Creating Scatter PlotsWith Pyplot, you can use the scatter() function to draw a scatter plot.The scatter() function plots one dot for each observation. It needs two arrays of the same length, one for the values of the x-axis, and one for values on the y-axis:...
scatter函数是绘制散点图的主要方法,它允许我们轻松地控制每个点的大小。 importmatplotlib.pyplotaspltimportnumpyasnp x=np.linspace(0,10,10)y=np.sin(x)plt.figure(figsize=(10,6))plt.scatter(x,y,s=100,label='how2matplotlib.com')plt.title('Scatter Plot with Bigger Dots')plt.xlabel('X-axis'...
plt.title("Scatterplot of Midwest Area vs Population", fontsize=22) plt.legend(fontsize=12) plt.show() 2. 带边界的气泡图 有时,您希望在边界内显示一组点以强调其重要性。在此示例中,您将从应该被环绕的数据帧中获取记录,并将其传递给下面的代码中描述的记录。encircle() 1 2 3 4 5 6 7 8 ...
# Step 2: Draw Scatterplot with unique color for each category fig = plt.figure(figsize=(16, 10), dpi= 80, facecolor='w', edgecolor='k') for i, category in enumerate(categories): plt.scatter('area', 'poptotal', data=midwest.loc[midwest.category==category, :], s='dot_size', c...
T = np.arctan2(Y, X)#alpha is transparent ability of dots#c reprensents color of dotsplt.scatter(X, Y, s=50, c=T, alpha=.4, marker='o') plt.xlabel('x') plt.ylabel('y') plt.title('Interesting Graph\nCheck it out') ...
plt.plot(data_x,data_y,label=label) plt.legend(loc="upper right")#这里的loc设置图例在右上方 plt.show() #保存图片,这一步要把上面的plt.show()给注释掉,防止保存为空白文件 plt.savefig(r"C:/Users/kjl/Desktop/demo.jpg") ##也可以保存为pdf文件,同时设置高dpi(dots per inch)来保持清晰度,并...
在Axes对象上使用绘图函数(如plot()、scatter())绘制图形。 所有的图形元素都被添加到Axes对象中。 ax.plot([1, 2, 3, 4], [2, 4, 1, 3]) 3 配置坐标轴和刻度: 配置Axis对象以设置坐标轴的外观、范围和标签。 设置Tick对象以调整刻度的位置和显示。
In the above example, we use thelegend()method to add a legend to the scatter plot. We passlocas a parameter and set its value to thelower right. We also use thezorderparameter to get a legend above the scatter dots. plt.legend(loc= ‘lower right’) ...
Matplotlib tutorial for beginner. Contribute to rougier/matplotlib-tutorial development by creating an account on GitHub.
1. 散点图(Scatter plot) 2. 带边界的气泡图(Bubble plot with Encircling) 3. 带线性回归最佳拟合线的散点图 (Scatter plot with linear regression line of best fit) 4. 抖动图 (Jittering with stripplot) 5. 计数图 (Counts Plot) 6. 边缘直方图 (Marginal Histogram) 7. 边缘箱形图 (Marginal Box...