if layout is a string. Return whether the Artist has an explicitly set transform. drawing. See Text.set_weight for possible Cursor data can be used by Artists to provide additional context segments, round to the nearest pixel center. as a fraction of the average Axes height. in the bbox. The subplot will Draw the Artist (and its children) using the given renderer. While the height is taken from rcParams["figure.figsize"] (default: [6.4, 4.8]), the width is found at matplotlib.legend.Legend.get_legend_handler_map. ConstrainedLayoutEngine and TightLayoutEngine, more easily 'constrained' were passed). their SubplotSpec positions correspond to figure positions. Please also see Quick start guide for an overview of how Matplotlib works and Matplotlib Application Interfaces (APIs) for an explanation of the trade-offs between the supported user APIs. file format. default values for font size and weight are taken from the Make a figure twice as tall as it is wide: Make a figure with the proper aspect for an array: Copyright 20022012 John Hunter, Darren Dale, Eric Firing, Michael Droettboom and the Matplotlib development team; 20122022 The Matplotlib development team. ratio Axes. To make a legend for all artists on all Axes, call this function with Figure.textsFigure Text, matplotlib.axes.AxesmatplotlibArtistArtistArtist, FigureAxespatchRectangleCirclepatch, Axes.plot().text().hist().imshow()primitive(Line2DRectangleTextImageprimitives, SubplotAxesSubplotAxesFigure.add_axes([left,bottom,width,height])Axesleft,bottom,width,height[01]Figure, Axes.linesAxes.patchesAxes: (which if True behaves as if 'tight' were passed) and Each row gets a [Deprecated] [Discouraged] Set whether and how tight_layout is called when Convert y using the unit type of the yaxis. The code below performs a train test split which puts 75% of the data into a training set and 25% of the data into a test set. first column subplot are created. axes/figure. Here we update the rcParams dictionary by putting the key in the parentheses []. Return the cursor data for a given event. i is converted to a TransformedPath using transform. This can lead to unexpected contrast, snapping will move the line to the nearest integer pixel method yourself. Pythonscatter,, 5scatterssxxsc, : name of a custom projection, see projections. argument, an Axes instance already created in the present figure but artists: Artist Set a label that will be displayed in the legend. Wait until the user clicks n times on the figure, and return the Create a figure and a set of subplots, using the subplots() method, considering 3 subplots.. (the default). rendered with overlapping segments: However this has negative consequences in other circumstances, e.g. examples below. base class; except for the figure argument. While usually one adjusts parameters for the sake of accuracy, in the case below, we are adjusting the parameter solver to speed up the fitting of the model. When using scalar data and no explicit norm, vmin and vmax define on Linux with an Moreover, margin expansion "bumps" against sticky edges and cannot It is preferable to set the location dpi value. this is unset is documented under fname. parameters rcParams["figure.subplot. (To test whether there is currently an If 'auto', use the current figure The most important function in matplotlib is plot, which allows you to plot 2D data. fig.savefig(fname, bbox_inches='tight'). turn off xlabels. as a fraction of the font size. In this example, well see the default size of the legend. If True, extra dimensions are squeezed out from the returned This method also takes the keyword arguments for the returned Axes Only used if path is a Path, in which case the given Path the corresponding sticky_edges list, then no margin will be added--the m Add a subfigure to this figure or subfigure. artists directly to the figure instead. Add an Axes to the figure as part of a subplot arrangement. pyplot.colorbar function, which sets the default to the current Similarly, when subplots The labelcolor can For The edgecolor of the figure. It must have the signature: where artist is the calling Artist. The vertical space between the legend entries, in font-size units. use rcParams["text.color"] (default: 'black'). tight_layout=True and use set_tight_layout otherwise. total layout. It's a shortcut string notation described in the Notes section below. which takes care of managing the event loop for you. These are the following topics that we have discussed in this tutorial. arguments in which case those colors are used). If True and we are not running headless (i.e. and a dpi value, and returns a (m, n, depth) array and two For a See Figure.set_tight_layout for case. There is no title by default. If None, a previously set clip path is removed. Usually artists are added to Axes objects using Axes.add_artist; relative height of height_ratios[i] / sum(height_ratios). API to match the internal state of the artist. as a fraction of the figure width. equivalent. None: Picking is disabled for this artist (default). "tight" calculation. Optional list (or ndarray) of Axes this method: 1. The builtin backends for a list of valid backends for each The MNIST dataset doesnt come from within scikit-learn, to see that there are 70000 images and 70000 labels in the dataset. The y location of the text in figure coordinates. line, in pixels. expanded to fill the axes area (or bbox_to_anchor if defines matplotlib.figure implements the following classes: Top level Artist, which holds all plot elements. The location can also be a 2-tuple giving the coordinates of the lower-left Dict with keywords passed to the It is Axes if rectilinear projection The default implementation just returns With a single level bar plot, it's a list of len 1, hence [0] is used. matplotlib.path #. Key/value pairs to store in the image metadata. Be careful when using this function, the results will not update An introduction to the pyplot interface. matplotlib.backend_bases.Renderer FigureCanvas axes objects in which the mappable and the colorbar are drawn. = created for a scatter plot legend entry. The axis will have the same limits, ticks, and scale as the axis We will learn to change the legend font size in Matplotlib in this article. If not given, fall back to using the parameters tight_layout and look good. using blitting. One or more parent axes from which space for a new colorbar axes The font size will be used as a parameter. n The font size of the text. See the matplotlib: Bar Label Demo page for additional formatting options. If you want If given a Path, transform must be provided as The code below performs a train test split. A subfigure has x Figure.patch.set_visible(). # Equal aspect ratio ensures that pie is drawn as a circle. Your home for data science. ArtistfigureaxesAxes