errorbar linestyle|极客教程

errorbar linestyle

在图表中使用errorbar可以显示数据的误差范围，而linestyle则可以控制误差线的样式。本文将详细介绍如何在Matplotlib中使用errorbar linestyle，以及如何调整线型以展示数据的不确定性。

示例代码：

示例1：使用实线样式的errorbar

import matplotlib.pyplot as plt
import numpy as np

x = np.linspace(0, 10, 10)
y = np.sin(x)

errors = 0.1 * np.abs(y)

plt.errorbar(x, y, yerr=errors, linestyle='-', fmt='o')
plt.show()

Output:

errorbar linestyle

示例2：使用虚线样式的errorbar

import matplotlib.pyplot as plt
import numpy as np

x = np.linspace(0, 10, 10)
y = np.cos(x)

errors = 0.2 * np.abs(y)

plt.errorbar(x, y, yerr=errors, linestyle='--', fmt='o')
plt.show()

Output:

errorbar linestyle

示例3：使用点线样式的errorbar

import matplotlib.pyplot as plt
import numpy as np

x = np.linspace(0, 10, 10)
y = np.tan(x)

errors = 0.3 * np.abs(y)

plt.errorbar(x, y, yerr=errors, linestyle=':', fmt='o')
plt.show()

Output:

errorbar linestyle

示例4：使用粗线样式的errorbar

import matplotlib.pyplot as plt
import numpy as np

x = np.linspace(0, 10, 10)
y = np.exp(x)

errors = 0.1 * np.abs(y)

plt.errorbar(x, y, yerr=errors, linestyle='-', linewidth=2, fmt='o')
plt.show()

Output:

errorbar linestyle

示例5：使用圆点样式的errorbar

import matplotlib.pyplot as plt
import numpy as np

x = np.linspace(0, 10, 10)
y = np.log(x)

errors = 0.1 * np.abs(y)

plt.errorbar(x, y, yerr=errors, linestyle='-', marker='o')
plt.show()

示例6：使用方块样式的errorbar

import matplotlib.pyplot as plt
import numpy as np

x = np.linspace(0, 10, 10)
y = np.sqrt(x)

errors = 0.1 * np.abs(y)

plt.errorbar(x, y, yerr=errors, linestyle='-', marker='s')
plt.show()

Output:

errorbar linestyle

示例7：自定义errorbar的颜色和样式

import matplotlib.pyplot as plt
import numpy as np

x = np.linspace(0, 10, 10)
y = np.power(x, 2)

errors = 0.1 * np.abs(y)

plt.errorbar(x, y, yerr=errors, linestyle='-', color='red', marker='o', markersize=5)
plt.show()

Output:

errorbar linestyle

示例8：设置误差线的透明度

import matplotlib.pyplot as plt
import numpy as np

x = np.linspace(0, 10, 10)
y = np.arctan(x)

errors = 0.1 * np.abs(y)

plt.errorbar(x, y, yerr=errors, linestyle='-', color='blue', marker='o', alpha=0.5)
plt.show()

Output:

errorbar linestyle

示例9：设置误差线的标签

import matplotlib.pyplot as plt
import numpy as np

x = np.linspace(0, 10, 10)
y = np.power(2, x)

errors = 0.1 * np.abs(y)

plt.errorbar(x, y, yerr=errors, linestyle='-', color='green', marker='o', label='Errorbar')
plt.legend()
plt.show()

Output:

errorbar linestyle

示例10：调整误差线的样式和粗细

import matplotlib.pyplot as plt
import numpy as np

x = np.linspace(0, 10, 10)
y = np.cosh(x)

errors = 0.1 * np.abs(y)

plt.errorbar(x, y, yerr=errors, linestyle='--', color='orange', linewidth=2, marker='o')
plt.show()