学习https://matplotlib.org/gallery/index.html 记录，描述不一定准确，具体请参考官网
Matplotlib使用总结图
%matplotlib inlineimport matplotlib.pyplot as pltplt.rcParams['font.sans-serif']=['SimHei'] # 用来正常显示中文标签plt.rcParams['axes.unicode_minus']=False # 用来正常显示负号import pandas as pdimport numpy as npimport osfrom matplotlib import font_manager as fm, rcParamsimport matplotlib.pyplot as pltfig, ax = plt.subplots()fpath = os.path.join(rcParams["datapath"], "fonts/ttf/cmr10.ttf")prop = fm.FontProperties(fname=fpath)fname = os.path.split(fpath)[1]ax.set_title('This is a special font: {}'.format(fname), fontproperties=prop)ax.set_xlabel('This is the default font')plt.show()# 显示数学文本t = np.arange(0.0, 2.0, 0.01)s = np.sin(2*np.pi*t)plt.plot(t,s)plt.title(r'$\alpha_i > \beta_i$', fontsize=20)plt.text(1, -0.6, r'$\sum_{i=0}^\infty x_i$', fontsize=20)plt.text(0.6, 0.6, r'$\mathcal{A}\mathrm{sin}(2 \omega t)$', fontsize=20)plt.xlabel('time (s)')plt.ylabel('volts (mV)')plt.show()import matplotlib.patches as patches# build a rectangle in axes coordsleft, width = .25, .5bottom, height = .25, .5right = left + widthtop = bottom + heightfig = plt.figure()ax = fig.add_axes([0,0,1,1])# axes coordinates are 0,0 is bottom left and 1,1 is upper rightp = patches.Rectangle( (left, bottom), width, height, fill=False, transform=ax.transAxes, clip_on=False )ax.add_patch(p)ax.text(left, bottom, 'left top', horizontalalignment='left', verticalalignment='top', transform=ax.transAxes)ax.text(left, bottom, 'left bottom', horizontalalignment='left', verticalalignment='bottom', transform=ax.transAxes)ax.text(right, top, 'right bottom', horizontalalignment='right', verticalalignment='bottom', transform=ax.transAxes)ax.text(right, top, 'right top', horizontalalignment='right', verticalalignment='top', transform=ax.transAxes)ax.text(right, bottom, 'center top', horizontalalignment='center', verticalalignment='top', transform=ax.transAxes)ax.text(left, 0.5*(bottom+top), 'right center', horizontalalignment='right', verticalalignment='center', rotation='vertical', transform=ax.transAxes)ax.text(left, 0.5*(bottom+top), 'left center', horizontalalignment='left', verticalalignment='center', rotation='vertical', transform=ax.transAxes)ax.text(0.5*(left+right), 0.5*(bottom+top), 'middle', horizontalalignment='center', verticalalignment='center', fontsize=20, color='red', transform=ax.transAxes)ax.text(right, 0.5*(bottom+top), 'centered', horizontalalignment='center', verticalalignment='center', rotation='vertical', transform=ax.transAxes)ax.text(left, top, 'rotated\nwith newlines', horizontalalignment='center', verticalalignment='center', rotation=45, transform=ax.transAxes)ax.set_axis_off()plt.show()from __future__ import print_functionimport numpy as npimport matplotlib.cbook as cbookimport matplotlib.image as imageimport matplotlib.pyplot as plt# Fixing random state for reproducibilitynp.random.seed(19680801)datafile = cbook.get_sample_data('logo2.png', asfileobj=False)print('loading %s' % datafile)im = image.imread(datafile)im[:, :, -1] = 0.5 # set the alpha channelfig, ax = plt.subplots()# ax.plot(np.random.rand(20), '-o', ms=20, lw=2, alpha=0.7, mfc='orange')ax.plot(np.random.rand(20), '-o', ms=20, lw=2, alpha=0.7,mfc='orange')ax.grid()# 添加水印fig.figimage(im, 10, 10, zorder=3)plt.show()loading F:\Anaconda\lib\site-packages\matplotlib\mpl-data\sample_data\logo2.pngfig = plt.figure()fig.suptitle('bold figure suptitle', fontsize=14, fontweight='bold')ax = fig.add_subplot(111)fig.subplots_adjust(top=0.85)ax.set_title('axes title')ax.set_xlabel('xlabel')ax.set_ylabel('ylabel')ax.text(3, 8, 'boxed italics text in data coords', style='italic', bbox={'facecolor':'red', 'alpha':0.5, 'pad':10})ax.text(2, 6, r'an equation: $E=mc^2$', fontsize=15)ax.text(3, 2, u'unicode: Institut f\374r Festk\366rperphysik')ax.text(0.95, 0.01, 'colored text in axes coords', verticalalignment='bottom', horizontalalignment='right', transform=ax.transAxes, color='green', fontsize=15)ax.plot([2], [1], 'o')# 注释ax.annotate('我是注释啦', xy=(2, 1), xytext=(3, 4),color='r',size=15, arrowprops=dict(facecolor='g', shrink=0.05))ax.axis([0, 10, 0, 10])plt.show()
import numpy as npimport matplotlib.pyplot as pltx = np.arange(0, 10, 0.005)y = np.exp(-x/2.) * np.sin(2*np.pi*x)fig = plt.figure()ax = fig.add_subplot(111)# plt.subplot(221) # 这种方式和上面的add_subplot() 定义相同，都是添加子图ax.plot(x, y)# 设置坐标轴刻度ax.set_xlim(0, 10)ax.set_ylim(-1, 1)xdata, ydata = 5, 0xdisplay, ydisplay = ax.transData.transform_point((xdata, ydata))bbox = dict(boxstyle="round", fc="0.8")arrowprops = dict( arrowstyle = "->", connectionstyle = "angle,angleA=0,angleB=90,rad=10")offset = 72ax.annotate('data = (%.1f, %.1f)'%(xdata, ydata), (xdata, ydata), xytext=(-1.5*offset, offset), textcoords='offset points', bbox=bbox, arrowprops=arrowprops)disp = ax.annotate('display = (%.1f, %.1f)'%(xdisplay, ydisplay), (xdisplay, ydisplay), xytext=(0.5*offset, -offset), xycoords='figure pixels', textcoords='offset points', bbox=bbox, arrowprops=arrowprops)plt.show()fig = plt.figure()ax = fig.add_subplot(111, polar=True) # 雷达图# ax = fig.add_subplot(111) # 正常四方形r = np.arange(0,1,0.001)theta = 2 * 2*np.pi * rline, = ax.plot(theta, r, color='#ee8d18', lw=3)ind = 800thisr, thistheta = r[ind], theta[ind]ax.plot([thistheta], [thisr], 'o') # 画蓝点# 画注释箭头ax.annotate('a polar annotation', xy=(thistheta, thisr), # theta, radius xytext=(0.05, 0.05), # fraction, fraction textcoords='figure fraction', arrowprops=dict(facecolor='black', shrink=0.05), horizontalalignment='left', verticalalignment='bottom', )plt.show()联系客服
