dynamic-large-file-parquet-analysis SKILL.md skillA
dynamic-large-file-parquet-analysis from opensensenova/sensenova-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add opensensenova/sensenova-skills/dynamic-large-file-parquet-analysis@git:20260426.f0ab496Pins git:20260426.f0ab496 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- opensensenova/sensenova-skills
- Path
skills/sn-da-excel-workflow/capability/excel-table-styling/table-theme-styling/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260426.f0ab496, committed Apr 26, 2026
- Size
- 2,298 bytes
- Repository stars
- 6,031
- License
- MIT
动态统计Excel总行数，当数据量过大（≥10000行）时自动转换为Parquet格式加速读取，并对指定目标列进行条件筛选、分类汇总与结果导出，适用于超大体积Excel文件的快速读取与统计分析。.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Skill Steps
> This sub-skill covers one capability of the Excel workflow. For reading/counting/Parquet optimization, see the parent workflow SKILL.md.
Step1 动态读取数据（Parquet加速或常规读取）。
```python
# 若已加载 sn-da-large-file-analysis 技能，将 Excel 文件转换为 Parquet 格式加速读取
if 'da_large_file_analysis' in globals():
# 假设 sn-da-large-file-analysis 转换后生成了 parquet 文件
parquet_path = 'auto_converted_data.parquet'
df = pd.read_parquet(parquet_path)
print("已使用 Parquet 格式加速读取大文件。")
else:
df = pd.read_excel(file_path, sheet_name='Sheet1', header=0)
print("文件较小，使用常规方式读取。")
```
Step2 对目标列进行条件筛选，并按分组列进行分类汇总（包含占比与总计）。
```python
target_col = '目标列名' # 示例：'危险级别'
group_col = '分组列名' # 示例：'分项工程'
target_value = 'TARGET_VALUE' # 示例：'★★★★'
# 筛选包含特定值的记录
df_filtered = df[df[target_col].astype(str).str.contains(target_value, na=False)].copy()
# 分类汇总
result = df_filtered[group_col].value_counts()
result_df = pd.DataFrame({
group_col: result.index,
'数量': result.values
})
# 计算占比并添加总计行
if not result_df.empty:
result_df['占比'] = (result_df['数量'] / result_df['数量'].sum()).apply(lambda x: f"{x:.2%}")
total_row = pd.DataFrame({
group_col: ['总计'],
…Read the whole file at its exact version.
How to install
mdr add opensensenova/sensenova-skills/dynamic-large-file-parquet-analysis@sha256:2bdd1b0594718206The line at the top of this page pins the label git:20260426.f0ab496, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_iwykda6ksnupgawo)
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Versions
The registry has recorded 1 version of this file, committed on Apr 26, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (2298 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
opensensenova/sensenova-skills · 6,031 stars · license MIT · pushed 2026-11-03 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_iwykda6ksnupgawo GET https://markdownregistry.com/api/v1/resolve?ref=opensensenova/sensenova-skills/dynamic-large-file-parquet-analysis GET https://markdownregistry.com/api/v1/blob/2bdd1b059471820644ccc67b88126510db7796db7fdc936204fbf7f9a33bf913
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