jupter中线形图，柱形图，饼图，直方图，小提琴图如何展示

在 Jupyter 中展示不同类型的图表需要使用不同的 Python 库。以下是一些常用的库及其对应的图表类型：

- Matplotlib：线形图、柱形图、饼图、直方图、小提琴图等
- Seaborn：线形图、柱形图、饼图、直方图、小提琴图等
- Plotly：线形图、柱形图、饼图等
- Bokeh：线形图、柱形图、饼图等

以下是使用 Matplotlib 和 Seaborn 库展示不同类型图表的示例代码：

### 线形图

import matplotlib.pyplot as plt
import numpy as np

x = np.linspace(0, 10, 100)
y = np.sin(x)

plt.plot(x, y)
plt.show()

import seaborn as sns
import numpy as np

x = np.linspace(0, 10, 100)
y = np.sin(x)

sns.lineplot(x, y)

### 柱形图

import matplotlib.pyplot as plt
import numpy as np

x = ['A', 'B', 'C', 'D', 'E']
y = [10, 7, 12, 5, 8]

plt.bar(x, y)
plt.show()

import seaborn as sns
import numpy as np

x = ['A', 'B', 'C', 'D', 'E']
y = [10, 7, 12, 5, 8]

sns.barplot(x, y)

### 饼图

import matplotlib.pyplot as plt

labels = ['A', 'B', 'C', 'D', 'E']
sizes = [15, 30, 45, 10, 5]

plt.pie(sizes, labels=labels)
plt.show()

import seaborn as sns

labels = ['A', 'B', 'C', 'D', 'E']
sizes = [15, 30, 45, 10, 5]

sns.pieplot(sizes, labels=labels)

### 直方图

import matplotlib.pyplot as plt
import numpy as np

x = np.random.randn(1000)

plt.hist(x, bins=30)
plt.show()

import seaborn as sns
import numpy as np

x = np.random.randn(1000)

sns.histplot(x, bins=30)

### 小提琴图

import matplotlib.pyplot as plt
import numpy as np

x = np.random.randn(100)
y = np.random.randn(100)

plt.violinplot([x, y])
plt.show()

import seaborn as sns
import numpy as np

x = np.random.randn(100)
y = np.random.randn(100)

sns.violinplot([x, y])