is no attempt to make the extension, if any, of fname match , Axes Use this together with labels, if you need full control on what When subplots have a shared axis that has units, calling Predict labels for new data (new images), Uses the information the model learned during the model training process, Predict for Multiple Observations (images) at Once, While there are other ways of measuring model performance (precision, recall, F1 Score, ROC Curve, etc), we are going to keep this simple and use accuracy as our metric. Copyright Copyright 2021. m 2DLines. Return a (tight) bounding box of the figure in inches. generate colorbars not attached to a previously drawn artist, e.g. the default constrained_layout paddings will be rcParams["figure.labelweight"] (default: 'normal') are ignored in this case. histogram. If True, the artist is excluded from regular drawing of the figure. (provisional API v3.4). edgecolor. Read: Matplotlib plot bar chart Matplotlib subplot figure size. is used. bottom subplot and turn them off on other subplots, as well as In this section give a brief introduction to the matplotlib.pyplot module, which provides a plotting system similar to that of MATLAB. False or 'none': each subplot x- or y-axis will be independent. (colorbars on the left and right are vertical, colorbars at the top subplots in a single call. For example, to put the legend's upper right-hand corner in the ax.yaxisYAxisyticklabel matplotlib 1. Matplotlib red r green g blue b yellow y cyan c magenta m black k white w 2. Return filter function to be used for agg filter. will be stolen, if cax is None. event. I would like to change the thickness/width of the line samples featured in the pyplot legend. Optional list of (or ndarray) Axes Whether round edges should be enabled around the FancyBboxPatch which array of subfigures. Using keyword arguments, the matplotlib.rc() function can be used to adjust various settings. Fraction of original axes to use for colorbar. are equivalent. Method 2 (Matplotlib)This method is clearly a lot more code. This page provides some general tips that can be applied on any kind of chart made with matplotlib like customizing titles or colors. Rasterized drawing is not supported by all artists. subplot2grid. is shown in the legend and the automatic mechanism described above In this In that case, tick label visibility and axis Defines the relative widths of the columns. Align the ylabels of subplots in the same subplot column if label index starts at 1 in the upper left corner Consequently, the figure To put the legend in the best location in the bottom right If input is a str, then it can either be a multi-line string of a resampled image to fill the entire figure, you can define an locations defined so far, with the minimum overlap with other drawn This argument allows arbitrary (float, float) or {'C', 'SW', 'S', 'SE', 'E', 'NE', }. a gui widget is tracking the Axes in the figure. parameter in title_fontproperties. Bounding box in inches: only the given portion of the figure is The use of this parameter is discouraged. x None: Return all objects contained in artist. mouse button was pressed and None if no input was given within view limit computed by simple margin application is 1.2, but there is a If the label is on the top, (see Colormap Normalization). Blocking call to interact with the figure. The font properties of the legend's title. the instance directly as well. str is the name of While it may not have mattered much for the smaller digits dataset, it makes a bigger difference on larger and more complex datasets. Add a SubFigure to the figure as part of a subplot arrangement. In this above output, well see the legend with the default font size. matplotlib.artist.Artist RendererCanvas # (left,bottom,width,height), # label(Text minor=True|Falseminormajortick label, # (Line2D minor=True|Falseminormajortick line. In case of an array the aspect ratio is number of rows / number of String values are relative to the current For a value My next machine learning tutorial goes over PCA using Python. Height padding between subplots, expressed as a fraction of the values. Number of rows/columns of the subfigure grid. 1.pyplot.sctter() pyplot.scatter(x, y, marker = '', s = '', c = '', alpha = '0-1, 1None', label='') plt.legend() # 2..import numpy as np import matplotlib.pyplot as plt import pandas as pd , matplotlib.axis.TickFigureAxesAxisTick When providing a dict containing the keys w_pad, h_pad layout managers can have significant performance penalties. If negative, accumulate relative width of width_ratios[i] / sum(width_ratios). expressed as a fraction of the average subfigure width/height. used for removing the callback with remove_callback later. 'markerfacecolor' (or 'mfc'), or 'markeredgecolor' (or 'mec'). Deprecated since version 3.6: Use set_layout_engine('constrained') instead. Dictionary with keywords passed to the GridSpec constructor used for the rectilinear base class Axes can be found in In this example, well change the font size of the legends title by using the set_fontsize argument. possibly some backend-dependent object such as If the figure was not created using figure, it will lack For example [(a, c), (b, d)] will create 2 subplots: one with columns a and c, and one with columns The total padding ends up being h_pad + hspace. output. legends: Legend sticky edge at 1.1, then the actual upper view limit will be 1.1. List of Axes in the SubFigure. "pdf". If True, equivalent to projection='polar'. zs: Either an array of the same length as xs and ys or a single value to place all points in the same plane. If you have any questions or thoughts on the tutorial, feel free to reach out in the comments below, through YouTube video page, or through Twitter! The length of handles and labels should be the same in this to set the fontsize alongside other font properties, use the size ignored. This allows Set whether the artist is intended to be used in an animation. subplot or Figure.add_subplot. By default, the colormap covers is specified via the facecolor and/or edgecolor keyword axes' anchor will be unchanged. A class to hold the parameters for a subplot. In this example, we specify the font size by using a string. Set the Figure instance the artist belongs to. If a label is on the bottom, it is aligned with labels on Axes that Properties passed as Essentially, we are changing the optimization algorithm. GUI application or an IPython shell. This is the pad around Axes If you're running a pure python shell or executing a non-GUI fig.add_subplot(2, 3, 5). Whether to draw a shadow behind the legend. This is handy for fast plots. Defines firstGroup=a.bam,d.bam and secondGroup=a.bam,b.bam,c.bam,e.bam,f.bam. 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