importmatplotlib.pyplotaspltimportnumpyasnp# 创建一个3x3的网格,但只使用其中的5个位置fig,axs=plt.subplots(3,3,figsize=(12,10))# 生成示例数据x=np.linspace(0,10,100)y1=np.sin(x)y2=np.cos(x)y3=np.tan(x)y4=np.exp(x)y5=np.log(x)# 在指定的子图位置绘制图形axs[0,0].plot(x,y1,...
importmatplotlib.pyplotaspltimportnumpyasnp x=np.linspace(0,10,100)y1=np.sin(x)y2=np.cos(x)plt.figure(figsize=(10,6))plt.plot(x,y1,color='red',label='Sin')plt.plot(x,y2,color='#0000FF',label='Cos')plt.title('How to set colors in Matplotlib - how2matplotlib.com')plt.legend...
importnumpyasnpimportmatplotlib.pyplotaspltfrommatplotlib.widgetsimportSlider,Button# 生成随机数据x=np.linspace(0,10,1000)# 生成 0 到 10 的 1000 个等间距数据点y=np.sin(x)# 计算每个数据点的正弦值# 创建图表fig,ax=plt.subplots()plt.subplots_adjust(bottom=0.25)# 调整底部空白line,=ax.plot(x,...
plot(x, y) scatter(x, y)# 使用 interact 来交互式的调试参数interact(test_interact,# 为每一个参数设定一个 interact 控件min_=IntSlider(min=1,# 最小值max=10,# 最大值step=1,# 每次调节的步长value=1),# 初始值max_=IntSlider(min=10,max=20, step=1, value=10), steps_=IntSlider(min=...
get_plot_commands()# 获取所有绘图命令的排序列表。 1. 2. 1、pyplot—创建画布、设定绘图区域、颜色系 1)创建 Figure([num,figsize,dpi,facecolor,...])# 创建一个新图形,或激活一个现有图形。 fignum_exists(num)# 返回具有给定id的图形是否存在。
From the above example, we conclude that by using the subplot_tool() function we can adjust spacing by using the slider. Read:Matplotlib plot bar chart Matplotlib subplot_adjust heightor hspace When we deal with subplots we have to plot multiple subplots in the figure area. Sometimes the prob...
6、Geoplotlib:andrea-cuttone/geoplotlib: python toolbox for visualizing geographical data and making maps 7、Gleam:dgrtwo/gleam: Creating interactive visualizations with Python8、missingno :ResidentMario/missingno: Missing data visualization module for Python....
Using AxesDivider to plot a colorbar Getting ready How to do it... How it works... Using ImageGrid to plot images with a colorbar in a grid Getting ready How to do it... How it works... Using inset_locator to zoom in on an image Getting ready How to do it... How it works...
with output: self.fig, self.ax = plt.subplots(constrained_layout=True, figsize=(5, 3.5)) self.line, = self.ax.plot(self.x, np.sin(self.x), initial_color) self.fig.canvas.toolbar_position = 'bottom' self.ax.grid(True) # define widgets int_slider = widgets.IntSlider( value=1, ...
# 向表单插入元素 with st.form("my_form1"): st.write("我在 1 框框里~") slider_v...