使用read_excel命令导入数据，写入路径即可导入数据，数据包含日期、订单号、区域、省份等数据字段。import ...
import pandas as pd df_data = pd.read_csv(data_file, names=col_list) 显示原始数据,df_data.head() 运行apply函数,并记录该操作耗时: for col in df_data.columns: df_data[col] = df_data.apply(lambda x: apply_md5(x[col]), axis=1) 显示结果数据,df_data.head() 2. Polars测试 Polars...
return f.read() # 2. 文本清洗 def clean_text(text): text = re.sub(r'[\s\n\r\u3000]+', '', text) return re.sub(r'[^一-龥,。!?、:;‘’"“”()《》]', '', text) # 3. 分词处理 def segment_text(text, userdict=None): if userdict: jieba.load_userdict(userdict) ret...
import pandas as pd # reading the countries_data file along with the location within read_csv function. countries_df = pd.read_csv('C:/Users/anmol/Desktop/Courses/Python for Data Science/Code/countries_data.csv') # showing the first 5 rows of the dataframe countries_df.head() 以下是 cou...
novel_id: 小说ID(如示例中的1479359) save_dir: 保存路径 """headers={'User-Agent':'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.3'}ifnotos.path.exists(save_dir):os.makedirs(save_dir)foriinrange(start_page,end_page+...
(socket.AF_INET,socket.SOCK_STREAM)client_socket.connect(('localhost',9999))traffic_data=[]# 存储流量数据whileTrue:data=client_socket.recv(1024).decode().splitlines()forlineindata:timestamp,value=map(float,line.split(', '))traffic_data.append({'timestamp':timestamp,'value':value})# 转换...
In the code above, we first import the Pandas library aspd. Then, we use thepd.read_csv()function to read the “sample_data.csv” file and store the data in a data frame nameddf. Finally, we display the first 5 rows of the data frame usingdf.head(). ...
pd.Series(data=None, index=None, dtype=None)命令 参数: - data 传入的数据,可以是ndarray、list等 - index:索引,必须是唯一的,且与数据的长度相等。如果没有传入索引参数,则默认会自动创建一个从0-N的整数索引。 - dtype:数据的类型 根据已有数据创建 - 指定内容,默认索引 import pandas as pd import nu...
read_excel(path ,index_col='序号') data.sort_values(by=['语文','数学','英语'],inplace=True,ascending=[False,True,False]) print(data) 例2:按索引进行排序 代码语言:javascript 代码运行次数:0 运行 AI代码解释 import pandas as pd path = 'c:/pandas/排序.xlsx' data = pd.read_excel(路径...
In Python, you can read a file using theopen()function. The following code example demonstrates how to read a file in Python: file = open('example.txt', 'r') data = file.read() print(data) Reading a File Line-By-Line Sometimes, you may want to read a file line-by-line. To do...