invalid-data-cleaning

Installation
SKILL.md

Invalid_Data_Cleaning

This sub-skill covers one capability of the Excel workflow. For reading/counting/Parquet optimization, see the parent workflow SKILL.md.

Skill Steps

Step1 根据总行数判断是否数据量过大,若满足条件,则将 Excel 文件转换为 Parquet 格式提升读写效率,再读取数据进行后续分析。

import pandas as pd

file_path = "input_data.xlsx"
parquet_path = "temp_data.parquet"

# 读取 Excel 文件并转换为 Parquet 格式
xls = pd.ExcelFile(file_path)
dfs = []
for sheet in xls.sheet_names:
    df_sheet = pd.read_excel(xls, sheet_name=sheet)
    dfs.append(df_sheet)
Installs
2
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First Seen
Jul 3, 2026
invalid-data-cleaning — opensensenova/sensenova-skills