import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns

# 加载数据
data = pd.read_csv("sales_data.csv")

# 数据清洗
data.dropna(inplace=True)
data["date"] = pd.to_datetime(data["date"])

# 计算统计指标
monthly_sales = data.groupby(data["date"].dt.month)["amount"].sum()

# 创建可视化图表
plt.figure(figsize=(12, 8))
sns.lineplot(x=monthly_sales.index, y=monthly_sales.values)
plt.title("Monthly Sales Trend")
plt.xlabel("Month")
plt.ylabel("Sales Amount")
plt.savefig("chart.png", dpi=300)