Python 如何用x和y分类轴绘制线图？

我试图画一个比较两个分类变量的折线图。然而，我不断地遇到错误。我把我的代码放在下面：

import matplotlib.pyplot as plt

cat = ["bored", "happy", "bored", "bored", "happy", "bored"]
dog = ["happy", "happy", "happy", "happy", "bored", "bored"]
activity = ["combing", "drinking", "feeding", "napping", "playing", 
"washing"]

fig, ax = plt.subplots()
ax.plot(activity, dog, label="dog")
ax.plot(activity, cat, label="cat")
ax.legend()

plt.show()

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这里提供一个答案：当使用matplotlib>=2.1运行时，问题中的代码

import matplotlib.pyplot as plt

cat = ["bored", "happy", "bored", "bored", "happy", "bored"]
dog = ["happy", "happy", "happy", "happy", "bored", "bored"]
activity = ["combing", "drinking", "feeding", "napping", "playing", 
"washing"]

fig, ax = plt.subplots()
ax.plot(activity, dog, label="dog")
ax.plot(activity, cat, label="cat")
ax.legend()

plt.show()

运行良好，生产效率高

---

对于matplotlib的早期版本，轴应为数字。因此，您需要将类别转换为数字，绘制它们，然后相应地设置标签

import numpy as np
import matplotlib.pyplot as plt

cat = ["bored", "happy", "bored", "bored", "happy", "bored"]
dog = ["happy", "happy", "happy", "happy", "bored", "bored"]
activity = ["combing", "drinking", "feeding", "napping", "playing", 
"washing"]

catu, cati = np.unique(cat, return_inverse=True)
dogu, dogi = np.unique(dog, return_inverse=True)

fig, ax = plt.subplots()
ax.plot(range(len(dog)), dogi, label="dog")
ax.plot(range(len(cat)), cati, label="cat")

ax.set_xticks(range(len(activity)))
ax.set_xticklabels(activity)

ax.set_yticks(range(len(catu)))
ax.set_yticklabels(catu)

ax.legend()
plt.show()

---

这里提供一个答案：当使用matplotlib>=2.1运行时，问题中的代码

import matplotlib.pyplot as plt

cat = ["bored", "happy", "bored", "bored", "happy", "bored"]
dog = ["happy", "happy", "happy", "happy", "bored", "bored"]
activity = ["combing", "drinking", "feeding", "napping", "playing", 
"washing"]

fig, ax = plt.subplots()
ax.plot(activity, dog, label="dog")
ax.plot(activity, cat, label="cat")
ax.legend()

plt.show()

运行良好，生产效率高

---

对于matplotlib的早期版本，轴应为数字。因此，您需要将类别转换为数字，绘制它们，然后相应地设置标签

import numpy as np
import matplotlib.pyplot as plt

cat = ["bored", "happy", "bored", "bored", "happy", "bored"]
dog = ["happy", "happy", "happy", "happy", "bored", "bored"]
activity = ["combing", "drinking", "feeding", "napping", "playing", 
"washing"]

catu, cati = np.unique(cat, return_inverse=True)
dogu, dogi = np.unique(dog, return_inverse=True)

fig, ax = plt.subplots()
ax.plot(range(len(dog)), dogi, label="dog")
ax.plot(range(len(cat)), cati, label="cat")

ax.set_xticks(range(len(activity)))
ax.set_xticklabels(activity)

ax.set_yticks(range(len(catu)))
ax.set_yticklabels(catu)

ax.legend()
plt.show()

---

如何绘制分类变量的折线图？问题中的代码在matplotlib 2.1中生成。如果使用早期版本，将无法打印字符串。如果遇到错误，您需要在问题中包含完整的错误回溯。谢谢，有没有一种方法可以在不安装2.1版的情况下完成？如何绘制分类变量的折线图？问题中的代码在matplotlib 2.1中生成。如果使用早期版本，将无法打印字符串。如果你遇到错误，你需要在问题中包含完整的错误回溯。谢谢，有没有办法不用安装2.1版就可以做到？谢谢，我很感激。我会记住的，以备将来参考。如前所述，你应该直接投票，而不是写“谢谢你”。谢谢你，我很感激。我会记住的，以备将来参考。如前所述，你应该直接投票，而不是写“谢谢你”。