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- Replace monolithic image_message_client with HTTP/OCR/legacy modules; tighten OpenAI transport + tool schemas for multimodal downgrade to OCR specialist path. - Add image/stock workspace prompts (META/SOUL/ROLE_SYSTEM); register experts; tweak specialist agent/direct loop/query_image_attachment. - Add bundled runtime/skills/tushare-finance (references, api_client, SKILL metadata). - Document OCR-related env vars; admin chat tweaks; README; weixin_install Ensure-OfficialPluginRuntimeDeps helper. - Tests: multimodal downgrade + OCR coverage, strict tool pairing in attachment replay guard, workspace contract skips _internal/_system dirs, router/trace/prompt guards. Co-authored-by: Cursor <cursoragent@cursor.com>
150 lines
3.2 KiB
Markdown
150 lines
3.2 KiB
Markdown
# 货币供应量（月）
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**文档ID**: 242
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**原始链接**: https://tushare.pro/document/2?doc_id=242
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---
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## 货币供应量
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接口：cn_m描述：获取货币供应量之月度数据限量：单次最大5000，一次可以提取全部数据权限：用户积累600积分可以使用，具体请参阅积分获取办法
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输入参数
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<table>
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<thead>
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<tr>
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<th>名称</th>
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<th>类型</th>
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<th>必选</th>
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<th>描述</th>
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</tr>
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</thead>
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<tbody><tr>
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<td>m</td>
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<td>str</td>
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<td>N</td>
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<td>月度（202001表示，2020年1月）</td>
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</tr>
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<tr>
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<td>start_m</td>
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<td>str</td>
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<td>N</td>
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<td>开始月度</td>
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</tr>
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<tr>
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<td>end_m</td>
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<td>str</td>
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<td>N</td>
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<td>结束月度</td>
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</tr>
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<tr>
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<td>fields</td>
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<td>str</td>
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<td>N</td>
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<td>指定输出字段（e.g. fields='month,m0,m1,m2'）</td>
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</tr>
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</tbody></table>
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输出参数
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<table>
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<thead>
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<tr>
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<th>名称</th>
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<th>类型</th>
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<th>默认显示</th>
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<th>描述</th>
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</tr>
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</thead>
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<tbody><tr>
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<td>month</td>
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<td>str</td>
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<td>Y</td>
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<td>月份YYYYMM</td>
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</tr>
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<tr>
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<td>m0</td>
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<td>float</td>
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<td>Y</td>
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<td>M0（亿元）</td>
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</tr>
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<tr>
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<td>m0_yoy</td>
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<td>float</td>
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<td>Y</td>
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<td>M0同比（%）</td>
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</tr>
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<tr>
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<td>m0_mom</td>
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<td>float</td>
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<td>Y</td>
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<td>M0环比（%）</td>
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</tr>
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<tr>
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<td>m1</td>
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<td>float</td>
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<td>Y</td>
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<td>M1（亿元）</td>
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</tr>
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<tr>
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<td>m1_yoy</td>
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<td>float</td>
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<td>Y</td>
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<td>M1同比（%）</td>
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</tr>
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<tr>
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<td>m1_mom</td>
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<td>float</td>
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<td>Y</td>
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<td>M1环比（%）</td>
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</tr>
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<tr>
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<td>m2</td>
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<td>float</td>
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<td>Y</td>
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<td>M2（亿元）</td>
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</tr>
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<tr>
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<td>m2_yoy</td>
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<td>float</td>
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<td>Y</td>
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<td>M2同比（%）</td>
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</tr>
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<tr>
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<td>m2_mom</td>
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<td>float</td>
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<td>Y</td>
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<td>M2环比（%）</td>
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</tr>
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</tbody></table>
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接口调用
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```
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pro = ts.pro_api()
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df = pro.cn_m(start_m='201901', end_m='202003')
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#获取指定字段
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df = pro.cn_m(start_m='201901', end_m='202003', fields='month,m0,m1,m2')
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```
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数据样例
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```
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month m0 m0_yoy m0_mom m1 m1_yoy m1_mom m2 m2_yoy m2_mom
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0 202003 83000.00 10.80 -5.90 575100.00 5.00 4.05 2080900.00 10.10 2.47
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1 202002 88200.00 10.90 -5.36 552700.00 4.80 1.32 2030800.00 8.80 0.38
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2 202001 93200.00 6.60 20.73 545500.00 0.00 -5.30 2023100.00 8.40 1.84
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3 201912 77200.00 5.40 4.36 576000.00 4.40 2.40 1986500.00 8.70 1.28
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4 201911 73973.82 4.80 0.79 562486.52 3.50 0.78 1961429.56 8.20 0.81
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5 201910 73395.40 4.70 -0.99 558143.92 3.30 0.18 1945600.55 8.40 -0.34
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6 201909 74129.75 4.00 1.34 557137.95 3.40 0.06 1952250.49 8.40 0.87
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7 201908 73152.62 4.80 0.64 556798.09 3.40 0.68 1935492.43 8.20 0.84
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8 201907 72689.25 4.50 0.15 553043.11 3.10 -2.58 1919410.82 8.10 -0.10
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9 201906 72580.96 4.30 -0.30 567696.18 4.40 4.29 1921360.19 8.50 1.60
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10 201905 72798.46 4.30 -1.58 544355.64 3.40 0.69 1891153.70 8.50 0.34
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11 201904 73965.76 3.50 -1.30 540614.60 2.90 -1.27 1884670.33 8.50 -0.25
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12 201903 74941.58 3.10 -5.72 547575.54 4.60 3.87 1889412.14 8.60 1.18
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13 201902 79484.72 -2.40 -9.13 527190.48 1.60 -3.38 1867427.45 8.00 0.08
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14 201901 87470.62 17.20 19.48 545638.46 0.40 -1.10 1865935.33 8.40 2.15
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```
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