Python中利用mpld3创建交互式Matplotlib图表的代码示例

pip install mpld3

import matplotlib.pyplot as plt
import numpy as np
import mpld3

# 生成随机数据
np.random.seed(0)
x = np.random.rand(100)
y = np.random.rand(100)
colors = np.random.rand(100)
sizes = 1000 * np.random.rand(100)

# 创建散点图
fig, ax = plt.subplots()
scatter = ax.scatter(x, y, c=colors, s=sizes, alpha=0.5)

# 添加标题和标签
plt.title('Interactive Scatter Plot with mpld3')
plt.xlabel('X-axis')
plt.ylabel('Y-axis')

# 将图表转换为交互式图表
interactive_plot = mpld3.plugins.PointLabelTooltip(scatter, labels=[str(i) for i in range(len(x))])
mpld3.plugins.connect(fig, interactive_plot)

# 显示图表
mpld3.show()

import matplotlib.pyplot as plt
import numpy as np
import mpld3

# 生成数据
x = np.linspace(0, 10, 100)
y = np.sin(x)

# 创建折线图
fig, ax = plt.subplots()
line, = ax.plot(x, y)

# 添加标题和标签
plt.title('Interactive Line Plot with mpld3')
plt.xlabel('X-axis')
plt.ylabel('Y-axis')

# 将图表转换为交互式图表
interactive_plot = mpld3.plugins.LineLabelTooltip(line)
mpld3.plugins.connect(fig, interactive_plot)

# 显示图表
mpld3.show()

import matplotlib.pyplot as plt
import numpy as np
import mpld3

# 生成正态分布的随机数据
data = np.random.normal(0, 1, 1000)

# 创建直方图
fig, ax = plt.subplots()
hist, bins, _ = ax.hist(data, bins=30, alpha=0.5)

# 添加标题和标签
plt.title('Interactive Histogram with mpld3')
plt.xlabel('Value')
plt.ylabel('Frequency')

# 将图表转换为交互式图表
interactive_plot = mpld3.plugins.HistTooltip(hist, bins)
mpld3.plugins.connect(fig, interactive_plot)

# 显示图表
mpld3.show()

import matplotlib.pyplot as plt
import numpy as np
import mpld3

# 生成随机数据
np.random.seed(0)
x = np.random.rand(100)
y = np.random.rand(100)
colors = np.random.rand(100)
sizes = 1000 * np.random.rand(100)

# 创建散点图
fig, ax = plt.subplots()
scatter = ax.scatter(x, y, c=colors, s=sizes, alpha=0.5)

# 添加标题和标签
plt.title('Interactive Scatter Plot with mpld3')
plt.xlabel('X-axis')
plt.ylabel('Y-axis')

# 添加交互功能
plugins = [mpld3.plugins.Zoom(), mpld3.plugins.Pan(), mpld3.plugins.PointLabelTooltip(scatter)]
mpld3.plugins.connect(fig, *plugins)

# 显示图表
mpld3.show()