[Docs] Improve visibility of table ops (#553)

A little verbose, but better than being non-discoverable 
![Screenshot from 2023-10-11
16-26-02](https://github.com/lancedb/lancedb/assets/15766192/9ba539a7-0cf8-4d9e-94e7-ce5d37c35df0)
This commit is contained in:
Ayush Chaurasia
2024-04-05 16:22:59 -07:00
committed by Weston Pace
parent 8469d010f8
commit 541b06664f
2 changed files with 45 additions and 2 deletions
+42
View File
@@ -364,6 +364,48 @@ Use the `delete()` method on tables to delete rows from a table. To choose which
await tbl.countRows() // Returns 1
```
### Updating a Table [Experimental]
EXPERIMENTAL: Update rows in the table (not threadsafe).
This can be used to update zero to all rows depending on how many rows match the where clause.
| Parameter | Type | Description |
|---|---|---|
| `where` | `str` | The SQL where clause to use when updating rows. For example, `'x = 2'` or `'x IN (1, 2, 3)'`. The filter must not be empty, or it will error. |
| `values` | `dict` | The values to update. The keys are the column names and the values are the values to set. |
=== "Python"
```python
import lancedb
import pandas as pd
# Create a lancedb connection
db = lancedb.connect("./.lancedb")
# Create a table from a pandas DataFrame
data = pd.DataFrame({"x": [1, 2, 3], "vector": [[1, 2], [3, 4], [5, 6]]})
table = db.create_table("my_table", data)
# Update the table where x = 2
table.update(where="x = 2", values={"vector": [10, 10]})
# Get the updated table as a pandas DataFrame
df = table.to_pandas()
# Print the DataFrame
print(df)
```
Output
```shell
x vector
0 1 [1.0, 2.0]
1 3 [5.0, 6.0]
2 2 [10.0, 10.0]
```
## What's Next?
Learn how to Query your tables and create indices