You need to specify the parameter linestyle in the plot () function of matplotlib. Create your data set (s) to be plotted. leg = plt.legend() leg.get_lines()[0].set_linewidth(6) What is the use of NTP server when devices have accurate time? Can an adult sue someone who violated them as a child? What was the significance of the word "ordinary" in "lords of appeal in ordinary"? Here is a Plotting multiple sets of data. Use LineCollections. set_alpha (0) plt. y position in data coordinates of the horizontal line. lines on a figure. How to Add Markers to a Graph Plot in Matplotlib with Python? Does subclassing int to forbid negative integers break Liskov Substitution Principle? How to change the font size on a matplotlib plot. PyQtGraph - Setting Symbol of Line in Line Graph, PyQtGraph - Setting Shadow Pen of Line in Line Graph, PyQtGraph - Setting Pen of Line in Line Graph, PyQtGraph - Setting Alpha Value of Line in Line Graph, PyQtGraph - Clearing the Line in Line Graph, PyQtGraph - Getting Data Bounds of the Line in Line Graph, PyQtGraph - Getting Data of Line in Line Graph, PyQtGraph - Getting Name of Line in Line Graph, PyQtGraph - Setting Symbol Pen of Line in Line Graph, Python Programming Foundation -Self Paced Course, Complete Interview Preparation- Self Paced Course, Data Structures & Algorithms- Self Paced Course. syntax: plt.plot(x,y, scalex=True, scaley=True, data=None, marker='marker style', **kwargs) x,y: They represent vertical and horizontal axis. Concealing One's Identity from the Public When Purchasing a Home. The line width of the contour lines. Linewidth: By default the linewidth is 1. The definition of matplotlib.pyplot.step () function with linewidth parameter is step (x, y, linewidth=None) Below we show off some of its properties. However, this line width can be adjusted. A way to do it along the lines of this Matplotlib example is. By using our site, you The line widths of two lines in the Python Matplotlib plot are 3.0 and 5.0 respectively, and the line width of lines in the legend by default uses the same line width as in the plot. Legal string values are, # solid|dashed|dashdot|dotted. can you post your code? How to Change the Transparency of a Graph Plot in Matplotlib with Python? How do I clone a list so that it doesn't change unexpectedly after assignment? # This allows interactive changing of the colormap. Take a look at this code below, which uses a width size of 4: Pyplot.plot (x, y, linewidth='4') plot () method using linewidth. First import Matplotlib.pyplot library for plotting . LineCollection allows one to plot multiple You need to specify the parameter linestyle in the plot () function of matplotlib. You can change the line style in a line chart in python using matplotlib. bingo tour apk You can change the line style in a line chart in python using matplotlib. Required fields are marked *. How to Place the Legend Outside of a Matplotlib Plot, Your email address will not be published. Learn more about us. Not the answer you're looking for? The matplotlib.pyplot.plot (*args, **kwargs) method of matplotlib.pyplot is used to plot the graph and specify the graph style like color or line style. 52,508 Solution 1. In line chart, the data value is plotted as points and later connected by a line to show trend of a measure over time. Is there a term for when you use grammar from one language in another? rev2022.11.7.43011. Here are various ways to change the default plot size as per our required dimensions or resize a given plot. It doesn't seem to be supported, but they say "anything is possible" so thought I would ask people with more experience (noob here). Parameters: y float, default: 0. y position in data coordinates of the horizontal line. Change grid line thickness in 3D surface plot in Python - Matplotlib. Why are UK Prime Ministers educated at Oxford, not Cambridge? If a number, all levels will be plotted with this linewidth. document.getElementById( "ak_js_1" ).setAttribute( "value", ( new Date() ).getTime() ); Statology is a site that makes learning statistics easy by explaining topics in simple and straightforward