figureimagemarkerplotsubplot 1. pyplot模块 1.1. color的值 blue 1.2. Marker的值 point marker 1.3. LineStyles的值 solid line style 例子: 'b' # blue markers with default shape 'ro' # red circles 'g-' # green solid line '--' # dashed line with default color 'k^:' # black triangle_...
It's a shortcut string notation described in the *Notes* section below. >>> plot(x, y) # plot x and y using default line style and color >>> plot(x, y, 'bo') # plot x and y using blue circle markers >>> plot(y) # plot y using x as index array 0..N-1 >>> plot(...
To plot only the markers, you can useshortcut string notationparameter 'o', which means 'rings'. Example Draw two points in the diagram, one at position (1, 3) and one in position (8, 10): importmatplotlib.pyplotasplt importnumpyasnp ...
plt.plot()调整颜色与风格 Markers Line Styles Colors 从点到线 误差线 plt.errorbar() 连续误差线 三维数据可视化 plt.imshow() 图例的设置 图例位置legend loc参数 点的大小图例 多个图例的设置 自定义彩条 plt.colorbar.colorbar() cmap展示 范围较大的处理 离散色标 坐标轴设置 大小刻度线 影藏刻度或标签...
plt.plot()函数可以通过相应的参数设置绘图风格。 plt.plot(*args, scalex=True, scaley=True, data=None, **kwargs) Docstring: Plot y versus xaslinesand/ormarkers. Call signatures:: plot([x], y, [fmt], *, data=None, **kwargs)
Style Control: Line styles, colors, markers, transparency Annotations: Arrows, text labels, LaTeX equations 技术实现特点 Technical Implementation Features 面向对象 API：底层通过 `Figure` 和 `Axes` 对象精细控制 多后端支持：可输出 PNG/PDF/SVG 或嵌入 GUI（如 Tkinter） 与其他库集成： Pandas...
a legend entry for a `.PathCollection` (scatter plot). Default is ``None``, which will take the value from :rc:`legend.scatterpoints`. scatteryoffsets : iterable of floats The vertical offset (relative to the font size) for the markers ...
plot(x,y)# plot x and y usingdefaultline style and colorplot(x,y,‘bo’)# plot x and y using blue circle markersplot(y)# plot y using x as index array0..N-1plot(y,‘r+’)# ditto,butwithredplusses 1. 2. 3. 4.
2.Bar Plot 条形图显示具有与其表示的值成比例的矩形高度或长度条的分类数据。 代码语言:javascript 代码运行次数:0 运行 AI代码解释 # Bar plot.# Importing matplotlib to plot the graphs.importmatplotlib.pyplotasplt # Importing pandasforusing pandas dataframes.importpandasaspd ...
ax = sns.scatterplot(data=plot_df, x="x", y="y", hue='VP', palette='Spectral', style="label", markers=['^', 'o'], s=100) ax.set(xlabel=None, ylabel=None) ax.set_aspect('equal', 'datalim') # sns.move_legend(ax, bbox_to_anchor=(1.01, 1.01), loc='upper left') ...