# 展示图表plt.xlabel('Categories')# 设置 x 轴标签plt.ylabel('Values')# 设置 y 轴标签plt.title('Bar Chart with Different Colors')# 设置图表标题plt.show()# 显示绘制的条形图 1. 2. 3. 4. 5. 三、完整代码示例 将以上代码整合在一起,我们将得到如下完整的 Python 脚本: importmatplotlib.pyplot...
本文将介绍如何使用Python中的Matplotlib和mpl_toolkits.mplot3d库绘制令人印象深刻的3D曲面图。准备工作首先,确保你的Python环境中安装了Matplotlib库。...如果还没有安装,可以使用pip进行安装:pip install matplotlib导入必要的库在开始之前,让我们先...
6))plt.errorbar(x,y,yerr=yerr,fmt='go-',ecolor='red',capsize=5,label='how2matplotlib.com')plt.title('Errorbar with Different Colors')plt.xlabel('X-axis')plt.ylabel('Y-axis')plt.legend()plt.show()
3. 3D条形图(3D Bar Plot) 代码语言:javascript 代码运行次数:0 运行 AI代码解释 import matplotlib.pyplot as plt import numpy as np # 数据准备 x = np.arange(3) # x轴位置 y = np.arange(3) # y轴位置 x_mesh, y_mesh = np.meshgrid(x, y) # 创建网格 z = np.array([[1, 2, 3],...
It is rarely used but, in some cases where we need to color different categories with different colors then we can use this property of matplotlib. The following example shows us how to implement colored bars in python using matplotlib. ...
importmatplotlib.pyplotasplt frommpl_toolkitsimportaxes_grid1 defadd_colorbar(im,aspect=20,pad_fraction=0.5,**kwargs): """Add a vertical color bar to an image plot.""" divider=axes_grid1.make_axes_locatable(im.axes) width=axes_grid1.axes_size.AxesY(im.axes,aspect=1./aspect) ...
('Errorbar Plot with Asymmetric Errors - how2matplotlib.com')ax.set_xlabel('X-axis')ax.set_ylabel('Y-axis')# 添加图例ax.legend()# 显示网格ax.grid(True,linestyle=':',alpha=0.6)# 保存图形plt.savefig('asymmetric_errorbar.png')# 显示图形plt.show()print("图形已保存为 asymmetric_errorbar...
import matplotlib.pyplot as plt plt.rcParams['font.sans-serif'] = ['SimHei']#字体微软雅黑 plt.rcParams['axes.unicode_minus'] = False x = range(9)#x轴值的数量 y = [5.12, 5.15, 5.13, 5.10, 5.2, 5.25, 5.19, 5.24, 5.31]#y轴的值 ...
importmatplotlib.pyplot as plt plt.xlabel(u'性别') plt.ylabel(u'人数') plt.bar(left=(0,1),height=(1,0.5),width=0.35) plt.show() 注意这里的中文一定要用u(3.0以上好像不用,我用的2.7),因为matplotlib只支持unicode。接下来,让我们在x轴上的每个bar进行说明。比如第一个是“男”,第二个是“女...
import matplotlib.pyplot as plt #data x = [1, 2, 3, 4, 5] h = [10, 8, 12, 4, 7] c = '#7eb54e' #bar plot plt.bar(x, height = h, color = c) plt.show() Output Now, let us apply different colors for bar faces of the bar plot, by passing a list of colors for ...