Create a new Axes instance with an invisible x-axis and an independent y-axis positioned opposite to the original one (i.e. at right). The x-axis autoscale setting will be inherited from the original Axes. 大意就是
依赖pyplot自动创建figure和axes,并绘图 代码语言:javascript 代码运行次数:0 运行 AI代码解释 x=np.linspace(0,2,100)fig,ax=plt.subplots()ax.plot(x,x,label='linear')ax.plot(x,x**2,label='quadratic')ax.plot(x,x**3,label='cubic')ax.set_xlabel('x label')ax.set_ylabel('y label')ax....
G[0, :] = 图的第一行 (Axes 1) G[1, :-1] = 图的第二行,第二三列 (Axes 2) G[1:, -1] = 图的第二三行,第三列 (Axes 3) G[-1, 0] = 图的第三行,第一列 (Axes 4) G[-1, -2] = 图的第三行,第二列 (Axes 5) 大图套小图 第1 和 5 行分别用 plt.axes([l,b,w,...
labels=ax.set_xticklabels(['one','two','three','four','five'],rotation=30,fontsize='small') 3.4 设置非线性刻度 在一些情况下,我们对于坐标轴设置要用非线性的形式,如科学计数法、logit格式等,可以用plt.scale()来设置。 代码语言:javascript 代码运行次数:0 运行 AI代码解释 plt.scale('linear')p...
# 运行时配置参数# rcParams : runtime configuration Parameters# 如果浏览器不显示图片，就需要加上这句话%matplotlib inline# 让图片中可以显示中文plt.rcParams['font.sans-serif'] = "SimHei"# 让图片中可以显示负号plt.rcParams["axes.unicode_minus"] = False# 支持svg矢量图%config Inlinebackend.figure_...
[datetime.now()-timedelta(days=_) for _ in range(10)] xlabels = ["Zero", "One", "Two"...
gives two dimensional array with 2*2 matrix# need to provide ax also similar 2*2 matrix as belowfig, ((ax1, ax2), (ax3, ax4)) = plt.subplots(2, 2)# add the data to the plotsax1.plot(x, x**2)ax2.plot(x, x**3)ax3.plot(x, np.sin(x**2))ax4.plot(x, np.cos(x**...
(1,2) data = pd.DataFrame(rand(6,4), index = ['one','two','three','four','five','six'], columns = pd.Index(['A','B','C','D'], name = 'Genus')) data.plot(kind = 'bar', ax = axes[0], alpha = 0.5) data.plot(kind = 'bar', ax = axes[1], stacked = True...
Changed in version 1.0.0: Prior to Matplotlib 1.0.0, Axes3D needed to be directly instantiated with from mpl_toolkits.mplot3d import Axes3D; ax = Axes3D(fig). Changed in version 3.2.0: Prior to Matplotlib 3.2.0, it was necessary to explicitly import the mpl_toolkits.mplot3d module to...
data_two = np.arange(200,301)# 生成包含200~300的数组 plt.figure(facecolor='gray')# 创建背景为灰色的新画布 plt.plot(data_two)# 通过data2绘制折线图 plt.show() 1.2 通过 subplot()函数创建单个子图 nums = np.arange(0,101)# 生成0...