Meridian 支持各种数据类型和数据格式。
支持的数据类型包括：
支持的数据格式包括：
- 英文逗号分隔值 (CSV)
- Xarray 数据集
- Numpy 多维数组
- Pandas DataFrame
- 可转换为 Pandas DataFrame 的其他格式
支持的数据类型和格式
如未另行说明，那么本页面中的内容已根据知识共享署名 4.0 许可获得了许可，并且代码示例已根据 Apache 2.0 许可获得了许可。有关详情，请参阅 Google 开发者网站政策。Java 是 Oracle 和/或其关联公司的注册商标。
最后更新时间 (UTC)：2025-08-04。
[null,null,["最后更新时间 (UTC)：2025-08-04。"],[[["\u003cp\u003eMeridian is compatible with multiple data types, including geo-level data with or without reach and frequency, as well as national-level data.\u003c/p\u003e\n"],["\u003cp\u003eGeo-level data can incorporate organic media and non-media treatments in Meridian.\u003c/p\u003e\n"],["\u003cp\u003eMeridian accepts data in CSV format, Xarray Dataset, and other formats transformable into Pandas DataFrame.\u003c/p\u003e\n"]]],["Meridian handles several data types: geo-level data (with or without reach and frequency, or with organic media/non-media treatments) and national-level data. Accepted data formats include comma-separated values (CSV), Xarray Dataset, and any format convertible to a Pandas DataFrame. These diverse types and formats allow for flexible data input into the Meridian system.\n"],null,["# Supported data types and formats\n\nMeridian supports a variety of data types and formats.\n\nThe supported data types are:\n\n- [Geo-level data without reach and frequency](/meridian/docs/user-guide/load-geo-data-without-rf)\n- [Geo-level data with reach and frequency](/meridian/docs/user-guide/load-geo-data-with-rf)\n- [Geo-level data with organic media and non-media treatments](/meridian/docs/user-guide/load-geo-data-with-organic-and-non-media)\n- [National-level data](/meridian/docs/user-guide/load-national-data)\n\nThe supported data formats are:\n\n- Comma-separated values (CSV)\n- Xarray Dataset\n- Numpy nd-arrays\n- Pandas DataFrames\n- Other formats transformable to Pandas DataFrame"]]