构建数据可视化平台中的综合解决方案

python

import pandas as pd

# 读取CSV文件

def load_csv(file_path):

return pd.read_csv(file_path)

# 示例调用

data = load_csv('example.csv')

print(data.head())

python

from sqlalchemy import create_engine

# 连接数据库

def load_database(db_url):

engine = create_engine(db_url)

return pd.read_sql_query("SELECT * FROM table_name", engine)

# 示例调用

db_data = load_database('sqlite:///example.db')

print(db_data.head())

python

def combine_data(*data_frames):

return pd.concat(data_frames, ignore_index=True)

# 示例调用

combined_data = combine_data(data, db_data)

print(combined_data.head())

python

import matplotlib.pyplot as plt

import seaborn as sns

# 可视化

def visualize_data(df):

sns.lineplot(x='date', y='value', data=df)

plt.show()

# 示例调用

visualize_data(combined_data)