Preparation work for environmental construction: 1. Install Python: Python is the foundation for running pyExcel, and you can download and install Python from the official website (Python. org). 2. Install pyExcel: You can use the pip command to install pyExcel, open a terminal or command line window, and run the following command: pip install pyExcel Dependent class libraries: 1. pyexcel: It provides the function of reading and writing Excel, CSV, TSV, HTML, JSON and other spreadsheet files. 2. pyexcel io: Provides support for interacting with different file formats. Complete sample code: Firstly, we will demonstrate how to read and write Excel files, and then introduce how to handle other file formats. ```python #Import pyexcel module import pyexcel as pe #Read Excel file sheet = pe.get_sheet(file_name='example.xlsx') #Output the content of an Excel file for row in sheet: print(row) #Write to Excel file data = [["Name", "Age"], ["John", 25], ["Lisa", 30]] sheet = pe.Sheet(data) sheet.save_as("example_output.xlsx") #Read CSV file sheet = pe.get_sheet(file_name='example.csv') #Output the content of a CSV file for row in sheet: print(row) #Write CSV file data = [["Name", "Age"], ["John", 25], ["Lisa", 30]] sheet = pe.Sheet(data) sheet.save_as("example_output.csv") #Read TSV file sheet = pe.get_sheet(file_name='example.tsv') #Output the content of the TSV file for row in sheet: print(row) #Write TSV file data = [["Name", "Age"], ["John", 25], ["Lisa", 30]] sheet = pe.Sheet(data) sheet.save_as("example_output.tsv") #Read HTML file sheet = pe.get_sheet(file_name='example.html') #Output the content of an HTML file for row in sheet: print(row) #Write HTML file data = [["Name", "Age"], ["John", 25], ["Lisa", 30]] sheet = pe.Sheet(data) sheet.save_as("example_output.html") #Reading JSON files sheet = pe.get_sheet(file_name='example.json') #Output the content of the JSON file for row in sheet: print(row) #Write JSON file data = [["Name", "Age"], ["John", 25], ["Lisa", 30]] sheet = pe.Sheet(data) sheet.save_as("example_output.json") ``` Summary: Using pyexcel, you can easily read and write a variety of spreadsheets, including Excel, CSV, TSV, HTML, JSON, and so on. It provides a simple and easy to use interface, which makes it easy and fast to process spreadsheet files.

Preparation work: 1. Install Python: First, you need to install Python on your computer. You can download the installation package from the official Python website and follow the installation wizard to install it. 2. Install pyExcel class library: After installing Python, you can use the pip command to install the pyExcel class library. Enter the following command on the command line to complete the installation: ``` pip install pyexcel ``` Dependent class libraries: The pyexcel class library itself contains multiple sub modules, each used to process different types of data files. In this example, we will use the pyexcel xls module to process Excel files. Please ensure that the module is installed. You can install using the following command: ``` pip install pyexcel-xls ``` Complete sample code: ``` import pyexcel as pe #Read Excel file and load data into memory data = pe.get_records(file_name="data.xlsx") #Filter based on the value of a column filtered_data = [record for record in data if record["age"] > 30] #Sort by the value of a column sorted_data = sorted(data, key=lambda record: record["age"]) #Format output results for record in sorted_data: print(f"Name: {record['name']}, Age: {record['age']}") #Save filtered and sorted data as a new Excel file pe.save_as(records=filtered_data, dest_file_name="filtered_data.xlsx") ``` Summary: Through the Pyexcel class library, we can easily read and process data in Excel files. In the preparation work, we need to install Python and pyExcel class libraries, and ensure that the dependent pyExcel xls modules have been installed. In the implementation example, we demonstrated how to use pyExcel for data filtering, sorting, and formatting, as well as how to save the processed data as a new Excel file. Using pyexcel can simplify the data processing process and improve development efficiency.