ways. If a sequence, the levels in ascending order will be plotted with the linewidths in the order specified. xmin float, default: 0. # If linestyle is omitted, 'solid' is used, # See `matplotlib.collections.LineCollection` for more information. How can I loop through a list changing the list elements at each time step, adding or subtracting input values that are in the txt files? The pyplot, a sublibrary of matplotlib, is a collection of functions that helps in creating a variety of charts. MIT, Apache, GNU, etc.) How do I change the size of figures drawn with Matplotlib? in this example: matplotlib.figure.Figure.colorbar / matplotlib.pyplot.colorbar, Total running time of the script: ( 0 minutes 1.028 seconds), Download Python source code: line_collection.py, Download Jupyter notebook: line_collection.ipynb. The value is a floating number, in points: Example. far right of the plot. One can change the line width of a graph in matplotlib using a feature. Matplotlib plot with variable line width; Matplotlib plot with variable line width. Use a polygon (easiest with fill_between, but for complex curves you may need to create it directly). You can easily adjust the thickness of lines in Matplotlib plots by using the linewidth argument function, which uses the following syntax: matplotlib.pyplot.plot(x, y, linewidth=1.5). In the plot () method after declaring the linewidth parameter, you assign it to any number value you want to represent the desired width of your plot. Making statements based on opinion; back them up with references or personal experience. internet location crossword clue; best automatic cars under 20 lakhs; apple music promotion; matplotlib violin plot October 26, 2022 Matplotlib.axes.Axes.quiverkey() in Python, Python Non-Central F-Distribution in Statistics, Python Poisson Discrete Distribution in Statistics, Python Bernoulli Distribution in Statistics, Generate all permutation of a set in Python, Program to reverse a string (Iterative and Recursive), Print reverse of a string using recursion, Write a program to print all permutations of a given string, Print all distinct permutations of a given string with duplicates, All permutations of an array using STL in C++, std::next_permutation and prev_permutation in C++, Lexicographically Next Permutation in C++. You can easily adjust the thickness of lines in Matplotlib plots by using the linewidth argument function, which uses the following syntax: matplotlib.pyplot.plot (x, y, linewidth=1.5) By default, the line width is 1.5 but you can adjust this to any value greater than 0. exception of 'transform': a filter function, which takes a (m, n, 3) float array and a dpi value, and returns a (m, n, 3) array and two offsets from the bottom left corner of the image, CapStyle or {'butt', 'projecting', 'round'}, sequence of floats (on/off ink in points) or (None, None), {'default', 'steps', 'steps-pre', 'steps-mid', 'steps-post'}, default: 'default', {'full', 'left', 'right', 'bottom', 'top', 'none'}, {'-', '--', '-. # See `matplotlib.collections.LineCollection` for more information. Legal string values are, # solid|dashed|dashdot|dotted. The following code shows how to create a simple line chart and set the line width to 3: The following code shows how to adjust the thickness of multiple lines at once: The following code shows how to create multiple lines with different thicknesses and create a legend that displays the the thickness of each line accordingly: How to Fill in Areas Between Lines in Matplotlib This tutorial provides several examples of how to use this function in practice. If x and/or y are 2D arrays a separate data set will be drawn for every column. Can FOSS software licenses (e.g. apply to docments without the need to be rewritten? 