importmatplotlib.pyplotaspltimportnumpyasnp# 生成示例数据x=np.linspace(0,10,100)y=np.sin(x)# 创建图形并设置长宽比fig,ax=plt.subplots(figsize=(10,5))ax.plot(x,y)# 设置长宽比ax.set_aspect(aspect='equal')plt.show() 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 14. 15....
axes.plot(x,y,'o-r') # y轴的单位刻度显示长度 与 x轴的单位刻度显示长度 的比例 # 其他参数参考官网 axes.set_aspect(aspect=0.5) plt.show() 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 14. 15. axes.set_aspect()只设置第一项参数aspect,表示 y轴的单位刻度显示长度 是 x轴...
set_xticklabels(x_ticklabels) ax1.grid(True) ax1.set_aspect('equal') # 在右子图中绘制余弦函数曲线,设置为红色 ax2.plot(x, y_cos, color='red') ax2.set_title('Cosine function') ax2.set_xlabel('x') ax2.set_ylabel('f(x)', rotation='horizontal', ha='right') ax2.set_xlim(0...
# Get the axis from the array of axes returned when the plot is created if len(data) > 1: ax = axarr[idx] # Formatting to get rid of extra marking clutter ax.set_aspect('equal') ax.set_yticklabels([item[0]]) ax.set_yticks([1]) ax.spines['bottom'].set_visible(False) ax....
plt.savefig('plot_name.png', dpi=300) 对于Seaborn,可通过如下指令来修改图像的分辨率: importseabornassns sns.set(rc={"figure.dpi":300,"savefig.dpi":300}) 1.3 边距 一张图片的边距(margin)即为其上线左右的留白。在matplotlib默认情况下,图像的边距为: ...
# Import Data df = pd.read_csv("https://raw.githubusercontent.com/selva86/datasets/master/mpg_ggplot2.csv") df_select = df.loc[df.cyl.isin([4,8]),:] # Plot sns.set_style("white") gridobj = sns.lmplot(x="displ", y="hwy", hue="cyl", data=df_select, height=7, aspect=...
plot(r0 * np.cos(theta), r0 * np.sin(theta)) plt.show() 2. 饼图 代码语言:javascript 代码运行次数:0 运行 AI代码解释 fig, ax = plt.subplots(figsize=(6, 3), subplot_kw=dict(aspect="equal")) recipe = ["SST", "SLP", "UWND", "VWND", "HFLUX", "PRECIPITATION"] data = [...
importplotly.graph_objects as goimportpandas as pd#load datasetdf = pd.read_csv("https://raw.githubusercontent.com/plotly/datasets/master/volcano.csv")#create figurefig =go.Figure()#Add surface tracefig.add_trace(go.Surface(z=df.values.tolist(), colorscale="Viridis"))#Update plot sizing...
ax1.set_xlabel('身高(cm)') ax1.set_ylabel('人数') # 子图2 ax2.plot(weights.index, weights.values) ax2.set_title('运动员体重频数分布折线图') ax2.set_xlabel('体重(kg)') ax2.set_ylabel('人数') plt.show() 4. 绘制饼图
➤01 3D plot 1.基本语法 在安装matplotlib之后,自动安装有 mpl_toolkits.mplot3d。 #Importing Librariesimportmatplotlib.pyplotaspltfrommpl_toolkits.mplot3dimportaxes3d#3D Plottingfig=plt.figure()ax=plt.axes(projection="3d")#Labelingax.set_xlabel('X Axes')ax.set_ylabel('Y Axes')ax.set_zlabel...