Environmental construction and preparation work: In order to use pyexcel to verify and verify the data of spreadsheet files, we need to make the following preparations: 1. Install Python: Ensure that Python is already installed on the computer. 2. Install pyExcel: You can use the pip tool to execute the following commands on the command line to install pyExcel: ``` $ pip install pyexcel pyexcel-xlsx ``` Dependent class libraries: 1. pyexcel: used to read and write spreadsheet files. 2. pyexcel xlsx: Used to process Excel file formats. After completing the above preparation work, we can proceed with the implementation of the following examples. The complete Python code is as follows: ```python import pyexcel def validate_data(data): error_msgs = [] for row in data: for value in row: if not isinstance(value, int): error_msgs.append(f"Invalid data type: {value}") if not 1 <= value <= 100: error_msgs.append(f"Data out of range: {value}") if not is_valid(value): error_msgs.append(f"Invalid data: {value}") return error_msgs def is_valid(value): #Customized legitimacy verification function #Returning True indicates legality, returning False indicates illegality return value % 2 == 0 def main(): #Read Excel file data = pyexcel.get_array(file_name='example.xlsx') #Data validation and validation error_msgs = validate_data(data) #Print verification error information if error_msgs: for msg in error_msgs: print(msg) else: print("Data is valid") if __name__ == "__main__": main() ``` Sample explanation: The above code mainly includes the following parts: 1. 'validate'_ The 'data' function is used to verify and validate the incoming data. I did the following simple checksum verification in the sample: -Traverse each value in the data to determine if it is of integer type. If not, add error information to 'error'_ Msgs ` in the list. -Determine if the value is within the valid range (1 to 100), and if it is not within the range, add the error message to 'error'_ Msgs ` in the list. -Calling Custom Legitimacy Verification Function ` is_ Valid 'performs more complex verification, and if it does not comply with the rules, error information will be added to' error '_ Msgs ` in the list. -Return a list of validation error messages ` error_ Msgs `. 2. ` is_ The 'valid' function is used to customize validity validation rules. In this example, I only defined a simple rule that is only considered legal when the value is even. You can define more complex rules based on your own needs. 3. 'main' function: Main function used to read Excel files and call 'validate'_ The 'data' function performs data validation and validation. If there is a verification error message, print it out; otherwise, print "Data is valid". Summary: It is very convenient to use pyexcel to verify the data of spreadsheet files. Through the installation and introduction of class libraries in the preparation work, we can use pyExcel to read Excel files and verify and verify the data in them. The code in the example provides a simple example that you can expand and modify according to your own needs.

Preparation for environmental construction: 1. Ensure that Python is installed (recommended version 3.6 and above). 2. Use PIP to install the required class libraries and tools. ``` $ pip install pyexcel pyexcel-xls pyexcel-xlsx pyexcel-ods3 pycrypto ``` Dependent class libraries: 1. 'pyexcel' - used to read and write spreadsheet files. 2. 'pyexcel xls' - used to process spreadsheet files in XLS format. 3. 'pyexcel xlsx' - used to process spreadsheet files in XLSX format. 4. 'pyexcel ods3' - used to process spreadsheet files in ODS format. 5. 