How to use python-docx
python
python-docx
python-docx的简单使用
'''
设置表格所有单元格的四个边为0.5磅，黑色，实线
可以使用返回值，也可以不使用
'''
def 设置表格网格线为黑色实线(table_object:object):
kwargs = {
"top":{"sz": 4, "val": "single", "color": "#000000"},
"bottom":{"sz": 4, "val": "single", "color": "#000000"},
"left":{"sz": 4, "val": "single", "color": "#000000"},
"right":{"sz": 4, "val": "single", "color": "#000000"},
"insideV":{"sz": 4, "val": "single", "color": "#000000"},
"insideH":{"sz": 4, "val": "single", "color": "#000000"}
}
borders = docx.oxml.OxmlElement('w:tblBorders')
for tag in ('bottom', 'top', 'left', 'right', 'insideV', 'insideH'):
edge_data = kwargs.get(tag)
if edge_data:
any_border = docx.oxml.OxmlElement(f'w:{tag}')
for key in ["sz", "val", "color", "space", "shadow"]:
if key in edge_data:
any_border.set(docx.oxml.ns.qn(f'w:{key}'), str(edge_data[key]))
borders.append(any_border)
table_object._tbl.tblPr.append(borders)
return table_object
'''
设置标题样式
'''
def 设置标题样式为黑色宋体(heading_object:object):
heading_object.alignment = docx.enum.text.WD_ALIGN_PARAGRAPH.LEFT #左对齐
for run in heading_object.runs:
run.font.name=u'宋体' #设置为宋体
#run._element.rPr.rFonts.set(qn('w:eastAsia'), u'宋体')#设置为宋体，和上边的一起使用
run.font.color.rgb = docx.shared.RGBColor(0,0,0)#设置颜色为黑色
return heading_object
'''
创建docx文档，将翻译结果和原文写入文档中
'''
def word():
my_word_doc = docx.Document() #打开一个空白文档
# for style in my_word_doc.styles:
# print(style)
heading = my_word_doc.add_heading(翻译结果["NAME"],level=2) #指定样式标题2
设置标题样式为黑色宋体(heading)
heading = my_word_doc.add_heading("描述",level=3) #指定样式标题3
设置标题样式为黑色宋体(heading)
for line in 翻译结果["SYNOPSIS"].split("\n"):
my_word_doc.add_paragraph(line)
for line in 翻译结果["DESCRIPTION"].split("\n"):
my_word_doc.add_paragraph(line)
heading = my_word_doc.add_heading("参数",level=3) #指定样式标题3
设置标题样式为黑色宋体(heading)
#table = my_word_doc.add_table(rows=len(翻译结果["PARAMETERS"]), cols=3) #指定样式标题3；在末尾添加一个表
table = my_word_doc.add_table(rows=len(翻译结果["PARAMETERS"]), cols=2) #指定样式标题3；在末尾添加一个表
#table.style = my_word_doc.styles['Medium Grid 1']
设置表格网格线为黑色实线(table)
index=0
for key,value in 翻译结果["PARAMETERS"].items():
for line in key.split("\n"):
cell = table.cell(index,0)
cell.text += line
for line in value.split("\n"):
table.cell(index,1).text += line
#table.cell(index,1).text = 帮助文件解析结果["PARAMETERS"][key]
cell_paragraphs = table.cell(index,0).paragraphs
for i in cell_paragraphs:
i.alignment = docx.enum.text.WD_PARAGRAPH_ALIGNMENT.LEFT #左对齐
cell_paragraphs = table.cell(index,1).paragraphs
for i in cell_paragraphs:
i.alignment = docx.enum.text.WD_PARAGRAPH_ALIGNMENT.LEFT #左对齐
# table.cell(index,2).text = value
# cell_paragraphs = table.cell(index,2).paragraphs
# for i in cell_paragraphs:
# i.alignment = docx.enum.text.WD_PARAGRAPH_ALIGNMENT.LEFT #左对齐
index += 1
heading = my_word_doc.add_heading("示例",level=3) #指定样式标题3
设置标题样式为黑色宋体(heading)
for key,value in 翻译结果["Example"].items():
heading = my_word_doc.add_heading(key[0:-1],level=4) #指定样式标题4
设置标题样式为黑色宋体(heading)
for line in value.split("\n"):
my_word_doc.add_paragraph(line)
