网站服务器容器,做网站一定需要icp么,响应式单页网站模板,随州网站建设学校python 数据分析的题目。
做题方法#xff1a;使用 pandas 读取数据#xff0c;然后分析。
知识点#xff1a;pandas#xff0c;正则表达式#xff0c;py知识。
过程#xff1a;不断使用 GPT#xff0c;遇到有问题的地方自己分析#xff0c;把分析的结果告诉 GPT使用 pandas 读取数据然后分析。
知识点pandas正则表达式py知识。
过程不断使用 GPT遇到有问题的地方自己分析把分析的结果告诉 GPT注意要使用 Data Analysis中文效果不是很好。 import pandas as pd
import hashlib
import re
from datetime import datetimedef load_csv(file_path):return pd.read_csv(file_path)def preprocess_a_table(a_table):account_table_map {}for _, row in a_table.iterrows():account row[账号]table row[操作表]if account not in account_table_map:account_table_map[account] set()account_table_map[account].add(table)return account_table_map# row 是b表
def is_valid_operation(row, a_table, account_table_map):account row[账号]operation row[执行操作].lower()# Extracting table name and operation typetable_name_match re.search(rfrom (\w), operation) or re.search(rinto (\w), operation) or re.search(rupdate (\w), operation)table_name table_name_match.group(1) if table_name_match else Noneoperation_type_match re.match(r(\w), operation)operation_type operation_type_match.group(1) if operation_type_match else None# Check if account is not in account_table_map or if the table_name is not in the accounts permissible tablesif account not in account_table_map or (table_name and table_name not in account_table_map[account]):return 0_ str(row[编号])# Check for time and permission violationsfor _, account_row in a_table[a_table[账号] account].iterrows():if account_row[操作表] table_name:# Time checkoperation_time datetime.strptime(row[操作时间], %Y/%m/%d %H:%M:%S).time()start_time, end_time account_row[可操作时间段(时:分:秒)].split(~)start_time datetime.strptime(start_time, %H:%M:%S).time()end_time datetime.strptime(end_time, %H:%M:%S).time()if not (start_time operation_time end_time):return str(account_row[编号]) _ str(row[编号]) # Time violation# Permission checkpermissions account_row[权限].split(,)if operation_type and operation_type not in permissions:return str(account_row[编号]) _ str(row[编号]) # Permission violationreturn Nonedef custom_sort(violation):parts violation.split(_)return (int(parts[0]), int(parts[1]))def main():a_table_path ../iris_data/a_table_test.csvb_table_path ../iris_data/b_table_test.csva_table load_csv(a_table_path)b_table load_csv(b_table_path)account_table_map preprocess_a_table(a_table)violations []for _, row in b_table.iterrows():violation is_valid_operation(row, a_table, account_table_map)if violation:violations.append(violation)# Sort the violations based on the numerical part after the underscoreviolations_sorted sorted(violations, keycustom_sort)# Join the sorted list into a stringviolations_joined ,.join(violations_sorted)# Calculate MD5 hashmd5_hash hashlib.md5(violations_joined.encode()).hexdigest()print(fSorted Violations: {violations_joined})print(fMD5 Hash: {md5_hash})if __name__ __main__:main()