'pycrypto' - used to encrypt and decrypt spreadsheet files. Complete sample code: ```python import pyexcel as pe from pyexcel._compact import BytesIO from Crypto.Cipher import AES def encrypt_file(file_path, key): #Read Spreadsheet File content = pe.get_array(file_name=file_path) #Convert spreadsheet contents to strings content_str = "".join(str(row) for row in content) #Encrypted String cipher = AES.new(key, AES.MODE_EAX) nonce = cipher.nonce ciphertext, tag = cipher.encrypt_and_digest(content_str.encode()) #Save encrypted content to a new spreadsheet file encrypted_file_path = file_path + ".encrypted" with open(encrypted_file_path, "wb") as file: file.write(nonce) file.write(tag) file.write(ciphertext) Print ("File encrypted and saved as:"+encrypted_file_path) def decrypt_file(file_path, key): #Read encrypted spreadsheet file with open(file_path, "rb") as file: nonce = file.read(16) tag = file.read(16) ciphertext = file.read() #Decrypting content cipher = AES.new(key, AES.MODE_EAX, nonce=nonce) content_str = cipher.decrypt_and_verify(ciphertext, tag).decode() #Convert string to spreadsheet content content_list = eval(content_str) #Extract the original file name original_file_name = file_path.replace(".encrypted", "").replace(".xls", "").replace(".xlsx", "").replace(".ods", "") #Save the decrypted content to a new spreadsheet file decrypted_file_path = original_file_name + ".decrypted.xls" pe.save_as(array=content_list, dest_file_name=decrypted_file_path) Print ("File decrypted and saved as:"+decrypted_file_path) #Testing file_path = "example.xls" Key=b "MySecretKey123456" # Encryption key (16 bytes) #Encrypt files encrypt_file(file_path, key) #Decrypting files decrypt_file(file_path + ".encrypted", key) ``` Summary: The above example shows how to use pyexcel and pycrypto libraries to encrypt and decrypt spreadsheet files. By reading the content of the file and converting it into a string, then encrypting it using the AES algorithm and saving it to a new file. The decryption process is the opposite, reading the contents of the encrypted file, decrypting the string and converting it back to the spreadsheet format, and finally saving it as the decrypted file. Please note that the encryption key should be 16 bytes of binary data. In the example, we used b "MySecretKey123456" as the key, and you can use your own key to encrypt and decrypt files.

Preparation work for environmental construction: 1. Install Python: On the Python official website（ https://www.python.org/ ）Download the latest version of Python and follow the installation prompts to install it. 2. Install the Python docx library: Run 'pip install Python docx' from the command line to install the Python docx library. Dependent class libraries: -Python docx: A Python library for creating and modifying Microsoft Word documents. The following is a complete example showing how to use Python docx to create and modify Word documents: ```python from docx import Document from docx.shared import Pt #Create a new Word document object doc = Document() #Set Document Title title = doc.add_heading(level=0) title.alignment = 1 run = title.add_run("My Document Title") run.bold = True run.font.size = Pt(18) #Add paragraph paragraph = doc.add_paragraph() run = paragraph.add_run("This is a paragraph.") #Add Table table = doc.add_table(rows=3, cols=3) Table. style="Table Grid" # Set Table Style #Fill in Table Content for i in range(3): for j in range(3): cell = table.cell(i, j) cell.text = f"Row {i+1}, Col {j+1}" #Save Document doc.save("my_document.docx") ``` The above code first imports the 'Document' and 'Pt' classes, which are used to create and modify Word documents, and the 'Pt' class is used to set font size. Then, we create a new Word document object 'doc' and set the document title using 'add'_ The 'heading' method creates a title, with 'level=0' representing the first level title. The 'alignment' attribute sets the title to be centered, the 'bold' attribute sets the title to bold, and the 'font. size' attribute sets the font size of the title. Next, use 'add'_ The 'paragraph' method adds a paragraph using 'add'_ The 'run' method adds specific textual content. Then, use 'add'_ The 'table' method adds a table, specifying the number of rows and columns in the table, and sets the table style using the 'style' attribute. Here, the 'Table Grid' style is selected. Finally, use two nested 'for' loops to traverse all cells in the table, and use the 'cell. text' attribute to set the text content of the cells. Finally, use the 'save' method to save the document and specify the saved file name. Summary: The Python docx library makes it easy to create and modify Microsoft Word documents. By using the 'Document' class, 'Heading' class, 'Paragraph' class, and 'Table' class, you can create and modify document titles, paragraphs, and tables.

