From 1322e4a0d3ecf4a8191e57c7823610212e62d410 Mon Sep 17 00:00:00 2001 From: narawat Date: Mon, 9 Mar 2026 17:36:37 +0700 Subject: [PATCH] update --- README.md | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/README.md b/README.md index 427ec8b..1fdf508 100644 --- a/README.md +++ b/README.md @@ -342,7 +342,6 @@ env = NATSBridge.smartreceive( | `dictionary` | `Dict`, `NamedTuple` | `Object`, `Array` | `dict`, `list` | `dict` | JSON-serializable dictionaries | | `arrowtable` | `DataFrame`, `Arrow.Table` | `Array` | `pandas.DataFrame` | ❌ | Tabular data (Arrow IPC) | | `jsontable` | `Vector{NamedTuple}` | `Array` | `list[dict]` | ❌ | Tabular data (JSON) | -| `table` | ❌ | ❌ | `pandas.DataFrame` | ❌ | Python unified table type | | `image` | `Vector{UInt8}` | `Uint8Array`, `Buffer` | `bytes` | `bytearray` | Image data (PNG, JPG) | | `audio` | `Vector{UInt8}` | `Uint8Array`, `Buffer` | `bytes` | `bytearray` | Audio data (WAV, MP3) | | `video` | `Vector{UInt8}` | `Uint8Array`, `Buffer` | `bytes` | `bytearray` | Video data (MP4, AVI) | @@ -506,7 +505,7 @@ df = pd.DataFrame({ "score": [95, 88, 92] }) -data = [("students", df, "table")] +data = [("students", df, "arrowtable")] env, env_json_str = await NATSBridge.smartsend("/data/analysis", data) ```