503), Mobile app infrastructure being decommissioned, 2022 Moderator Election Q&A Question Collection. Get started with our course today. Connect and share knowledge within a single location that is structured and easy to search. import matplotlib.pyplot as plt. Your email address will not be published. We may assign a new value in the range [0.0, 1.0]. The dash tuple is (offset, onoffseq). # where onoffseq is an even length tuple of on and off ink in points. Here is a. In this article we will learn how to Change the Line Width of a Graph Plot in Matplotlib with Python. Bases: Artist. Method 1: Using set_figheight () and set_figwidth () For changing height and width of a plot set_figheight and set_figwidth are used Python3 import matplotlib.pyplot as plt x = [1, 2, 3, 4, 5] y = [1, 2, 3, 4, 5] plt.xlabel ('x - axis') draw a thick red hline at 'y' = 0 that spans the xrange: draw a default hline at 'y' = 1 that spans the xrange: draw a default hline at 'y' = .5 that spans the middle half of You can either specify the name of the line style or its symbol enclosed in quotes. How does DNS work when it comes to addresses after slash? # Mask some values to test masked array support: # *linestyle* is a string or dash tuple. How to Change the Color of a Graph Plot in Matplotlib with Python? size = 256, 16. dpi = 72.0. figsize = size [0] / float (dpi), size [1] / float (dpi) fig = plt. Thanks for contributing an answer to Stack Overflow! The functionality of increasing the thickness of a line is given by linewidth attribute. By default, in the Matplotlib, the value of the line width of a plot is 1. When the migration is complete, you will access your Teams at stackoverflowteams.com, and they will no longer appear in the left sidebar on stackoverflow.com. You can control the defaults of almost every property in matplotlib: figure size and dpi, line width, color and style, axes, axis and grid properties, text and font properties and so on. How to split a string in C/C++, Python and Java? Discrete distribution as horizontal bar chart, Mapping marker properties to multivariate data, Creating a timeline with lines, dates, and text, Contouring the solution space of optimizations, Blend transparency with color in 2D images, Programmatically controlling subplot adjustment, Controlling view limits using margins and sticky_edges, Figure labels: suptitle, supxlabel, supylabel, Combining two subplots using subplots and GridSpec, Using Gridspec to make multi-column/row subplot layouts, Plot a confidence ellipse of a two-dimensional dataset, Including upper and lower limits in error bars, Creating boxes from error bars using PatchCollection, Using histograms to plot a cumulative distribution, Some features of the histogram (hist) function, Demo of the histogram function's different, The histogram (hist) function with multiple data sets, Producing multiple histograms side by side, Labeling ticks using engineering notation, Controlling style of text and labels using a dictionary, Creating a colormap from a list of colors, Line, Poly and RegularPoly Collection with autoscaling, Controlling the position and size of colorbars with Inset Axes, Setting a fixed aspect on ImageGrid cells, Animated image using a precomputed list of images, Changing colors of lines intersecting a box, Building histograms using Rectangles and PolyCollections, Plot contour (level) curves in 3D using the extend3d option, Generate polygons to fill under 3D line graph, 3D voxel / volumetric plot with RGB colors, 3D voxel / volumetric plot with cylindrical coordinates, SkewT-logP diagram: using transforms and custom projections, Formatting date ticks using ConciseDateFormatter, Placing date ticks using recurrence rules, Set default y-axis tick labels on the right, Setting tick labels from a list of values, Embedding Matplotlib in graphical user interfaces, Embedding in GTK3 with a navigation toolbar, Embedding in GTK4 with a navigation toolbar, Embedding in a web application server (Flask), Select indices from a collection using polygon selector. To learn more, see our tips on writing great answers. Use a LineCollection. width(float, optional) - Widthof the image in inches. Why should you not leave the inputs of unused gates floating with 74LS series logic? Plot with a 20.5pt wide line: import matplotlib.pyplot as plt import numpy as np ypoints = np.array([3, 8, 1, 10]) matplotlib change linewidth on line segments, using list, jakevdp.github.io/PythonDataScienceHandbook/, Stop