plt.title("Interactive Plot") plt.xlabel("X-axis") plt.ylabel("Y-axis") plt.savefig("foo.png", bbox_inches='tight') Output: 9将图例放在 plot 的不同位置importmatplotlib.pyplotasplt #Plot a line graph plt.plot([5,15], label='Rice') plt.plot([3,6], label='Oil') plt.plot([8...
9将图例放在 plot 的不同位置 importmatplotlib.pyplotasplt #Plot a line graph plt.plot([5,15],label='Rice')plt.plot([3,6],label='Oil')plt.plot([8.0010,14.2],label='Wheat')plt.plot([1.95412,6.98547,5.41411,5.99,7.9999],label='Coffee')# Add labels and title plt.title("Interactive Plo...
plt.plot([5, 15], label='Rice', c='0.15') plt.plot([3, 6], label='Oil', c='0.35') plt.plot([8.0010, 14.2], label='Wheat', c='0.55') plt.plot([1.95412, 6.98547, 5.41411, 5.99, 7.9999], label='Coffee', c='0.85') # Add labels and title plt.title("Interactive Plot")...
importmatplotlib.pyplot as plt#准备数据x = [1, 2, 3, 4, 5] y= [1, 4, 9, 16, 25]#创建折线图plt.plot(x, y)#设置图表标题plt.title('line example')#设置x轴和y轴标签plt.xlabel('x') plt.ylabel('y')#显示图表plt.show() 图示 五、其他 1、UserWarning: FigureCanvasAgg is non-in...
(8,6))bp=ax.boxplot([data1,data2],labels=['Group A','Group B'])# 添加图例ax.legend([bp['boxes'][0],bp['boxes'][1]],['Group A','Group B'],loc='upper right')# 设置标题和轴标签plt.title('Box Plot Example - how2matplotlib.com')plt.xlabel('Groups')plt.ylabel('Values')...
x=np.linspace(0,10,100)y=np.sin(x)plt.figure(figsize=(12,6))plt.plot(x,y)plt.title('Custom figure size - how2matplotlib.com')plt.xlabel('X-axis')plt.ylabel('Y-axis')plt.show() Python Copy Output: 这个例子展示了如何使用figsize参数来设置图表的大小。适当的图表大小可以确保图表在各种...
Pyplot is especially useful for interactive work,for example, when you’d like to explore a dataset or visually examine your simulation results. Pyplot对于交互式工作尤其有用,例如,当您希望浏览数据集或直观地检查模拟结果时。 We’ll be using Pyplot in all our data visualizations. 我们将在所有数据可...
import numpy as np import matplotlib.pyplot as plt import matplotlib.cbook as cbook # Load a numpy record array from yahoo csv data with fields date, open, close, # volume, adj_close from the mpl-data/example directory. The record array # stores the date as an np.datetime64 with a day...
Here we’ll learn to plot multiple time series in one plot using matplotlib. Example: # Import Librariesimport matplotlib.pyplot as plt import datetime import numpy as np import pandas as pd# Create figurefig = plt.figure(figsize=(12, 8))# Define Datadf1 = pd.DataFrame({'date': np.arra...
统计可视化：Seaborn 替代方案： 快速探索：Seaborn 高级接口 Web 交互：Plotly Upstream: Data prep (Pandas/NumPy) Downstream: Interactive: Plotly/Bokeh Statistical: Seaborn Alternatives: Quick exploration: Seaborn high-level API Web interactivity: Plotly 简单示例 Quick Example 注意事项 ...