Next, we have created a user-defined function named legend_outside. The void function takes two arguments: x,y1, and y2. Under this function, we have first defined the figure object using the figure function of pyplot. We also defined the figure’s size using the function’s figsize attr...
plt.title('Interesting Graph',fontsize='large',fontweight='bold') 设置字体大小与格式 plt.title('Interesting Graph',color='blue') 设置字体颜色 plt.title('Interesting Graph',loc ='left') 设置字体位置 plt.title('Interesting Graph',verticalalignment='bottom') 设置垂直对齐方式 plt.title('Interesti...
We can add a legend to the plot using the matplotlib module. We use thematplotlib.pyplot.legend()method to mark out and label the elements of the graph. The syntax to add a legend to the plot: matplotlib.pyplot.legend(["Title"], ncol=1, loc="upper left", bbox_to_anchor=(1,1))...
To modify the size of legend label text, we passpropargument to legend method. We passsizeas a key and15as value to prop dict. To add a title, we usetitle()function. To add labels at axes, we usexlabel()andylabel()function. To visualize the graph on user’s screen, we useshow()...
import numpy as np import matplotlib.pyplot as plt plt.rcParams['legend.fontsize'] = 10 fig = plt.figure() ax = fig.gca(projection='3d') # Prepare arrays x, y, z theta = np.linspace(-4 * np.pi, 4 * np.pi, 100) z = np.linspace(-2, 2, 100) r = z**2 + 1 x = r...
Python数据分析Matplotlib,1文本说明1.1使用matplotlib.pyplot中的title()函数设置图像标题。1.2使用matplotlib.pyplot中的annotate()函数标注文字。1.3使用matplotlib.pyplot中的text()函数设置文字说明。1.4使用matplotlib.pyplot中的legend()函数和plot中的label参数一
通过在 plt.plot() 函数中设置 label 标签,为绘制的正弦余弦图分别添加 sin(t)、cos(t) 图例,并使用 plt.legend() 函数设置标签的位置和字体。 代码语言:javascript 复制 import numpy as np import matplotlib.pyplot as plt x=np.linspace(-np.pi,np.pi,256,endpoint=True) C,S=np.sin(x),np.cos(...
Matplotlibcomes with a set of 26 pre-built themes to style your chart easily.This postis dedicated to this feature, explaining how to useplt.style.use()to pick a theme up. Customize a matplotlib chart with a preset theme Customizing the legend ...
As an example, consider a multi-graph plot. If there are two plots stacked on top of each other, then the figure size should ideally be extended in the y-axis to accommodate the extra plot, otherwise everything will look squashed, and unclear. ...
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