my_word_doc.save(r"C:\Users\gyj\Downloads\temp.docx")Copy after login
实际上我是拿来转换PowerShell cmdlet命令的帮助txt文件为word文档的。其中带了翻译。简单记录下。
import docx #pip install python-docx
import re
import json
import requests
import time
import hashlib
from urllib.parse import urlencode
import random
import copy
#字典形式
帮助文件解析结果={"NAME":"","SYNOPSIS":"","DESCRIPTION":"","PARAMETERS":{},"Example":{}};
翻译结果={"NAME":"","SYNOPSIS":"","DESCRIPTION":"","PARAMETERS":{},"Example":{}};
'''
'''
def 解析PowerShell命令的帮助文本(文件路径:str):
with open(文件路径,mode='r',encoding='utf-8') as fd_help:
line = fd_help.readline();
while line:
if(line.strip() == "NAME"):
line = fd_help.readline()
line = line.strip()
帮助文件解析结果['NAME'] = line
elif(line.strip() == "SYNOPSIS"):
line = fd_help.readline()
while line[0:4]==" ":
帮助文件解析结果['SYNOPSIS'] += line.lstrip()
line = fd_help.readline()
elif(line.strip() == "DESCRIPTION"):
line = fd_help.readline()
while line[0:4]==" ":
帮助文件解析结果['DESCRIPTION'] += line.lstrip()
line = fd_help.readline()
elif(line.strip() == "PARAMETERS"):
line = fd_help.readline()
while line[0:4]==" ":
参数名 = line.lstrip()
帮助文件解析结果['PARAMETERS'][参数名] = ""
line = fd_help.readline()
while line[0:8]==" ":
帮助文件解析结果['PARAMETERS'][参数名] += line.lstrip()
line = fd_help.readline()
if(len(re.findall(r'^\s*-*\s*Example',line))):
break
elif(len(re.findall(r'^\s*-*\s*Example',line))):
temp=re.sub(r"^\s*-*\s*([\w,\.: ]+) *-*",r"\1",line)
temp.rstrip()
帮助文件解析结果["Example"][temp]="";
line = fd_help.readline()
while line:
if(len(re.findall(r'^\s*-*\s*Example',line))):
temp=re.sub(r"^\s*-*\s*([\w,\.: ]+) *-*",r"\1",line)
temp.rstrip()
帮助文件解析结果["Example"][temp]="";
line = fd_help.readline()
while not (len(re.findall(r'^\s*-*\s*Example',line))) and line:
帮助文件解析结果["Example"][temp]+=line.lstrip()
line = fd_help.readline()
else:
line = fd_help.readline()
#检查key=""的情况，并删除这样的key
if("" in 帮助文件解析结果):
del 帮助文件解析结果[""]
if("" in 帮助文件解析结果["PARAMETERS"]):
del 帮助文件解析结果["PARAMETERS"][""]
if("" in 帮助文件解析结果["Example"]):
del 帮助文件解析结果["Example"][""]
# 本文件是通过请求有道翻译，去获取翻译结果
'''
i: 你好
from: AUTO
to: AUTO
smartresult: dict
client: fanyideskweb
salt: 16643765479061 //毫秒级别的时间戳后面加上个0-9之间的随机数,js代码：r + parseInt(10 * Math.random(), 10);这里的r表示时间戳字符串
sign: 1d69ce8f7c6258243e573e31e29e0012 //签名，下面找到了
lts: 1664376547906 //毫秒级别的时间戳
bv: 42c8b36dd7d61c619e7b1dc11e44d870 //同设备相同，使用md5加密的（方法是：md5(User-Agent)==>md5（"5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/105.0.0.0 Safari/537.36 Edg/105.0.1343.53"）
doctype: json
version: 2.1
keyfrom: fanyi.web
action: FY_BY_REALTlME
/*
解密出来了：sign的计算如下
define("newweb/common/service", ["./utils", "./md5", "./jquery-1.7"], function(e, t) {
var n = e("./jquery-1.7");
e("./utils");
e("./md5");
var r = function(e) {
var t = n.md5(navigator.appVersion)
, r = "" + (new Date).getTime()
, i = r + parseInt(10 * Math.random(), 10);
return {
ts: r,
bv: t,
salt: i,
sign: n.md5("fanyideskweb" + e + i + "Ygy_4c=r#e#4EX^NUGUc5") //在这里，e是要翻译的内容，i是毫秒级别的时间戳后面加上个0-9之间的随机数；后面这串字符串估计是服务器那边随机生成的，应该会变化。每次抓取的时候，可以查看下js代码
}
};
总体来说，data数据由函数“generateSaltSign”计算出来
*/
'''
