自用的实用python数据处理方法

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自用的python数据处理方法

一、字典的数据操作

# -*- coding:utf8 -*-


# create class DataDictOperate
class DataDictOperate:
	
    def __init__(self, data_dict):
        self.data_dict = data_dict

    """
		create_one_key_to_model_value_dict方法使用:
		比如有个列表[[1, 'a'], [2, 'a'], [1, 'c'], [3, 'b'], [1, 'a'], [2, 'd']]
		我想整理成{1: ['a', 'c', 'a'], 2: ['a', 'd'], 3: ['b']}这种形式
		则使用如下代码可轻松实现
		# init dict
		data_dict = {}
		
		data_list = [[1, 'a'], [2, 'a'], [1, 'c'], [3, 'b'], [1, 'a'], [2, 'd']]
		
		for data in data_list:
			DataDictOperate(data_dict=data_dict).create_one_key_to_more_value_dict(key=data[0], value=data[1])
		
		print(data_dict)

		打印出来的字典就是目标格式了
	"""
    def create_one_key_to_more_value_dict(self, key, value):
		    
        # if the input key is in input dict
        if self.data_dict.__contains__(key):
            self.data_dict.get(key).append(value)
        # if the input key is not in input dict
        else:
            self.data_dict.setdefault(key, []).append(value)
        return self.data_dict

二、列表的数据操作

# create class DataListOperate
class DataListOperate:
    def __init__(self, data_list):
        self.data_list = data_list
        self.reverse_status = None

    """
    	make list sort 方法使用:
    	比如有个列表[
    		{'tech': 'a', 'count': 10}, {'tech': 'b', 'count': 13}, {'tech': 'c', 'count': 5}, {'tech': 'd', 'count': 6}
   		]
   		我想让列表按照count排序,则可以使用此方法
   		input_type是选择从大到小排序还是从小到大排序,key是输入你想要排序的键名
    """
    def make_list_sort(self, input_type, key):
        DataListOperate.change_reverse_status(self, input_type)

        # get data_sort_list
        data_sort_list = sorted(self.data_list, key=lambda x: x[key], reverse=self.reverse_status)
        return data_sort_list

    def change_reverse_status(self, input_type):
        if input_type == 'min_to_max':
            self.reverse_status = False

        elif input_type == 'max_to_min':
            self.reverse_status = True

三、文件的数据操作

# create class DataPathOperate
class DataPathOperate:
    def __init__(self, path):
        self.path = path

    """
		建立目录
	"""
    def create_dir(self):
        # try verify dir is exist or not
        try:
            os.mkdir(self.path)
        # if dir is exist then except error

        except FileExistsError:

            pass

    """
		判断是否是文件
	"""
    def judge_is_file(self):
        return os.path.isfile(self.path)

    """
		删除目录
	"""
    def remove_dir(self):
        # try verify dir is exist or not
        try:
            os.removedirs(self.path)

		# if file not found, then except error
        except FileNotFoundError:

            pass

		# if There are files under the dir, then use the shutil.rmtree function
        except OSError:
        
            shutil.rmtree(self.path)

    """
		删除文件
	"""
    def remove_file(self):
        try:

            os.remove(self.path)

        except Exception as e:

            LogDataOperate(message_type='error').error(message=e)

    """

	"""
    def read_data(self, file_type, parse_type):

        # get data_list
        data_list = []

        # if parse type is pandas
        if parse_type == 'pandas':

            # if file_type is equal to csv:
            if file_type == 'csv':
                
                data_list = np.array(pd.read_csv(self.path, encoding='utf-8-sig')).tolist()

            # if file_type is equal to excel
            elif file_type == 'xlsx':

                data_list = np.array(pd.read_excel(io=self.path)).tolist()

        # if parse type is with open
        elif parse_type == 'with open':
            
            if file_type in ['xlsx', 'csv', 'txt']:
                
                with open(self.path, 'r') as f:
                    
                    # get data_list
                    data_list = f.readlines()
                    
        return data_list

    """
		保存excel数据为xlsx或csv
	"""
    def save_data(self, save_type, save_data, columns):

        if save_type in ['csv', 'xlsx']:

            df = pd.DataFrame(save_data)

            df.columns = columns

            if save_type == 'xlsx':
                df.to_excel(self.path, index=False, encoding='utf-8-sig')

            elif save_type == 'csv':
                df.to_csv(self.path, index=False, encoding='utf-8-sig')

    """
		复制拷贝数据
	"""
    def copy_and_paste_file(self, aim_path):
        shutil.copyfile(self.path, aim_path)

    """
		把相对路径转换为绝对路径
	"""
    def change_relative_path_to_abs_path(self):
        self.path = os.path.abspath(self.path)
        return self.path

