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Matplotlib Articles
Page 64 of 91
Show Matplotlib graphs to image as fullscreen
To show matplotlib graphs as full screen, we can use full_screen_toggle() method.StepsCreate a figure or activate an existing figure using figure() method.Plot a line using two lists.Return the figure manager of the current figure.To toggle full screen image, use full_screen_toggle() method.To display the figure, use show() method.Examplefrom matplotlib import pyplot as plt plt.rcParams["figure.figsize"] = [7.00, 3.50] plt.rcParams["figure.autolayout"] = True plt.figure() plt.plot([1, 2], [1, 2]) manager = plt.get_current_fig_manager() manager.full_screen_toggle() plt.show()Output
Read MoreHow to make a 4D plot with Matplotlib using arbitrary data?
To make a 4D plot, we can create x, y, z and c standard data points. Create a new figure or activate an existing figure.StepsUse figure() method to create a figure or activate an existing figure.Add a figure as part of a subplot arrangement.Create x, y, z and c data points using numpy.Create a scatter plot using scatter method.To display the figure, use show() method.Examplefrom matplotlib import pyplot as plt import numpy as np plt.rcParams["figure.figsize"] = [7.00, 3.50] plt.rcParams["figure.autolayout"] = True fig = plt.figure() ax = fig.add_subplot(111, projection='3d') x = np.random.standard_normal(100) y = np.random.standard_normal(100) z = np.random.standard_normal(100) c = np.random.standard_normal(100) img = ax.scatter(x, ...
Read MoreHow to plot a very simple bar chart (Python, Matplotlib) using input *.txt file?
To plot a very simple bar chart from an input text file, we can take the following steps −Make an empty list for bar names and heights.Read a text file and iterate each line.Append names and heights into lists.Plot the bar using lists (Step 1).To display the figure, use show() method.Examplefrom matplotlib import pyplot as plt plt.rcParams["figure.figsize"] = [7.00, 3.50] plt.rcParams["figure.autolayout"] = True bar_names = [] bar_heights = [] for line in open("test_data.txt", "r"): bar_name, bar_height = line.split() bar_names.append(bar_name) bar_heights.append(bar_height) plt.bar(bar_names, bar_heights) plt.show()"test_data.txt" contains the following data −Javed 75 Raju 65 Kiran 55 Rishi 95Output
Read MoreHow to make two histograms have the same bin width in Matplotlib?
To make two histograms having same bin width, we can compute the histogram of a set of data.StepsCreate random data, a, and normal distribution, b.Initialize a variable, bins, for the same bin width.Plot a and bins using hist() method.Plot b and bins using hist() method.To display the figure, use show() method.Exampleimport numpy as np from matplotlib import pyplot as plt plt.rcParams["figure.figsize"] = [7.00, 3.50] plt.rcParams["figure.autolayout"] = True a = np.random.random(100) * 0.5 b = 1 - np.random.normal(size=100) * 0.1 bins = 10 bins = np.histogram(np.hstack((a, b)), bins=bins)[1] plt.hist(a, bins, edgecolor='black') plt.hist(b, bins, edgecolor='black') plt.show()Output
Read MoreHow to plot a rectangle inside a circle in Matplotlib?
To plot a rectangle inside a circle in matplotlib, we can take the following steps −Create a new figure or activate an existing figure using figure method.Add a subplot to the current axis.Make a rectangle and a circle instance using Rectangle() and Circle() class.Add a patch on the axes.Scale x and y axes using xlim() and ylim() methods.To display the figure, use show() method.Exampleimport matplotlib from matplotlib import pyplot as plt, patches plt.rcParams["figure.figsize"] = [7.00, 3.50] plt.rcParams["figure.autolayout"] = True fig = plt.figure() ax = fig.add_subplot(111) rect1 = patches.Rectangle((-2, -2), 4, 2, color='yellow') circle1 = matplotlib.patches.Circle((0, 0), radius=3, color='red') ax.add_patch(circle1) ax.add_patch(rect1) plt.xlim([-5, 5]) plt.ylim([-5, 5]) plt.axis('equal') plt.show()Output
Read MoreWhat is the difference betweent set_xlim and set_xbound in Matplotlib?