In order to use the Python docx library to modify the format of Word documents, we need to first build a Python development environment and install relevant class libraries. 1. Environmental construction: -Install Python: From the official Python website（ https://www.python.org/ ）Download and install the latest version of Python. -Install pip: pip is a package management tool for Python, used to install third-party class libraries. Execute the following command on the command line to install pip: ``` python -m ensurepip --default-pip ``` -Install the Python docx library: Execute the following command from the command line to install the Python docx library: ``` pip install python-docx ``` 2. Dependent class libraries: -Python docx: This is a Python class library for creating and modifying Word documents. It provides rich functions, including modifying fonts, colors, alignment, and more. The following is a complete implementation example and provides the complete Python code: ```python from docx import Document from docx.shared import Pt, RGBColor from docx.enum.text import WD_PARAGRAPH_ALIGNMENT #Create a new Word document doc = Document() #Add a paragraph of text paragraph = doc.add_paragraph('Hello, World!') #Modify font size paragraph.runs[0].font.size = Pt(18) #Modify font color paragraph.runs[0].font.color.rgb = RGBColor(0x00, 0x00, 0xFF) #Modify paragraph alignment paragraph.alignment = WD_PARAGRAPH_ALIGNMENT.CENTER #Add another paragraph of text paragraph = doc.add_paragraph('This is a sample paragraph.') #Modify Indent paragraph.alignment = WD_PARAGRAPH_ALIGNMENT.JUSTIFY paragraph.paragraph_format.left_indent = Pt(20) #Save Document doc.save('sample.docx') ``` The above code creates a new Word document and adds two paragraphs of text. The first paragraph uses a font size of 18, blue font color, and centered alignment. The second paragraph uses the default font size, black font color, and is aligned at both ends, with an indentation of 20 points. Finally, save the document as sample.docx. Summary: Through the Python docx library, we can easily modify the formatting of Word documents, including fonts, colors, alignment, indentation, and more. This library provides rich functionality that can meet most needs. At the same time, the library is easy to install and use, making it a good choice for processing Word documents.

Before using the Python docx library, the following environment and dependent class libraries need to be prepared: 1. Install Python: Ensure that the Python interpreter is already installed on your machine. You can find it on the official Python website（ https://www.python.org/ ）Download and install the latest version of Python from. 2. Install the Python docx library: You can use the following command from the command line to install the Python docx library: ``` pip install python-docx ``` After the installation is completed, you can start using the Python docx library to read the content and formatting information of Word documents. The following is a complete example that shows how to use the Python docx library to read the content and formatting information of a Word document: ```python from docx import Document def read_word_docx(file_path): #Create a Document object doc = Document(file_path) #Number of paragraphs in the output document print("Number of paragraphs: {}".format(len(doc.paragraphs))) #Output the content and formatting information of all paragraphs for paragraph in doc.paragraphs: print("Paragraph content: {}".format(paragraph.text)) print("Paragraph style: {}".format(paragraph.style.name)) print("") #Number of tables in the output document print("Number of tables: {}".format(len(doc.tables))) #Output the content and formatting information of all tables for table in doc.tables: for row in table.rows: for cell in row.cells: print("Cell contents: {}".format(cell.text)) print("Cell width: {}".format(cell.width)) print("Cell background color: {}".format(cell.shading.background_color)) print("") #Calling a function to read a Word document read_word_docx("example.docx") ``` Running the above code will read a Word document named 'example. docx' and output the number of paragraphs, paragraph content, and style information in the document, as well as the number of tables, table content, and formatting information. Summary: By installing the Python docx library and using the Document object it provides, it is easy to read the content and formatting information of Word documents. This library provides a series of methods and properties that can be used to access the content and formatting information of paragraphs, tables, images, and other elements in a document. By using the Python docx library, we can process Word documents in Python, perform document parsing, modification, and generation operations.