'''
获取翻译结果
The_translated_string：被翻译的字符串
由于翻译是以行为单位，所以一行一个结果，函数将解析The_translated_string参数，并以字符串形式返回所有翻译结果
'''
def youdao_translate(The_translated_string:str):
if(The_translated_string == ""):
return {"":""}
url = r'https://fanyi.youdao.com/translate_o?smartresult=dict&smartresult=rule'
User_Agent = "5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/106.0.0.0 Safari/537.36 Edg/106.0.1370.37"
header = {
"Accept": "application/json, text/javascript, */*; q=0.01",
"Accept-Encoding": "gzip, deflate, br",
"Accept-Language": "zh-CN,zh;q=0.9,en;q=0.8,en-GB;q=0.7,en-US;q=0.6",
"Connection": "keep-alive",
#"Content-Length": "307",
"Content-Type": "application/x-www-form-urlencoded; charset=UTF-8",
"Cookie":"OUTFOX_SEARCH_USER_ID=1135160796@10.108.162.134; OUTFOX_SEARCH_USER_ID_NCOO=775555146.507473; JSESSIONID=aaaQ2GYK5N-ozb24rKNcy; SESSION_FROM_COOKIE=unknown; DICT_UGC=be3af0da19b5c5e6aa4e17bd8d90b28a|; JSESSIONID=abcPzon0RcZqc7GltuAgy; ___rl__test__cookies=1665366515354",
"Host": "fanyi.youdao.com",
"Origin": "https://fanyi.youdao.com",
"Referer": "https://fanyi.youdao.com/",
"sec-ch-ua": """\"Google Chrome";v="105", "Not)A;Brand";v="8", "Chromium";v="105"\"""",
"sec-ch-ua-mobile": "?0",
"sec-ch-ua-platform": "Windows",
"Sec-Fetch-Dest": "empty",
"Sec-Fetch-Mode": "cors",
"Sec-Fetch-Site": "same-origin",
"User-Agent": User_Agent,
"X-Requested-With": "XMLHttpRequest"
}
#The_translated_string=input("输入你要翻译的中文信息：\n") # 被翻译的字符串
timestamp = str(round(time.time()*1000)) # 毫秒级别的时间戳
salt = timestamp + str(random.randint(0, 9)) # 毫秒级别的时间戳后面加上个0-9之间的随机数
sign_str = "fanyideskweb" + The_translated_string + salt + "Ygy_4c=r#e#4EX^NUGUc5" # 构造签名字符串
# 签名，算法：sign: n.md5("fanyideskweb" + e + i + "Ygy_4c=r#e#4EX^NUGUc5") //在这里，后面这串字符串估计是服务器那边随机生成的，应该会变化。每次抓取的时候，可以查看下js代码
sign = hashlib.md5(str.encode(sign_str)).hexdigest()
# 同设备相同，使用md5加密的（方法是：md5(User-Agent)==>md5（"5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/105.0.0.0 Safari/537.36 Edg/105.0.1343.53"）
bv = hashlib.md5(str.encode(User_Agent)).hexdigest()
cookies = {
"OUTFOX_SEARCH_USER_ID": "1135160796@10.108.162.134",
"OUTFOX_SEARCH_USER_ID_NCOO": "775555146.507473",
"JSESSIONID": "aaaQ2GYK5N-ozb24rKNcy",
"SESSION_FROM_COOKIE": "unknown",
"DICT_UGC": "be3af0da19b5c5e6aa4e17bd8d90b28a|",
"JSESSIONID": "abcPzon0RcZqc7GltuAgy",
"___rl__test__cookies": "1665366515354"
}
data = {
"i": The_translated_string,
"from": "AUTO",
"to": "AUTO",
# 一般来说，是从中文翻译为英文
# "from": "zh-CHS",
# "to": "en",
"smartresult": "dict",
"client": "fanyideskweb",
"salt": salt,
"sign": sign,
"lts": timestamp,
"bv": bv,
"doctype": "json",
"version": "2.1",
"keyfrom": "fanyi.web",
"action": "FY_BY_CLICKBUTTION"
}
data = urlencode(data);
result = requests.post(url, data=data, cookies=cookies,headers=header)
json_result = json.loads(result.text);
#lines = The_translated_string.splitlines(); #按照行边界拆分
if(not json_result["errorCode"]):
ret_list="";
for i in json_result["translateResult"]: #如果源字符串就是存在段落的，则这里就会根据其来分结果
for j in i: #翻译服务器认为该分段的，这里就会再次存在子项
ret_list+=j['tgt']
