In matplotlib, the legend is used to express the graph elements. We can set and adjust the legends anywhere in the plot. Sometimes, it is requisite to create a single legend with multiple plots. Let’s see an example: # Import Libraryimport matplotlib.pyplot as plt# Create figurefig = plt...
plt.title("Multiple Box Plots") plt.xlabel("Data") plt.ylabel("Values") # 设置 x 轴刻度标签 plt.xticks([1, 2, 3], ['Data 1', 'Data 2', 'Data 3']) # 显示图像 plt.show() Step2:箱体图预览效果 Step3:plt.boxplot常见参数 x:要绘制箱线图的数据(可以是单个数组或多个数组列表) not...
importmatplotlib.pyplot as plot labels= ['A','B','C'] values= [1, 2, 3] plot.figure(1, figsize=(9, 6)) plot.suptitle('Multiple Plots') plot.subplot(221) plot.bar(labels, values) plot.subplot(222) plot.scatter(labels, values) plot.subplot(223) plot.plot(labels, values) plot.s...
39、时间序列分解图 (Time Series Decomposition Plot) 时间序列分解图显示时间序列分解为趋势,季节和残差分量。 40、多个时间序列 (Multiple Time Series) 您可以绘制多个时间序列,在同一图表上测量相同的值,如下所示。 41、使用辅助 Y 轴来绘制不同范围的...
ax2.plot(-x1,-y1, color="red") ax3.plot(x2, y2, color="yellow") ax4.plot(x2,-y2) plt.show() This marks the end of theHow to create multiple Plots in Python Matplotlib Tutorial. Any suggestions or contributions for CodersLegacy are more than welcome. Questions regarding the tutoria...
带边界的气泡图(Bubble plot with Encircling) midwest = pd.read_csv("https://raw.githubusercontent.com/selva86/datasets/master/midwest_filter.csv") # Prepare Data # Create as many colors as there are unique midwest['category'] categories = np.unique(midwest['category']) ...
plt.plot([1,9,6,42,5,6]) #这里plot函数接受一个类数组数据,以其默认下标为横坐标,数值为纵坐标绘图 plt.show() 1. 2. 3. 4. 点击查看代码点击查看代码 import matplotlib.pyplot as plt import numpy as np fig=plt.figure()#画板 ax=plt.axes()#坐标轴 ...
>>> from pylab import *>>> help(plot)Help on function plot in module matplotlib.pyplot:plot(*args, **kwargs) Plot lines and/or markers to the :class:`~matplotlib.axes.Axes`. *args* is a variable length argument, allowing for multiple *x*, *y* pairs with an optional ...
# Plot plt.rcParams.update({'figure.figsize': (10,10)}) result.plot().suptitle('Time Series Decomposition of Air Passengers') plt.show() 40 多个时间序列 (Multiple Time Series) 可以绘制多个时间序列,在同一图表上测量相同的值,如下所示。
ax3.plot(wp, yap) ax3.set_ylabel('yA ()') ax3.set_xlabel('w (1000 ka)') ax4.plot(wp, pp) ax4.set_ylabel('E (bar)') ax4.set_xlabel('w (1000 kg)') plt.tight_layout() # Automatic adjustment of pyplot so ylabels dont overlap plt.subplots_adjust(top=0.9) # Adjust plots to...