Great question! Plotly's figure factory tables are great for visualizations, but they're rendered as static images or interactive HTML elements—not exactly what you need for a copy-pasteable, editable Word table. Luckily, there are several Python libraries that can help you create tables that work seamlessly with Word.

Option 1: Use Pandas for Quick Copy-Pasteable Tables #

Pandas makes it super easy to convert your data into an HTML table, which Word can interpret perfectly as an editable, adjustable table. Here's how:

import pandas as pd
import pyperclip

# Sample dataset
data = {
    "Name": ["Alice", "Bob", "Charlie"],
    "Age": [25, 30, 35],
    "City": ["New York", "London", "Paris"]
}
df = pd.DataFrame(data)

# Convert DataFrame to HTML with a border (matches Word's grid style)
html_table = df.to_html(index=False, border=1)

# Copy the table to your clipboard
pyperclip.copy(html_table)

Run this code, then paste directly into Word—the table will be fully editable: you can tweak column widths, borders, fonts, and everything else just like a native Word table.

Option 2: Use python-docx to Build Native Word Tables #

If you want to generate a Word document directly with a table identical to the ones you insert via Word's "Insert > Table" menu, python-docx is your best bet. It creates fully customizable tables from scratch:

from docx import Document
from docx.shared import Pt
from docx.enum.table import WD_ALIGN_VERTICAL

doc = Document()

# Add a table with 4 rows (1 header + 3 data rows) and 3 columns
table = doc.add_table(rows=4, cols=3)
table.style = "Table Grid"  # Matches Word's default grid table style

# Set up header cells
header_cells = table.rows[0].cells
header_cells[0].text = "Name"
header_cells[1].text = "Age"
header_cells[2].text = "City"

# Populate data rows
data_rows = [
    ("Alice", "25", "New York"),
    ("Bob", "30", "London"),
    ("Charlie", "35", "Paris")
]

for idx, (name, age, city) in enumerate(data_rows, start=1):
    row_cells = table.rows[idx].cells
    row_cells[0].text = name
    row_cells[1].text = age
    row_cells[2].text = city

# Optional: Match Word's default formatting
for row in table.rows:
    for cell in row.cells:
        cell.vertical_alignment = WD_ALIGN_VERTICAL.CENTER
        for paragraph in cell.paragraphs:
            for run in paragraph.runs:
                run.font.size = Pt(11)
                run.font.name = "Calibri"

# Save the document
doc.save("editable_word_table.docx")

Open the saved .docx file, and you’ll have a table that behaves exactly like one you’d create in Word—adjust borders, merge cells, change styles, and more with no restrictions.

Option 3: Plotly Workaround (Less Ideal) #

If you really want to stick with Plotly, you can export the table as HTML, open it in a browser, copy the table, and paste into Word. However, this often requires extra formatting cleanup compared to the methods above. Here’s how to export a Plotly table to HTML:

import plotly.figure_factory as ff

# Sample table data
data = [["Name", "Age", "City"],
        ["Alice", 25, "New York"],
        ["Bob", 30, "London"],
        ["Charlie", 35, "Paris"]]

fig = ff.create_table(data)
fig.write_html("plotly_table.html")

Open the HTML file, copy the table, and paste into Word—it will be editable, but you may need to adjust borders or spacing to match Word’s style.

Final Recommendation #

For the most seamless experience with Word, go with python-docx if you need to generate a full Word document, or Pandas + pyperclip for quick copy-paste workflows. Both methods produce tables that behave exactly like native Word tables, with full adjustability.

内容的提问来源于stack exchange，提问作者KubiK888