requiring only one assertion per unit test: Multiple assertions are fine, Going from engineer to entrepreneur takes more than just good code (Ep. Valid keyword arguments are Line2D properties, with the Asking for help, clarification, or responding to other answers. plot plot(x,y)x,y linestyle import numpy as. How to Fill in Areas Between Lines in Matplotlib, How to Remove Ticks from Matplotlib Plots, How to Place the Legend Outside of a Matplotlib Plot, Excel: How to Extract Last Name from Full Name, Excel: How to Extract First Name from Full Name, Pandas: How to Select Columns Based on Condition. Specials; Thermo King. Additionally, the drawing of the solid line is influenced by the drawstyle, e.g., one can create "stepped" lines in various styles. There are several line styles available in python. acknowledge that you have read and understood our, Data Structure & Algorithm Classes (Live), Full Stack Development with React & Node JS (Live), Full Stack Development with React & Node JS(Live), GATE CS Original Papers and Official Keys, ISRO CS Original Papers and Official Keys, ISRO CS Syllabus for Scientist/Engineer Exam. scalex, scaley: These parameters determine if the view limits are adapted to the data limits. # In order to efficiently plot many lines in a single set of axes, # Matplotlib has the ability to add the lines all at once. You can use the keyword argument linewidth or the shorter lw to change the width of the line. Precedent Precedent Multi-Temp; HEAT KING 450; Trucks; Auxiliary Power Units. Matplotlib Line Previous Next . Click here Example 1: Python3 import matplotlib.pyplot as plt import numpy as np x_values = np.arange (0, 10) Please use ide.geeksforgeeks.org, patch. How to Change the Color of a Graph Plot using pygal? You can easily adjust the thickness of lines in Matplotlib plots by using the, #create line plot with line width set to 3, How to Set the Aspect Ratio in Matplotlib. A-143, 9th Floor, Sovereign Corporate Tower, We use cookies to ensure you have the best browsing experience on our website. If linestyle. How to Remove Ticks from Matplotlib Plots 1 Answer Sorted by: 12 Basically, you have two options. How to print size of array parameter in C++? Animated image using a precomputed list of images, matplotlib.animation.ImageMagickFileWriter, matplotlib.artist.Artist.format_cursor_data, matplotlib.artist.Artist.set_sketch_params, matplotlib.artist.Artist.get_sketch_params, matplotlib.artist.Artist.set_path_effects, matplotlib.artist.Artist.get_path_effects, matplotlib.artist.Artist.get_window_extent, matplotlib.artist.Artist.get_transformed_clip_path_and_affine, matplotlib.artist.Artist.is_transform_set, matplotlib.axes.Axes.get_legend_handles_labels, matplotlib.axes.Axes.get_xmajorticklabels, matplotlib.axes.Axes.get_xminorticklabels, matplotlib.axes.Axes.get_ymajorticklabels, matplotlib.axes.Axes.get_yminorticklabels, matplotlib.axes.Axes.get_rasterization_zorder, matplotlib.axes.Axes.set_rasterization_zorder, matplotlib.axes.Axes.get_xaxis_text1_transform, matplotlib.axes.Axes.get_xaxis_text2_transform, matplotlib.axes.Axes.get_yaxis_text1_transform, matplotlib.axes.Axes.get_yaxis_text2_transform, matplotlib.axes.Axes.get_default_bbox_extra_artists, matplotlib.axes.Axes.get_transformed_clip_path_and_affine, matplotlib.axis.Axis.remove_overlapping_locs, matplotlib.axis.Axis.get_remove_overlapping_locs, matplotlib.axis.Axis.set_remove_overlapping_locs, matplotlib.axis.Axis.get_ticklabel_extents, matplotlib.axis.YAxis.set_offset_position, matplotlib.axis.Axis.limit_range_for_scale, matplotlib.axis.Axis.set_default_intervals, matplotlib.colors.LinearSegmentedColormap, matplotlib.colors.get_named_colors_mapping, matplotlib.gridspec.GridSpecFromSubplotSpec, matplotlib.pyplot.install_repl_displayhook, matplotlib.pyplot.uninstall_repl_displayhook, matplotlib.pyplot.get_current_fig_manager, mpl_toolkits.mplot3d.art3d.Line3DCollection, mpl_toolkits.mplot3d.art3d.Patch3DCollection, mpl_toolkits.mplot3d.art3d.Path3DCollection, mpl_toolkits.mplot3d.art3d.Poly3DCollection, mpl_toolkits.mplot3d.art3d.get_dir_vector, mpl_toolkits.mplot3d.art3d.line_collection_2d_to_3d, mpl_toolkits.mplot3d.art3d.patch_2d_to_3d, mpl_toolkits.mplot3d.art3d.patch_collection_2d_to_3d, mpl_toolkits.mplot3d.art3d.pathpatch_2d_to_3d, mpl_toolkits.mplot3d.art3d.poly_collection_2d_to_3d, mpl_toolkits.mplot3d.proj3d.inv_transform, mpl_toolkits.mplot3d.proj3d.persp_transformation, mpl_toolkits.mplot3d.proj3d.proj_trans_points, mpl_toolkits.mplot3d.proj3d.proj_transform, mpl_toolkits.mplot3d.proj3d.proj_transform_clip, mpl_toolkits.mplot3d.proj3d.view_transformation, mpl_toolkits.mplot3d.proj3d.world_transformation, mpl_toolkits.axes_grid1.anchored_artists.AnchoredAuxTransformBox, mpl_toolkits.axes_grid1.anchored_artists.AnchoredDirectionArrows, mpl_toolkits.axes_grid1.anchored_artists.AnchoredDrawingArea, mpl_toolkits.axes_grid1.anchored_artists.AnchoredEllipse, mpl_toolkits.axes_grid1.anchored_artists.AnchoredSizeBar, mpl_toolkits.axes_grid1.axes_divider.AxesDivider, mpl_toolkits.axes_grid1.axes_divider.AxesLocator, mpl_toolkits.axes_grid1.axes_divider.Divider, mpl_toolkits.axes_grid1.axes_divider.HBoxDivider, mpl_toolkits.axes_grid1.axes_divider.SubplotDivider, mpl_toolkits.axes_grid1.axes_divider.VBoxDivider, mpl_toolkits.axes_grid1.axes_divider.make_axes_area_auto_adjustable, mpl_toolkits.axes_grid1.axes_divider.make_axes_locatable, mpl_toolkits.axes_grid1.axes_grid.AxesGrid, mpl_toolkits.axes_grid1.axes_grid.CbarAxes, mpl_toolkits.axes_grid1.axes_grid.CbarAxesBase, mpl_toolkits.axes_grid1.axes_grid.ImageGrid, mpl_toolkits.axes_grid1.axes_rgb.make_rgb_axes, mpl_toolkits.axes_grid1.axes_size.AddList, mpl_toolkits.axes_grid1.axes_size.Fraction, mpl_toolkits.axes_grid1.axes_size.GetExtentHelper, mpl_toolkits.axes_grid1.axes_size.MaxExtent, mpl_toolkits.axes_grid1.axes_size.MaxHeight, mpl_toolkits.axes_grid1.axes_size.MaxWidth, mpl_toolkits.axes_grid1.axes_size.Scalable, mpl_toolkits.axes_grid1.axes_size.SizeFromFunc, mpl_toolkits.axes_grid1.axes_size.from_any, mpl_toolkits.axes_grid1.inset_locator.AnchoredLocatorBase, mpl_toolkits.axes_grid1.inset_locator.AnchoredSizeLocator, mpl_toolkits.axes_grid1.inset_locator.AnchoredZoomLocator, mpl_toolkits.axes_grid1.inset_locator.BboxConnector, mpl_toolkits.axes_grid1.inset_locator.BboxConnectorPatch, mpl_toolkits.axes_grid1.inset_locator.BboxPatch, mpl_toolkits.axes_grid1.inset_locator.InsetPosition, mpl_toolkits.axes_grid1.inset_locator.inset_axes, mpl_toolkits.axes_grid1.inset_locator.mark_inset, mpl_toolkits.axes_grid1.inset_locator.zoomed_inset_axes, mpl_toolkits.axes_grid1.mpl_axes.SimpleAxisArtist, mpl_toolkits.axes_grid1.mpl_axes.SimpleChainedObjects, mpl_toolkits.axes_grid1.parasite_axes.HostAxes, mpl_toolkits.axes_grid1.parasite_axes.HostAxesBase, mpl_toolkits.axes_grid1.parasite_axes.ParasiteAxes, mpl_toolkits.axes_grid1.parasite_axes.ParasiteAxesBase, mpl_toolkits.axes_grid1.parasite_axes.host_axes, mpl_toolkits.axes_grid1.parasite_axes.host_axes_class_factory, mpl_toolkits.axes_grid1.parasite_axes.host_subplot, mpl_toolkits.axes_grid1.parasite_axes.host_subplot_class_factory, mpl_toolkits.axes_grid1.parasite_axes.parasite_axes_class_factory, mpl_toolkits.axisartist.angle_helper.ExtremeFinderCycle, mpl_toolkits.axisartist.angle_helper.FormatterDMS, mpl_toolkits.axisartist.angle_helper.FormatterHMS, mpl_toolkits.axisartist.angle_helper.LocatorBase, mpl_toolkits.axisartist.angle_helper.LocatorD, mpl_toolkits.axisartist.angle_helper.LocatorDM, mpl_toolkits.axisartist.angle_helper.LocatorDMS, mpl_toolkits.axisartist.angle_helper.LocatorH, mpl_toolkits.axisartist.angle_helper.LocatorHM, mpl_toolkits.axisartist.angle_helper.LocatorHMS, mpl_toolkits.axisartist.angle_helper.select_step, mpl_toolkits.axisartist.angle_helper.select_step24, mpl_toolkits.axisartist.angle_helper.select_step360, mpl_toolkits.axisartist.angle_helper.select_step_degree, mpl_toolkits.axisartist.angle_helper.select_step_hour, mpl_toolkits.axisartist.angle_helper.select_step_sub, mpl_toolkits.axisartist.axes_grid.AxesGrid, mpl_toolkits.axisartist.axes_grid.CbarAxes, mpl_toolkits.axisartist.axes_grid.ImageGrid, mpl_toolkits.axisartist.axis_artist.AttributeCopier, mpl_toolkits.axisartist.axis_artist.AxisArtist, mpl_toolkits.axisartist.axis_artist.AxisLabel, mpl_toolkits.axisartist.axis_artist.GridlinesCollection, mpl_toolkits.axisartist.axis_artist.LabelBase, mpl_toolkits.axisartist.axis_artist.TickLabels, mpl_toolkits.axisartist.axis_artist.Ticks, mpl_toolkits.axisartist.axisline_style.AxislineStyle, mpl_toolkits.axisartist.axislines.AxesZero, mpl_toolkits.axisartist.axislines.AxisArtistHelper, mpl_toolkits.axisartist.axislines.AxisArtistHelperRectlinear, mpl_toolkits.axisartist.axislines.GridHelperBase, mpl_toolkits.axisartist.axislines.GridHelperRectlinear, mpl_toolkits.axisartist.clip_path.clip_line_to_rect, mpl_toolkits.axisartist.floating_axes.ExtremeFinderFixed, mpl_toolkits.axisartist.floating_axes.FixedAxisArtistHelper, mpl_toolkits.axisartist.floating_axes.FloatingAxes, mpl_toolkits.axisartist.floating_axes.FloatingAxesBase, mpl_toolkits.axisartist.floating_axes.FloatingAxisArtistHelper, mpl_toolkits.axisartist.floating_axes.GridHelperCurveLinear, mpl_toolkits.axisartist.floating_axes.floatingaxes_class_factory, mpl_toolkits.axisartist.grid_finder.DictFormatter, mpl_toolkits.axisartist.grid_finder.ExtremeFinderSimple, mpl_toolkits.axisartist.grid_finder.FixedLocator, mpl_toolkits.axisartist.grid_finder.FormatterPrettyPrint, mpl_toolkits.axisartist.grid_finder.GridFinder, mpl_toolkits.axisartist.grid_finder.MaxNLocator, mpl_toolkits.axisartist.grid_helper_curvelinear, mpl_toolkits.axisartist.grid_helper_curvelinear.FixedAxisArtistHelper, mpl_toolkits.axisartist.grid_helper_curvelinear.FloatingAxisArtistHelper, mpl_toolkits.axisartist.grid_helper_curvelinear.GridHelperCurveLinear. Introduction to Statistics is our premier online video course that teaches you all of the topics covered in introductory statistics. Create a Line2D instance with x and y data in sequences of xdata, ydata. Add horizontal lines in data coordinates. Stack Overflow for Teams is moving to its own domain! Did the words "come" and "home" historically rhyme? Site design / logo 2022 Stack Exchange Inc; user contributions licensed under CC BY-SA. There are several line styles available in python. By clicking Accept all cookies, you agree Stack Exchange can store cookies on your device and disclose information in accordance with our Cookie Policy. In order to efficiently plot many lines in a single set of axes, LineCollection allows one to plot multiple lines on a figure. Matplotlib has the ability to add the lines all at once. The use of the following functions, methods, classes and modules is shown How does reproducing other labs' results work? How to read a file line-by-line into a list? What's the best way to roleplay a Beholder shooting with its many rays at a Major Image illusion? I would like to be able to change width of a line according to a list of values. By clicking Post Your Answer, you agree to our terms of service, privacy policy and cookie policy. Matplotlib allows you to adjust the line width of a graph plot using the linewidth attribute. Should be between 0 and 1, 0 being the far left of the plot, 1 the far right of the plot. Save plot to image file instead of displaying it using Matplotlib, Python: Removing a range of numbers from array list, 3d plot/scatter xyz coordinates from pandas data frame, How to plot sequential data, changing the color according to cluster. The Matplotlib library of Python is a popular choice for data visualization due to its wide variety of chart types and its properties that can be manipulated to create chart styles. simple example showing how it is done. Marker edge width Demo the marker edge widths of matplotlib's markers. axes ([0, 0, 1, 1], frameon = False) for i in range (1, 11): Let's see the below code example of creating a single Matplotlib plot in the below section: import matplotlib.pyplot as plt x = [10, 11, 15] y = [3, 9, 21] plt.plot (x, y, color='red') plt.show () Plotting lines with Matplotlib. The dash tuple is (offset, onoffseq) where, # onoffseq is an even length tuple of on and off ink in points. So let see the function in matplotlib to draw a line plot.
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