danfojs-node
Version:
JavaScript library providing high performance, intuitive, and easy to use data structures for manipulating and processing structured data.
91 lines (89 loc) • 4.24 kB
JavaScript
;
var __extends = (this && this.__extends) || (function () {
var extendStatics = function (d, b) {
extendStatics = Object.setPrototypeOf ||
({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||
function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };
return extendStatics(d, b);
};
return function (d, b) {
if (typeof b !== "function" && b !== null)
throw new TypeError("Class extends value " + String(b) + " is not a constructor or null");
extendStatics(d, b);
function __() { this.constructor = d; }
d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());
};
})();
var __importDefault = (this && this.__importDefault) || function (mod) {
return (mod && mod.__esModule) ? mod : { "default": mod };
};
Object.defineProperty(exports, "__esModule", { value: true });
/**
* @license
* Copyright 2022 JsData. All rights reserved.
*
* This source code is licensed under the MIT license found in the
* LICENSE file in the root directory of this source tree.
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
* ==========================================================================
*/
var frame_1 = __importDefault(require("../../../danfojs-base/core/frame"));
var node_1 = require("../../../danfojs-base/io/node");
/**
* Two-dimensional ndarray with axis labels.
* The object supports both integer- and label-based indexing and provides a host of methods for performing operations involving the index.
* Operations between DataFrame (+, -, /, , *) align values based on their associated index values– they need not be the same length.
* @param data 2D Array, JSON, Tensor, Block of data.
* @param options.index Array of numeric or string names for subseting array. If not specified, indices are auto generated.
* @param options.columns Array of column names. If not specified, column names are auto generated.
* @param options.dtypes Array of data types for each the column. If not specified, dtypes are/is inferred.
* @param options.config General configuration object for extending or setting NDframe behavior.
*/
var DataFrame = /** @class */ (function (_super) {
__extends(DataFrame, _super);
function DataFrame(data, options) {
if (options === void 0) { options = {}; }
return _super.call(this, data, options) || this;
}
DataFrame.prototype.toCSV = function (options) {
return (0, node_1.toCSVNode)(this, options);
};
DataFrame.prototype.toJSON = function (options) {
return (0, node_1.toJSONNode)(this, options);
};
/**
* Converts a DataFrame to Excel file format.
* @param options Configuration object. Supported options:
* - `sheetName`: The sheet name to be written to. Defaults to `'Sheet1'`.
* - `filePath`: The filePath to be written to. Defaults to `'./output.xlsx'`. Option is only available in NodeJs
* - `fileName`: The fileName to be written to. Defaults to `'output.xlsx'`. Option is only available in Browser
*
* @example
* ```
* const df = new DataFrame([[1, 2], [3, 4]], { columns: ['A', 'B']})
* df.toExcel({ filePath: './output.xlsx' }) // writes to local file system as output.xlsx in NodeJS
* ```
*
* @example
* ```
* const df = new DataFrame([[1, 2], [3, 4]], { columns: ['A', 'B']})
* df.toExcel({ fileName: 'output.xlsx', download: true }) // downloads file browser
* ```
*
* @example
* ```
* const df = new DataFrame([[1, 2], [3, 4]], { columns: ['A', 'B']})
* df.toExcel({ sheetName: 'Sheet2' }) // writes to Sheet2 in Excel
* ```
*
*/
DataFrame.prototype.toExcel = function (options) {
return (0, node_1.toExcelNode)(this, options);
};
return DataFrame;
}(frame_1.default));
exports.default = DataFrame;