ret_list+="\n"
#ret_list[json_result["translateResult"][i][0]["src"]]=json_result["translateResult"][i][0]["tgt"]
return ret_list;
else:
return "errorCode = "+str(json_result["errorCode"]);
#示例
'''
str_ = "你好\n世界\n我来了\n哈哈"
print(youdao_translate(str_))
-----out-----
{'你好': 'hello', '世界': 'The world', '我来了': "I'm coming", '哈哈': 'Ha ha'}
'''
'''
将变量“帮助文件解析结果”中的value翻译成中文
'''
def 执行翻译():
翻译结果 = copy.deepcopy(帮助文件解析结果) #这里执行了深拷贝了，所以它不再是外面的那个“翻译结果”变量了
翻译结果["SYNOPSIS"] = youdao_translate(翻译结果["SYNOPSIS"])
翻译结果["DESCRIPTION"] = youdao_translate(翻译结果["DESCRIPTION"])
for key,value in 翻译结果["PARAMETERS"].items():
if(value == ""):
continue
翻译结果["PARAMETERS"][key] = youdao_translate(value)
for key,value in 翻译结果["Example"].items():
if(value == ""):
continue
翻译结果["Example"][key] = youdao_translate(value)
temp_dict = {}
for key,value in 翻译结果["Example"].items():
if(key == ""):
continue
temp_dict[youdao_translate(key)] = value
翻译结果["Example"] = temp_dict
return 翻译结果
'''
设置表格所有单元格的四个边为0.5磅，黑色，实线
可以使用返回值，也可以不使用
'''
def 设置表格网格线为黑色实线(table_object:object):
kwargs = {
"top":{"sz": 4, "val": "single", "color": "#000000"},
"bottom":{"sz": 4, "val": "single", "color": "#000000"},
"left":{"sz": 4, "val": "single", "color": "#000000"},
"right":{"sz": 4, "val": "single", "color": "#000000"},
"insideV":{"sz": 4, "val": "single", "color": "#000000"},
"insideH":{"sz": 4, "val": "single", "color": "#000000"}
}
borders = docx.oxml.OxmlElement('w:tblBorders')
for tag in ('bottom', 'top', 'left', 'right', 'insideV', 'insideH'):
edge_data = kwargs.get(tag)
if edge_data:
any_border = docx.oxml.OxmlElement(f'w:{tag}')
for key in ["sz", "val", "color", "space", "shadow"]:
if key in edge_data:
any_border.set(docx.oxml.ns.qn(f'w:{key}'), str(edge_data[key]))
borders.append(any_border)
table_object._tbl.tblPr.append(borders)
return table_object
'''
设置标题样式
'''
def 设置标题样式为黑色宋体(heading_object:object):
heading_object.alignment = docx.enum.text.WD_ALIGN_PARAGRAPH.LEFT #左对齐
for run in heading_object.runs:
run.font.name=u'宋体' #设置为宋体
#run._element.rPr.rFonts.set(qn('w:eastAsia'), u'宋体')#设置为宋体，和上边的一起使用
run.font.color.rgb = docx.shared.RGBColor(0,0,0)#设置颜色为黑色
return heading_object
'''
创建docx文档，将翻译结果和原文写入文档中
'''
def word():
my_word_doc = docx.Document() #打开一个空白文档
# for style in my_word_doc.styles:
# print(style)
heading = my_word_doc.add_heading(翻译结果["NAME"],level=2) #指定样式标题2
设置标题样式为黑色宋体(heading)
heading = my_word_doc.add_heading("描述",level=3) #指定样式标题3
设置标题样式为黑色宋体(heading)
for line in 翻译结果["SYNOPSIS"].split("\n"):
my_word_doc.add_paragraph(line)
for line in 翻译结果["DESCRIPTION"].split("\n"):
my_word_doc.add_paragraph(line)
heading = my_word_doc.add_heading("参数",level=3) #指定样式标题3
设置标题样式为黑色宋体(heading)
#table = my_word_doc.add_table(rows=len(翻译结果["PARAMETERS"]), cols=3) #指定样式标题3；在末尾添加一个表
table = my_word_doc.add_table(rows=len(翻译结果["PARAMETERS"]), cols=2) #指定样式标题3；在末尾添加一个表
#table.style = my_word_doc.styles['Medium Grid 1']
设置表格网格线为黑色实线(table)
index=0
for key,value in 翻译结果["PARAMETERS"].items():
for line in key.split("\n"):
