Anatomy of a figure |
您所在的位置：网站首页 › chart figure diagram › Anatomy of a figure |
|
Note Go to the end to download the full example code Anatomy of a figure#This figure shows the name of several matplotlib elements composing a figure import numpy as np import matplotlib.pyplot as plt from matplotlib.patches import Circle from matplotlib.patheffects import withStroke from matplotlib.ticker import AutoMinorLocator, MultipleLocator royal_blue = [0, 20/256, 82/256] # make the figure np.random.seed(19680801) X = np.linspace(0.5, 3.5, 100) Y1 = 3+np.cos(X) Y2 = 1+np.cos(1+X/0.75)/2 Y3 = np.random.uniform(Y1, Y2, len(X)) fig = plt.figure(figsize=(7.5, 7.5)) ax = fig.add_axes([0.2, 0.17, 0.68, 0.7], aspect=1) ax.xaxis.set_major_locator(MultipleLocator(1.000)) ax.xaxis.set_minor_locator(AutoMinorLocator(4)) ax.yaxis.set_major_locator(MultipleLocator(1.000)) ax.yaxis.set_minor_locator(AutoMinorLocator(4)) ax.xaxis.set_minor_formatter("{x:.2f}") ax.set_xlim(0, 4) ax.set_ylim(0, 4) ax.tick_params(which='major', width=1.0, length=10, labelsize=14) ax.tick_params(which='minor', width=1.0, length=5, labelsize=10, labelcolor='0.25') ax.grid(linestyle="--", linewidth=0.5, color='.25', zorder=-10) ax.plot(X, Y1, c='C0', lw=2.5, label="Blue signal", zorder=10) ax.plot(X, Y2, c='C1', lw=2.5, label="Orange signal") ax.plot(X[::3], Y3[::3], linewidth=0, markersize=9, marker='s', markerfacecolor='none', markeredgecolor='C4', markeredgewidth=2.5) ax.set_title("Anatomy of a figure", fontsize=20, verticalalignment='bottom') ax.set_xlabel("x Axis label", fontsize=14) ax.set_ylabel("y Axis label", fontsize=14) ax.legend(loc="upper right", fontsize=14) # Annotate the figure def annotate(x, y, text, code): # Circle marker c = Circle((x, y), radius=0.15, clip_on=False, zorder=10, linewidth=2.5, edgecolor=royal_blue + [0.6], facecolor='none', path_effects=[withStroke(linewidth=7, foreground='white')]) ax.add_artist(c) # use path_effects as a background for the texts # draw the path_effects and the colored text separately so that the # path_effects cannot clip other texts for path_effects in [[withStroke(linewidth=7, foreground='white')], []]: color = 'white' if path_effects else royal_blue ax.text(x, y-0.2, text, zorder=100, ha='center', va='top', weight='bold', color=color, style='italic', fontfamily='Courier New', path_effects=path_effects) color = 'white' if path_effects else 'black' ax.text(x, y-0.33, code, zorder=100, ha='center', va='top', weight='normal', color=color, fontfamily='monospace', fontsize='medium', path_effects=path_effects) annotate(3.5, -0.13, "Minor tick label", "ax.xaxis.set_minor_formatter") annotate(-0.03, 1.0, "Major tick", "ax.yaxis.set_major_locator") annotate(0.00, 3.75, "Minor tick", "ax.yaxis.set_minor_locator") annotate(-0.15, 3.00, "Major tick label", "ax.yaxis.set_major_formatter") annotate(1.68, -0.39, "xlabel", "ax.set_xlabel") annotate(-0.38, 1.67, "ylabel", "ax.set_ylabel") annotate(1.52, 4.15, "Title", "ax.set_title") annotate(1.75, 2.80, "Line", "ax.plot") annotate(2.25, 1.54, "Markers", "ax.scatter") annotate(3.00, 3.00, "Grid", "ax.grid") annotate(3.60, 3.58, "Legend", "ax.legend") annotate(2.5, 0.55, "Axes", "fig.subplots") annotate(4, 4.5, "Figure", "plt.figure") annotate(0.65, 0.01, "x Axis", "ax.xaxis") annotate(0, 0.36, "y Axis", "ax.yaxis") annotate(4.0, 0.7, "Spine", "ax.spines") # frame around figure fig.patch.set(linewidth=4, edgecolor='0.5') plt.show()References The use of the following functions, methods, classes and modules is shown in this example: matplotlib.pyplot.figure matplotlib.axes.Axes.text matplotlib.axis.Axis.set_minor_formatter matplotlib.axis.Axis.set_major_locator matplotlib.axis.Axis.set_minor_locator matplotlib.patches.Circle matplotlib.patheffects.withStroke matplotlib.ticker.FuncFormatter Total running time of the script: ( 0 minutes 1.061 seconds) Download Python source code: anatomy.py Download Jupyter notebook: anatomy.ipynb Gallery generated by Sphinx-Gallery |
| CopyRight 2018-2019 办公设备维修网 版权所有 豫ICP备15022753号-3 |