ax.plot(x, np.cos(x), lw=3, label='Cosine')#设置网格ax.grid(True)#设置图例ax.legend(frameon=False)#设置坐标轴等距ax.axis('equal')#设置x坐标轴上下限ax.set_xlim(0,3* np.pi) #自定义坐标标签#使用美元符号$将LaTex字符串括起来,可以显示数学符号和公式:$\pi$defformat_func(value, tick_...
ax.xaxis.set_ticks_position('top')# x刻度颜色设置为灰色,大小为12ax.tick_params(axis='x',colors='#777777',labelsize=12)# 去掉y刻度 ax.set_yticks([])# 设置 xy轴内边距 ax.margins(0,0.01)# 显示网格(x轴向虚线) ax.grid(which='major',axis='x',linestyle='--')# 网格线至于底部 a...
代码运行次数:0 defplot_and_save(percentages,output_directory,filename,title,legend,x_label,y_label,font_size=16):"""Plot data and save figure to file."""matplotlib.rcParams['font.size']=font_size ax1=percentages.plot.bar(color=['#484D7A','#F6A124'])ax1.grid(which='major',axis='y...
faces = fetch_olivetti_faces().images for i in range(5): for j in range(5): #隐藏x和y轴刻度和标签 ax[i,j].xaxis.set_major_locator(plt.NullLocator()) ax[i,j].yaxis.set_major_locator(plt.NullLocator()) ax[i,j].imshow(faces[10 * i + j], cmap='bone') 1. 2. 3. 4. 5...
axins.set_ylim(y1, y2)#fix the number of ticks on the inset axesaxins.yaxis.get_major_locator().set_params(nbins=10) axins.xaxis.get_major_locator().set_params(nbins=10) plt.xticks(visible=True) plt.yticks(visible=True)#draw a bbox of the region of the inset axes in the pare...
axins.plot(x,y)# sub region of the original image x1, x2, y1, y2 = 2.5, 7.5, 2.5, 7.5 axins.set_xlim(x1, x2)axins.set_ylim(y1, y2)# fix the number of ticks on the inset axes axins.yaxis.get_major_locator().set_params(nbins=10)axins.xaxis.get_major_locator()....
代码: frommatplotlibimportpyplotasplt# 支持中文plt.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classLineDrawer(object):def__init__(self,line,axis,figure):# 将line(Line2D(matplotlib.artist.Artist)作为该类的一个属性,该...
for i in range(len(cols)): for j in range(i, len(cols)): tukey.iloc[i, j] = np.nan fix, ax = plt.subplots(figsize=(12, 6)) heatmap_args = {'linewidths': 0.35, 'linecolor': 'white', 'clip_on': False, 'square': True, ...
ax.xaxis.set_major_locator(MultipleLocator(1)) # 自动绘制刻度的话显示的可能比较分散,不好看 # ax.xaxis.set_major_locator(mdates.AutoDateLocator()) # 在折线图上显示数值 for i in range(len(x)): # 每个点都展示数据 plt.text( x[i], y[i], str(y[i]), ha='left', va='bottom' )...
If you are using version prior to matplotlib 2.1, matplotlib does not take string values in x-axis in bar graph so we need to find workaround to solve this problem. Solution is to show string values as labels and range(len(x)) would display values through 1 to 5 in x-axis. plt.xti...