x=np.linspace(0,10,100)functions=[np.sin,np.cos,np.tan,np.exp,np.log]plt.figure(figsize=(12,8))forfuncinfunctions:plt.plot(x,func(x),label=f'{func.__name__}(x) - how2matplotlib.com')plt.title('Multiple Mathemat
plt.legend(bbox_to_anchor=(1.02, 0.1), loc='upper left', borderaxespad=0) 有关bbox_to_anchor()参数的详细说明,请参阅matplotlib 文档。 参考资料: [1] How to Change the Position of a Legend in Matplotlib - Statology
要用Line2D画:https://stackoverflow.com/questions/47391702/how-to-make-a-colored-markers-legend-from-scratch 调整宽度用legend的参数handlelength: https://stackoverflow.com/questions/66809947/matplotlib-change-length-of-legend-lines https://stackoverflow.com/questions/20048352/how-to-adjust-the-size-of...
However, the legend size is the default, which we would like to change. To alter the legend size, run the code below:sns.jointplot(df,x = "Age",y = "Weight", hue = "Sex") plt.legend(fontsize = "7") plt.show()As you will notice, we have significantly reduced the size of ...
Similarly, we can place the legend at any position in the figure by changing the value of the bbox_to_anchor parameter. The bbox_to_anchor parameter takes a tuple, representing the coordinate, where the corner specified by the loc parameter will be placed. import matplotlib.pyplot as plt ...
The radar charts are experimented with here to see if we can # nicely visualize how the modeled source profiles change across four # scenarios: # 1) No gas-phase species present, just seven particulate counts on # Sulfate # Nitrate # Elemental Carbon (EC) # Organic Carbon fraction 1 (OC...
ax.set_title('Volume and percent change') ax.grid(True) fig.tight_layout() plt.show() 堆叠图 堆叠图的作用和折线图非常类似,它采用的是stackplot()方法。 plt.stackplot(x, y, labels, colors) importmatplotlib.pyplot as plt#处理中文乱码plt.rcParams['font.sans-serif']=['SimHei'] ...
plt.legend() plt.savefig("scatter_demo1.png") 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 14. 15. 16. 17. 18. 19. 例子二: 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...
# let’s create a figure object# change the size of the figure is ‘figsize = (a,b)’ a is width and ‘b’ is height in inches# create a figure object and name it as figfig = plt.figure(figsize=(4,3))# create a sample dataX = np.array()Y = X**2# plot the figureplt....
(), panel.grid = element_blank(), plot.title = element_text(hjust = 0.5), legend.text = element_text(size = 7), legend.spacing.x = unit(0, "cm"), legend.key.height = unit(0.35, "cm"), legend.key.width = unit(0.5, "cm"), legend.position = c(0.95, 0.71), legend.back...