Matlab plot multiple lines

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Matlab plot multiple lines

Edited: MathWorks Support Team on 22 May 2019 I have a matrix with several 5 layers. I want to plot the numbers at a specific gridpoint for layers 2,3, and 4. How would I go about doing this? Thanks for the help! How to make a Line and Scatter graphs in MATLAB?. % Learn about API authentication here: % Find your api_key here: D = [0 4 8 12 16 20 24 28 32]; F = [0 .23 .36 .43 .52 .64 .78 .85 .92]; plot(D,F,'.b') p = polyfit(D,F,1) f = polyval(p,D); hold on plot(D,f,'--r') resp = fig2plotly; plotly_url = resp.url; Inspired from Matlab Forum % Learn about API authentication here: % Find your api_key here: x = linspace(0,4*pi,10); A = 2, B = 3, C = 1; y = A * x.^2 + B * x + C p = polyfit(x,y,2); k = polyval(p,x) fig = figure; hold on plot(x,y,'ro') plot(x,k,'b-') hold off resp = fig2plotly(fig, 'strip',false) plotly_url = resp.url; % Learn about API authentication here: % Find your api_key here: load gas fig = figure; qqplot(price1,price2); title('Quantile Quantile Plot with two distributions') resp = fig2plotly(fig, 'strip',false) plotly_url = resp.url % Learn about API authentication here: % Find your api_key here: x = 1:1:100; y = randi(100,1,100) fig = figure; hold on scatter(x,y); plot(x+2,y) hold off resp = fig2plotly(fig) plotly_url = resp.url % Learn about API authentication here: % Find your api_key here: x = linspace(1,10,10) y = randi(10,1,10) x1 = linspace(1,2*pi, 100) fig = figure; hold on plot(x,y) plot([1 10],[5 5]) plot([-5 5],[1 10]) plot(x1, sin(x1)) plot(x1, exp(x1)) xlim([-6 10]) ylim([-10 10]) hold off; resp = fig2plotly(fig, 'strip',false) plotly_url = resp.url; MATLAB is a registered trademark of The MathWorks, Inc. This page describes how to plot y1 = f1(x), y2 = f2(x), ... yn = fn(x) on the same plot, and how to label these curves with the legend command. Passing multiple data pairs to the plot command The plot command will put multiple curves on the same plot with the following syntax plot(x1,y1,s1,x2,y2,s2,x3,y3,s3,...) where the first data set (x1,y1) is plotted with symbol definition s1, the second data set (x2,y2) is plotted with symbol definition s2, etc. The separate curves are labeled with the legend command as demonstrated in the following example. Note that x1, x2, ... etc need not be the same vector. Each pair of vectors, (x1,y1), (x2,y2), etc. must have the same length. In other words the length of x1 and y1 must be the same. The length of x2 and y2 must be the same, but can be different from the length of x1 and y1. The legend command The legend is used to label the different data curves when more than one curve is drawn on the same plot. The syntax is legend('label1','label2',...) Where label1, etc are strings used to create the legend. This is best demonstrated by an example, which follows. An example of putting multiple curves on a plot Here are the MATLAB commands to create a symbol plot with the data generated by adding noise to a known function. The original function is drawn with a solid line and the function plus noise is plotted with open circles. These commands are also in the script file noisyDataLine.m for you to download. >> x = 0:0.01:2; % generate the x-vector >> y = 5*x.*exp(-3*x); % and the "true" function, y >> yn = y + 0.02*randn(size(x)); % Create a noisy version of y >> plot(x,y,'-',x,yn,'ro'); % Plot the true and the noisy >> xlabel('x (arbitrary units)'); % add axis labels and plot title >> ylabel('y (arbitrary units)'); >> title('Plot of y = 5*x*exp(-3*x) + noise'); >> legend('true y','noisy y'); Note that the ``.