Table::update and Table::remove

Once a Table has been created, it can be updated with new data conforming to the Table's schema. Table::update supports the same data formats as Client::table, minus schema.

const schema = {
    a: "integer",
    b: "float",
};

const table = await perspective.table(schema);
table.update(new_data);

schema = {"a": "integer", "b": "float"}

table = perspective.Table(schema)
table.update(new_data)

Without an index set, calls to update() append new data to the end of the Table. Otherwise, Perspective allows partial updates (in-place) using the index to determine which rows to update:

indexed_table.update({ id: [1, 4], name: ["x", "y"] });

indexed_table.update({"id": [1, 4], "name": ["x", "y"]})

Any value on a Client::table can be unset using the value null in JSON or Arrow input formats. Values may be unset on construction, as any null in the dataset will be treated as an unset value. Table::update calls do not need to provide all columns in the Table's schema; missing columns will be omitted from the Table's updated rows.

table.update([{ x: 3, y: null }]); // `z` missing

table.update([{"x": 3, "y": None}]) // `z` missing

Rows can also be removed from an indexed Table, by calling Table::remove with an array of index values:

indexed_table.remove([1, 4]);

// Python

indexed_table.remove([1, 4])