import markdown2
import pandas as pd
def datas_to_table_html(data):
df = pd.DataFrame(data[1:], columns=data[0])
table_style = """"""
html_table = df.to_html(index=False, escape=False)
html = f"{table_style}{html_table}"
return html.replace("\n", " ")
def generate_markdown_table(data):
"""\n 生成 Markdown 表格\n data: 一个包含表头和表格内容的二维列表\n"""
# 获取表格列数
num_cols = len(data[0])
# 生成表头
header = "| "
for i in range(num_cols):
header += data[0][i] + " | "
# 生成分隔线
separator = "| "
for i in range(num_cols):
separator += "--- | "
# 生成表格内容
content = ""
for row in data[1:]:
content += "| "
for i in range(num_cols):
content += str(row[i]) + " | "
content += "\n"
# 合并表头、分隔线和表格内容
table = header + "\n" + separator + "\n" + content
return table
def generate_htm_table(data):
markdown_text = generate_markdown_table(data)
html_table = markdown2.markdown(markdown_text, extras=["tables"])
return html_table
if __name__ == "__main__":
# mk_text = "| user_name | phone | email | city | create_time | last_login_time | \n| --- | --- | --- | --- | --- | --- | \n| zhangsan | 123 | None | 上海 | 2023-05-13 09:09:09 | None | \n| hanmeimei | 123 | None | 上海 | 2023-05-13 09:09:09 | None | \n| wangwu | 123 | None | 上海 | 2023-05-13 09:09:09 | None | \n| test1 | 123 | None | 成都 | 2023-05-12 09:09:09 | None | \n| test2 | 123 | None | 成都 | 2023-05-11 09:09:09 | None | \n| test3 | 23 | None | 成都 | 2023-05-12 09:09:09 | None | \n| test4 | 23 | None | 成都 | 2023-05-09 09:09:09 | None | \n| test5 | 123 | None | 上海 | 2023-05-08 09:09:09 | None | \n| test6 | 123 | None | 成都 | 2023-05-08 09:09:09 | None | \n| test7 | 23 | None | 上海 | 2023-05-10 09:09:09 | None |\n"
# print(generate_htm_table(mk_text))
table_style = """"""
print(table_style.replace("\n", " "))