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"""
模块功能该模块作为工具箱包含了数据读取和数据保存的功能
函数:
read_csv(file_path): CSV 文件中读取数据并返回pd.DataFrame对象
save_csv(df, file_path): 将pd.DataFrame对象保存为 CSV 文件
"""
import pandas as pd
def read_csv(file_path: str) -> pd.DataFrame:
"""
CSV 文件中加载 DataFrame 对象
Args:
file_path (str): CSV 文件的路径
Returns:
DataFrame: CSV 文件中加载的 DataFrame 对象
"""
try:
df = pd.read_csv(file_path, index_col="date", parse_dates=["date"])
print(f"成功读取文件: {file_path}")
except FileNotFoundError:
print(f"找不到文件: {file_path}")
df = pd.DataFrame()
except Exception as e:
print(f"读取文件时发生错误: {e}")
df = pd.DataFrame()
return df
def save_csv(df: pd.DataFrame, file_path: str) -> None:
"""
DataFrame 对象保存为 CSV 文件
Args:
df (DataFrame): 要保存的 DataFrame 对象
file_path (str): CSV 文件的路径
"""
try:
df.to_csv(file_path, index_label='date')
print(f"成功保存文件: {file_path}")
except Exception as e:
print(f"保存文件时发生错误: {e}")