set_xlim − Set the X-axis view limits.set_xbound − Set the lower and upper numerical bounds of the X-axis.To set the xlim and xbound, we can take the following steps −Using subplots(2), we can create a figure and a set of subplots. Here, we are creating 2 subplots.Create x and y data points using numpy.Use axis 1 to plot x and y data points using plot() method.Set x limit using set_xlim() method.Use axis 2 to plot x and y data points using plot() method.Sex xbound using set_xbound() method.To display the figure, use show() method.Exampleimport numpy as np from matplotlib import pyplot as plt plt.rcParams["figure.figsize"] ...
Read MoreHow to animate a pcolormesh in Matplotlib?
To animate pcolormesh in matplotlib, we can take the following steps −Create a figure and a set of subplots.Create x, y and t data points using numpy.Create X3, Y3 and T3, return coordinate matrices from coordinate vectors using meshgrid.Create a pseudocolor plot with a non-regular rectangular grid using pcolormesh() method.Make a colorbar with colormesh axis.Animate pcolormesh using Animation() class method.To display the figure, use show() method.Exampleimport numpy as np from matplotlib import pyplot as plt, animation plt.rcParams["figure.figsize"] = [7.00, 3.50] plt.rcParams["figure.autolayout"] = True fig, ax = plt.subplots() x = np.linspace(-3, 3, 91) t = np.linspace(0, 25, 30) y = np.linspace(-3, 3, 91) X3, Y3, T3 = ...
Read MoreHow to set axis ticks in multiples of pi in Python Matplotlib?
To set axis ticks in multiples of pi in Python, we take following steps −Initialize a pi variable, create theta and y data points using numpy.Plot theta and y using plot() method.Get or set the current tick locations and labels of the X-axis using xticks() method.Convenience method to set or retrieve autoscaling margins using margins() method.To display the figure, use show() method.Exampleimport numpy as np from matplotlib import pyplot as plt plt.rcParams["figure.figsize"] = [7.00, 3.50] plt.rcParams["figure.autolayout"] = True pi = np.pi theta = np.arange(-2 * pi, 2 * pi+pi/2, step=(pi / 2)) y = np.sin(theta) plt.plot(theta, y) plt.xticks(theta, ['-2π', '-3π/2', 'π', ...
Read MoreHow to make hollow square marks with Matplotlib in Python?
To make hollow square marks with matplotlib, we can use marker 'ks', markerfacecolor='none', markersize=15, and markeredgecolor=red.StepsCreat x and y data points using numpy.Create a figure or activate an existing figure, add an axes to the figure as part of a subplot arrangement.Plot x and y data points using plot() method. To make hollow square marks, we can use marker "ks" and markerfacecolor="none", markersize="15" and markeredge color="red".To display the figure, use show() method.Exampleimport numpy as np from matplotlib import pyplot as plt plt.rcParams["figure.figsize"] = [7.00, 3.50] plt.rcParams["figure.autolayout"] = True x = np.linspace(-2, 2, 10) y = np.sin(x) fig = plt.figure() ax1 = ...
Read MoreHow to display all label values in Matplotlib?
To display all label values, we can use set_xticklabels() and set_yticklabels() methods.StepsCreate a list of numbers (x) that can be used to tick the axes.Get the axis using subplot() that helps to add a subplot to the current figure.Set the ticks on X and Y axes using set_xticks and set_yticks methods respectively and list x (from step 1).Set tick labels with label lists (["one", "two", "three", "four"]) and rotation of 45 using set_xticklabels() and set_yticklabels().To add space between axes and tick labels, we can use tick_params() method with pad argument that helps to add space. Argument direction (in) helps to put ticks inside ...
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