Preparation work: 1. Ensure that Python is installed and environment variables are configured. 2. Install the Python docx library. You can use the pip command to execute the following commands on the command line for installation: ``` pip install python-docx ``` After the installation is completed, we can use the Python docx library to manipulate Word documents in Python. Dependent class libraries: 1. Import the Document class from the Python docx library for creating and manipulating Word documents. 2. Import the Font class and Paragraph class from the Python docx library to set text styles. 3. Import the Section class and TableOfContents class from the Python docx library to create a directory. Complete sample implementation: ```python from docx import Document from docx.shared import Pt from docx.oxml.ns import nsdecls from docx.oxml import parse_xml from lxml import etree #Create a new Word document doc = Document() #Add hyperlink Doc.add_ Paragraph ('This is an example of a hyperlink that can be clicked to open the Baidu homepage. ') paragraph = doc.add_paragraph() r = paragraph.add_run() r. Add_ Text ('Click here ') r.hyperlink.address = 'http://www.baidu.com' #Add Text Box Doc.add_ Paragraph ('This is an example of a text box where you can enter text. ') xml = """ <w:txbxContent xmlns:w="http://schemas.openxmlformats.org/wordprocessingml/2006/main"> <w:p> <w:r> This is a text box</ w: T> </w:r> </w:p> </w:txbxContent> """ tbx = parse_xml(xml) tbx_wd = doc.inline_shapes.add_spreadsheet_image(tbx) tbx_wd.width = Pt(200) tbx_wd.height = Pt(100) #Create directory doc.add_section() Doc.add_ Paragraph ('directory ') toc = doc.add_paragraph() run = toc.add_run() rId = run._r.get_or_add_rPr().get_or_add_rStyle().set(nsdecls('w15', 'w')) r_element = run._r r_toc_element = doc.element.body.findall('.//w:sdt') for toc_element in r_toc_element: toc_element.remove(toc_element.getchildren()[2]) toc_element.append(etree.fromstring('<w:r><w:fldSimple w:instr="TOC \\b \\h \\z \\t" /></w:r>')) toc_element.append(etree.fromstring('<w:r><w:lastRenderedPageBreak /></w:r>')) #Save Document doc.save('example.docx') ``` Summary: The above code allows us to insert hyperlinks, text boxes, and directories into Word documents by using the Python docx library. Firstly, we import the required class libraries and then create a new Word document. Continue using add_ The paragraph () method adds text and uses add_ The run() method adds a hyperlink. Using parse_ The xml() function can convert custom XML into a text box and use add_ Spreadsheet_ The image() method adds a text box to the document. Finally, use add_ Section(), add_ Paragraph() and add_ The run() method creates a directory and automatically generates the directory by setting XML. After saving the document, we can find the generated example.docx file in the specified location. I hope the above content can help you. If you have any questions, please feel free to ask.

Environmental construction and preparation work: 1. Install Python: First, you need to install a Python interpreter. You can download the latest version of Python from the official Python website and follow the installation steps. 2. Install the Python docx library: In the Python environment, use the pip command to install the Python docx library. You can run the following command from the command prompt to install it: ``` pip install python-docx ``` Dependent class libraries: -Python docx: This is a Python library used to create, modify, and read Microsoft Word documents. Complete sample and code: The following is a complete example and code for inserting formulas, tables, and charts into Word documents using the Python docx library. ```python #Import the required library from docx import Document from docx.shared import Inches from docx.enum.text import WD_PARAGRAPH_ALIGNMENT from docx.oxml import OxmlElement from docx.oxml.ns import nsdecls from docx.oxml import parse_xml from docx.oxml.text.paragraph import CT_P from docx.oxml.table import CT_Tbl #Create a new Word document doc = Document() #Insert Formula def insert_formula(para, formula): #Create a paragraph p = doc.add_paragraph() #Define the namespace of the formula ns = 'w' nsmap = {ns: nsdecls('w')} #Create an OMath object o_math = OxmlElement('m:oMath') o_math = parse_xml(o_math.xml, nsmap=nsmap) #Create an OMathPara object o_math_para = OxmlElement('m:oMathPara') o_math_para = parse_xml(o_math_para.xml, nsmap=nsmap) #Create an OMathR object o_math_run = OxmlElement('m:r') o_math_run = parse_xml(o_math_run.xml, nsmap=nsmap) #Create an OMath object o_math_text = OxmlElement('m:t') o_math_text = parse_xml(o_math_text.xml, nsmap=nsmap) o_math_text.text = formula o_math_run.append(o_math_text) #Add OMathR object to OMathPara object o_math_para.append(o_math_run) #Add OMathPara object to OMath object o_math.append(o_math_para) #Add OMath object to paragraph p._p.append(o_math) #Add paragraphs to the document para.add_run().add_paragraph() #Insert Table def insert_table(): #Create a table table = doc.add_table(rows=3, cols=3) #Traverse each cell in the table for i in range(3): for j in range(3): cell = table.cell(i, j) cell.text = f"Cell {i+1}-{j+1}" #Set Table Style table.style = "Table Grid" #Insert Chart def insert_chart(): #Create a chart chart = doc.add_chart("bar", xlsx_path=None) #Add data data = [['A', 'B', 'C'], [1, 2, 3]] chart.add_series("Series 1", data) #Set Chart Title chart.has_title = True chart.chart_title.text = "Sample Chart" #Add a chart to the document doc.add_paragraph().add_run().add_chart(chart) #Insert Formula Heading=doc. add_ Heading ('Formula example ', level=1) insert_formula(heading, "a^2 + b^2 = c^2") #Insert Table Heading=doc. add_ Heading ('Table example ', level=1) insert_table() #Insert Chart Heading=doc. add_ Heading ('Chart example ', level=1) insert_chart() #Save Document doc.save('sample.docx') Print ("Word document has been generated and saved successfully!") ``` Summary: The Python docx library makes it easy to manipulate Word documents and insert formulas, tables, and charts. Through our understanding of the library, we can use Python to automate the creation and modification of Word documents, achieving more efficient workflows.

Preparation work: Before starting, make sure you have installed Python correctly. You can access it from the Python official website（ https://www.python.org/downloads/ ）Download and install the latest Python version. Next, you also need to install the Python docx library. You can install the library by running the following command: ``` pip install python-docx ``` Dependent class libraries: In this example, we will use the Python docx library to process Word documents. This library provides various classes and methods for manipulating Word documents. Complete sample implementation: Next, we will demonstrate how to use the Python docx library to insert and modify annotations and bookmarks into Word documents. Here is a complete Python code example: ```python from docx import Document #Insert annotations into the document def insert_comment(doc, comment_text, comment_author, comment_range): comments = doc.part.element.comments comment_id = len(comments) + 1 comment = doc.part.element.makeelement('comment') comment.attrib["w:id"] = str(comment_id) comment.attrib["w:author"] = comment_author comment.attrib["w:date"] = str(datetime.now()) p = doc.add_paragraph(comment_text) comment.append(p._element) comment_range.insert_comment(comment_id) comments.append(comment) #Modify annotation content def modify_comment(doc, comment_id, new_comment_text): comments = doc.part.element.comments for comment in comments.iterchildren('comment'): if comment.attrib["w:id"] == str(comment_id): p = comment.find('p') if p is not None: comment.remove(p) p = doc.add_paragraph(new_comment_text) comment.append(p._element) break #Insert a bookmark into the document def insert_bookmark(doc, bookmark_name, bookmark_text): run = doc.add_paragraph().add_run() field = run.fields.add_field(' MERGEFIELD {} '.format(bookmark_name)) bookmark = run.bookmarks.add(bookmark_name) t_range = bookmark.range t_range.text = bookmark_text #Modify bookmark content def modify_bookmark(doc, bookmark_name, new_bookmark_text): for bookmark in doc.paragraphs.runs.bookmarks: if bookmark.name == bookmark_name: bookmark.range.text = new_bookmark_text break #Create Document doc = Document() #Insert Comment comment_text = "This is a comment." comment_author = "John Doe" comment_range = doc.add_paragraph("This is the commented text.") insert_comment(doc, comment_text, comment_author, comment_range) #Modify annotations new_comment_text = "This is the modified comment." modify_comment(doc, 1, new_comment_text) #Insert Bookmark bookmark_name = "myBookmark" bookmark_text = "This is the bookmarked text." insert_bookmark(doc, bookmark_name, bookmark_text) #Modify Bookmark new_bookmark_text = "This is the modified bookmark text." modify_bookmark(doc, bookmark_name, new_bookmark_text) #Save Document doc.save("output.docx") ``` Summary: This article introduces how to use the Python docx library to insert and modify annotations and bookmarks into Word documents. By using this library, we can easily manipulate Word documents and achieve automated document processing. I hope this article can be helpful to you!