*'' operator is necessary when multiplying the vector x by the vector exp(-3*x). The preceding statments create the following plot. [Preceding Section] [Master Outline] [Section Outline] [Next Section] Colors from optimal colors. Generate A line plot with multiple lines using safe colors, with differening shapes. Figures include lines as well as scatter overlayed jointly. close all figure(); hold on; blue = [57 106 177]./255; red = [204 37 41]./255; black = [83 81 84]./255; green = [62 150 81]./255; brown = [146 36 40]./255; purple = [107 76 154]./255; cl_colors = {blue, red, black, ... green, brown, purple}; cl_legend = {'For Borr', 'Inf Borr', 'For+Inf Br', 'For+Br+Save', 'Bridge Loan', 'For Save'}; cl_scatter_shapes = {'s','x','o','d','p','*'}; cl_linestyle = {'--','-',':','-.','--','-'}; it_sca_bs = 20; cl_scatter_csizes = {10*it_sca_bs, 20*it_sca_bs, 10*it_sca_bs, 10*it_sca_bs, 5*it_sca_bs, 8*it_sca_bs}; it_line_bs = 2; cl_line_csizes = {1*it_line_bs, 2*it_line_bs, 1*it_line_bs, 1*it_line_bs, 1*it_line_bs, 2*it_line_bs}; it_x_groups_n = length(cl_scatter_csizes); it_x_n = 10; % Generate Random Data rng(123); mat_y = rand([it_x_n, it_x_groups_n]); mat_y = mat_y + sqrt(1:it_x_groups_n); mat_y = mat_y + log(1:it_x_n)'; ar_x = 1:1:it_x_n; ar_it_graphs_run = 1:6; it_graph_counter = 0; ls_chart = []; for it_fig = ar_it_graphs_run % Counter it_graph_counter = it_graph_counter + 1; % Y Outcome ar_y = mat_y(:, it_fig)'; % Color and Size etc it_csize = cl_scatter_csizes{it_fig}; ar_color = cl_colors{it_fig}; st_shape = cl_scatter_shapes{it_fig}; st_lnsty = cl_linestyle{it_fig}; st_lnwth = cl_line_csizes{it_fig}; % plot scatter and include in legend ls_chart(it_graph_counter) = scatter(ar_x, ar_y, it_csize, ar_color, st_shape); % plot line do not include in legend line = plot(ar_x, ar_y); line.HandleVisibility = 'off'; line.Color = ar_color; line.LineStyle = st_lnsty; line.HandleVisibility = 'off'; line.LineWidth = st_lnwth; % Legend to include cl_legend{it_graph_counter} = cl_legend{it_fig}; end % Legend legend(ls_chart, cl_legend, 'Location', 'southeast'); % labeling title('Optimal Savings'); ylabel('Savings Levels'); xlabel('Cash-on-Hand Today'); grid on; snapnow; Draw x and y axis, and draw a 45 degree line. figure(); xline0 = xline(0); xline0.HandleVisibility = 'off'; xline0.Color = red; xline0.LineStyle = '--'; yline0 = yline(0); yline0.HandleVisibility = 'off'; yline0.LineWidth = 1; hline = refline([1 0]); hline.Color = 'k'; hline.LineStyle = ':'; hline.HandleVisibility = 'off'; snapnow; grid on; grid minor; So I normally plot multiple data sets with a for loop like this:But I've noticed that this is a bit slow, is there a faster way to do this? Thanks! # libraries import matplotlib.pyplot as plt import numpy as np import pandas as pd # Data df=pd.DataFrame({'x_values': range(1,11), 'y1_values': np.random.randn(10), 'y2_values': np.random.randn(10)+range(1,11), 'y3_values': np.random.randn(10)+range(11,21) }) # multiple line plots plt.plot( 'x_values', 'y1_values', data=df, marker='o', markerfacecolor='blue', markersize=12, color='skyblue', linewidth=4) plt.plot( 'x_values', 'y2_values', data=df, marker='', color='olive', linewidth=2) plt.plot( 'x_values', 'y3_values', data=df, marker='', color='olive', linewidth=2, linestyle='dashed', label="toto") # show legend plt.legend() # show graph plt.show() The ThingSpeak community site has been upgraded to a new site. This site is currently in read-only mode. You can ask questions or post and read discussions on the new site. MembersModerators Member Since: March 7, 2017 Offline 1 Showing multiple lines on a ThingSpeak plot required the creation of an array. Now that the Visualization functions a deprecated, its actually much easier to plot multiple lines using the MATLAB plot function. In response to some user feedback (thanks), here is an update to the example for plotting three days of temperature from the MathWorks weatherstation. % Channel ID to read data from readChannelID = 12397; % Temperature Field ID myFieldID = 4; % One day date range oneDay = [datetime('yesterday') datetime('today')]; readAPIKey = ''; Please log in or register to answer this question. Your comment on this answer: Plot Multiple lines