created = tz.localize(dt.fromtimestamp(os.path.getctime(dest_file))) modified = tz.localize(dt.fromtimestamp(os.path.getmtime(dest_file))) accessed = tz.localize(dt.fromtimestamp(os.path.getatime(dest_file)))print("\nDestination\n===")print("Created: {}\nModified: {}\nAccessed: {...
cookies={}forlineincookie_str.split(';'):key,value=line.split('=',1)cookies[key]=value #设置请求头 headers={'User-agent':'Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/60.0.3112.113 Safari/537.36'}#在发送get请求时带上请求头和cookies resp=requests.g...
# for idx in s1.index.union(s2.index): # 获取所有索引 # result_dict[idx] = s1.get(idx, 0) + s2.get(idx, 0) # 手动查找并填充 # result = pd.Series(result_dict) 1. 2. 3. 4. 5. 6. 7. 8. 9. 解决方案: 复制 import pandas as pd s1 = pd.Series([10, 20, 30], index...
# 通过减去趋势成分来去趋势化#Using Statmodels:Subtracting the Trend Componentfrom statsmodels.tsa.seasonal import seasonal_decomposedf = pd.read_csv('https://raw.githubusercontent.com/selva86/datasets/master/a10.csv', parse_dates=['date'], index_col='date')# result_mul = seasonal_decompose(d...
## Import the necessary packages from bs4 import BeautifulSoup as bs import urllib import re import pandas as pd import requests 如需本节同步ipynb和数据文件,可以直接点击加QQ群 963624318 在群文件夹商业数据分析从入门到入职中下载即可。 使用requests库模拟请求: 代码语言:javascript 代码运行次数:0 运...
from__future__importprint_functionfromargparseimportArgumentParserimportdatetimeimportosimportstructfromutility.pytskutilimportTSKUtilimportunicodecsvascsv 这个配方的命令行处理程序接受三个位置参数,EVIDENCE_FILE,IMAGE_TYPE和CSV_REPORT,分别代表证据文件的路径,证据文件的类型和所需的 CSV 报告输出路径。这三个参数被...
from selenium.webdriver.support.select import Select ① select_by_index() 通过索引来选择选项。索引从0开始。 ② select_by_value() 通过value属性来选择选项。 ③ select_by_visible_text() 通过选项文本来选择属性。精确匹配。 ④ deselect_by_index() / deselect_by_value() / deselect_by_visible_text...
>>> from pandas.io.pytables import HDFStore 现在就可以把DataFrame中的data存储到.h5文件中了。首先创建DataFrame对象。 >>> frame = pd.DataFrame(np.arange(16).reshape(4, 4), index = ["white", "black", "red", "blue"], columns = ["up", "down", "right", "left"]) 接着,创建一个...
from openpyxl.utils import get_column_letter, column_index_from_string# 根据列的数字返回字母print(get_column_letter(2))# B# 根据字母返回列的数字print(column_index_from_string('D'))# 4 (5)删除工作表 # 方式一wb.remove(sheet)# 方式二del wb[sheet] ...
(workbook) # 将xlrd对象拷贝转化为xlwt对象 # 读取表格信息 sheet = workbook.sheet_by_index(0) col2 = sheet.col_values(1) # 取出第二列 cel_value = sheet.cell_value(1, 1) print(col2) print(cel_value) # 写入表格信息 write_save = new_workbook.get_sheet(0) write_save.write(0, 0,...