散点图
导入库
下同
import matplotlib.pyplot as plt
import pandas as pd
from io import BytesIO
import base64
准备模拟数据
# Using Chinese characters as column names
columns = ['A', 'B', 'C', 'D',
'E', 'F', 'G', 'H']
# Since we cannot extract the actual data from the image, we will create scatter plots with mock data.
# Please note that the values used here are randomly generated and do not correspond to any real dataset.
# We'll use numpy to generate the random data
import numpy as np
# Number of observations
n = 50
# Mock data generation
np.random.seed(0) # For reproducibility
mock_data = {
'A': np.random.uniform(1000, 10000, n),
'B': np.random.uniform(1, 100, n),
'C': np.random.uniform(10, 1000, n),
'D': np.random.uniform(50, 500, n),
'E': np.random.uniform(10, 200, n),
'F': np.random.uniform(5000, 50000, n),
'G': np.random.uniform(100, 1000, n),
'H': np.random.uniform(5