    """
		把文件写进压缩包里面,并生成压缩包
	"""
    def write_zipfile(self, zipfile_name, write_file_list):
        abs_path = os.path.abspath(self.path)

        try:
            with ZipFile('{}/{}.zip'.format(abs_path, zipfile_name), mode="w") as f:

                for write_file in write_file_list:

                    new_file_base_path = {'Windows': abs_path, 'Linux': ''}

                    # get new_file
                    new_file = '{}/{}'.format(new_file_base_path[RUN_SYSTEM], write_file[write_file.rfind('/')+1:])

                    shutil.copyfile(write_file, new_file)

                    f.write(new_file)

                    try:

                        os.remove(new_file)

                    except Exception as e:

                        pass
                        
        except Exception as e:

            pass

        finally:
            f.close()

四、字符串的操作

# create class DataStringOperate
class DataStringOperate:
    def __init__(self, data, replace_list=REPLACE_DATA_LIST, after_replace_str=''):
		"""
		replace_list:要替换的字符串列表,after_replace_str:替换后的字符串
		replace_list默认传入的是REPLACE_DATA_LIST,
		REPLACE_DATA_LIST = [
		    'nan', '\xa0', '\ue627', '\u200a', '\u200b', '\u200c', '\u200d', '\u200e', '\u202a', '\u202b',
		    '\u202c', '\u202d', '\u202e', '\u2060', '\u2061', '\u2062', '\n', 'xa0', 'ue627', 'u200a',
		    'u200b', 'u200c', 'u200d', 'u200e', 'u202a', 'u202b', 'u202c', 'u202d', 'u202e', 'u2060', 'u2061',
		    'u2062', '“', '”'
		]
		"""
        self.data = data
        self.replace_list = replace_list
        self.after_replace_str = after_replace_str
	
	"""
		判断是否字符串是人名
	"""
    def isname(self):

        pair_word_list = pseg.lcut(self.data)

        for eve_word, cixing in pair_word_list:

            if cixing == "nr":

                return True

        return False

    """
		替换不要的字符
	"""
    def data_replace(self):

        # replace_str_list
        replace_str_list = self.replace_list

        n = 0

        while n < len(replace_str_list):

            self.data = self.data.replace(replace_str_list[n], self.after_replace_str)

            n = n + 1

        return self.data

五、日期的操作

# create class DateOperate
class DateOperate:
    def __init__(self):
        self.date = ''

    """
		获取当前日期
		当前日期格式为"2022_01_01_20_00_00_083624",精确到毫秒
	"""
    def get_now_date(self):

        self.date = str(datetime.now()).replace(' ', '_').replace(':', '_').replace('.', '_').replace('-', '_')

        return self.date

	"""
		获取上次日期
		当last_date_type为days时,为获取昨天的日期
		当last_date_type为weeks时,为获取上个星期的日期
		当last_date_type为months时,为获取上个月的日期
	"""
    def get_last_date(self, last_date_type):

        if last_date_type == 'days':

            self.date = (datetime.now() + relativedelta(days=-1)).strftime("%Y-%m-%d %H:%M:%S")

        elif last_date_type == 'weeks':

            self.date = (datetime.now() + relativedelta(weeks=-1)).strftime("%Y-%m-%d %H:%M:%S")

        elif last_date_type == 'months':

            self.date = (datetime.now() + relativedelta(months=-1)).strftime("%Y-%m-%d %H:%M:%S")

        return self.date

六、日志的操作

# create class LogDataOperate
class LogDataOperate:
    def __init__(self, message_type, clevel=None, flevel=logging.DEBUG):

        self.clevel = clevel

        # get path
        path = '{}/{}/{}.log'.format(LOG_PATH, message_type, str(datetime.now())[:10].replace('-', '_'))

        self.logger = logging.getLogger(path)
        self.logger.setLevel(logging.DEBUG)

        fmt = logging.Formatter(
            '[%(asctime)s]  [%(created)f]  [%(levelname)s]  [%(funcName)s]  [%(process)d]  [%(processName)s]  '
            '[%(relativeCreated)d]  [%(thread)d]  [%(threadName)s]  %(message)s')

		"""
			如果想在控制台打印出日志,就不要注释下面的代码;否则就注释
		"""
        # # setting CMD log
        # sh = logging.StreamHandler()
        # sh.setFormatter(fmt)
        # sh.setLevel(self.clevel)
        # self.logger.addHandler(sh)

		"""
			如果想保存日志文件,就不要注释下面的代码;否则就注释
		"""
        # setting file log
        fh = logging.FileHandler(path)
        fh.setFormatter(fmt)
        fh.setLevel(flevel)
        self.logger.addHandler(fh)

    def debug(self, message):
        self.logger.debug(message)

    def info(self, message):
        self.logger.info(message)

    def warn(self, message):
        self.logger.warning(message)

    def error(self, message):
        self.logger.error(message)

    def cri(self, message):
        self.logger.critical(message)
  • 持续更新中

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