cell = table.cell(index,0)
cell.text += line
for line in value.split("\n"):
table.cell(index,1).text += line
#table.cell(index,1).text = 帮助文件解析结果["PARAMETERS"][key]
cell_paragraphs = table.cell(index,0).paragraphs
for i in cell_paragraphs:
i.alignment = docx.enum.text.WD_PARAGRAPH_ALIGNMENT.LEFT #左对齐
cell_paragraphs = table.cell(index,1).paragraphs
for i in cell_paragraphs:
i.alignment = docx.enum.text.WD_PARAGRAPH_ALIGNMENT.LEFT #左对齐
# table.cell(index,2).text = value
# cell_paragraphs = table.cell(index,2).paragraphs
# for i in cell_paragraphs:
# i.alignment = docx.enum.text.WD_PARAGRAPH_ALIGNMENT.LEFT #左对齐
index += 1
heading = my_word_doc.add_heading("示例",level=3) #指定样式标题3
设置标题样式为黑色宋体(heading)
for key,value in 翻译结果["Example"].items():
heading = my_word_doc.add_heading(key[0:-1],level=4) #指定样式标题4
设置标题样式为黑色宋体(heading)
for line in value.split("\n"):
my_word_doc.add_paragraph(line)
my_word_doc.save(r"C:\Users\xxx\Downloads\temp.docx")
解析PowerShell命令的帮助文本(r"C:\Users\xxx\Downloads\Get-CimClass.txt")
#有道翻译的新版翻译结果解析实在是太变态了，我搞不了，是在不行就把格式弄好，使用文档翻译翻译吧。
#翻译结果 = 执行翻译()
翻译结果=帮助文件解析结果
word()Copy after login
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How to control the size of XML converted to images?
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To generate images through XML, you need to use graph libraries (such as Pillow and JFreeChart) as bridges to generate images based on metadata (size, color) in XML. The key to controlling the size of the image is to adjust the values of the <width> and <height> tags in XML. However, in practical applications, the complexity of XML structure, the fineness of graph drawing, the speed of image generation and memory consumption, and the selection of image formats all have an impact on the generated image size. Therefore, it is necessary to have a deep understanding of XML structure, proficient in the graphics library, and consider factors such as optimization algorithms and image format selection.
How to open xml format
Apr 02, 2025 pm 09:00 PM
Use most text editors to open XML files; if you need a more intuitive tree display, you can use an XML editor, such as Oxygen XML Editor or XMLSpy; if you process XML data in a program, you need to use a programming language (such as Python) and XML libraries (such as xml.etree.ElementTree) to parse.
How to convert xml into pictures
Apr 03, 2025 am 07:39 AM
XML can be converted to images by using an XSLT converter or image library. XSLT Converter: Use an XSLT processor and stylesheet to convert XML to images. Image Library: Use libraries such as PIL or ImageMagick to create images from XML data, such as drawing shapes and text.
Recommended XML formatting tool
Apr 02, 2025 pm 09:03 PM
XML formatting tools can type code according to rules to improve readability and understanding. When selecting a tool, pay attention to customization capabilities, handling of special circumstances, performance and ease of use. Commonly used tool types include online tools, IDE plug-ins, and command-line tools.
