使用python中pandas进行数据分析

使用second_cars_info.csv制作一个查询引擎，可以通过输入指定的参数获取对应条目的结果。

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可参考下面的方法，还请测试代码的可行性，如果可行还请 点击采纳，感谢支持！

import pandas as pd

# 读取 csv 文件
df = pd.read_csv("file.csv")

# 获取指定列
def query_result(df, brand=None, name=None, boarding_time=None, km=None, discharge=None, sec_price=None):
    query_df = df
    if brand is not None:
        query_df = query_df[query_df['Brand'] == brand]
    if name is not None:
        query_df = query_df[query_df['Name'] == name]
    if boarding_time is not None:
        query_df = query_df[query_df['Boarding time'] == boarding_time]
    if km is not None:
        query_df = query_df[query_df['Km'] == km]
    if discharge is not None:
        query_df = query_df[query_df['Discharge'] == discharge]
    if sec_price is not None:
        query_df = query_df[query_df['Sec price'] == sec_price]
    return query_df

# 调用函数查询
result = query_result(df, brand='BrandA', name='NameB')
print(result)