in MatplotlibIn this article, we will learn how to plot multiple lines using matplotlib in Python. Let's discuss some concepts:Matplotlib: Matplotlib is an amazing visualization library in Python for 2D plots of arrays. Matplotlib is a multi-platform data visualization library built on NumPy arrays and designed to work with the broader SciPy stack. It was introduced by John Hunter in the year 2002.Line plot: Line plots can be created in Python with Matplotlib's pyplot library. To build a line plot, first import Matplotlib. It is a standard convention to import Matplotlib's pyplot library as plt. The plt alias will be familiar to other Python programmers.Here we will discuss some examples to draw a line or multiple lines with different features. To do such work we must follow the steps given below:Import libraries.Create Data.Plot the lines over data.Plotting a single Horizontal LineIn this example, we will learn how to draw a horizontal line with the help of matplotlib. Here we will use two lists as data for two dimensions (x and y) and at last plot the line. For making a horizontal line we have to change the value of the x-axis continuously by taking the y-axis as constant.import matplotlib.pyplot as pltx = [10,20,30,40,50]y = [30,30,30,30,30]plt.plot(x, y)plt.show()Output:Plotting a single Vertical LineIn this example, we will learn how to draw a vertical line with the help of matplotlib. Here we will use two lists as data with two dimensions (x and y) and at last plot the line. For making a vertical line we have to change the value of the y-axis continuously by taking the x-axis as constant. So we change the axes to get a vertical line.import matplotlib.pyplot as pltx = [10,20,30,40,50]y = [30,30,30,30,30]plt.plot(y,x)plt.show()Output:Plotting a Horizontal and a Vertical Line In this example, we will learn how to draw a horizontal line and a vertical line both in one graph with the help of matplotlib. Here we will use two list as data with two dimensions (x and y) and at last plot the line with respect to the dimensions. So, in this example we merge the above both graphs to make both lines together in a graph.import matplotlib.pyplot as pltx = [10,20,30,40,50]y = [30,30,30,30,30]plt.plot(x, y, label = "line 1")plt.plot(y, x, label = "line 2")plt.legend()plt.show()Output:Plotting Multiple LinesIn this example, we will learn how to draw multiple lines with the help of matplotlib. Here we will use two lists as data with two dimensions (x and y) and at last plot the lines as different dimensions and functions over the same data.To draw multiple lines we will use different functions which are as follows:y = xx = yy = sin(x)y = cos(x)import matplotlib.pyplot as pltimport numpy as npx = [1,2,3,4,5]y = [3,3,3,3,3]plt.plot(x, y, label = "line 1")plt.plot(y, x, label = "line 2")plt.plot(x, np.sin(x), label = "curve 1")plt.plot(x, np.cos(x), label = "curve 2")plt.legend()plt.show()Output:Plotting Multiple Lines with different Line stylesThis example is similar to the above example and the enhancement is the different line styles. This can help in the modification of better visualization. Here we will use different line styles which are as follows:? : dashed-- : double dashed-. : dashed-dotted: : dottedimport matplotlib.pyplot as pltimport numpy as npx = [1,2,3,4,5]y = [3,3,3,3,3]plt.plot(x, y, label = "line 1", linestyle="-")plt.plot(y, x, label = "line 2", linestyle="-")plt.plot(x, np.sin(x), label = "curve 1", linestyle="-.")plt.plot(x, np.cos(x), label = "curve 2", linestyle=":")plt.legend()plt.show()Output: Attention geek! Strengthen your foundations with the Python Programming Foundation Course and learn the basics. To begin with, your interview preparations Enhance your Data Structures concepts with the Python DS Course. And to begin with your Machine Learning Journey, join the Machine Learning ? Basic Level Course

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