danfojs-node
Version:
JavaScript library providing high performance, intuitive, and easy to use data structures for manipulating and processing structured data.
177 lines (176 loc) • 8.59 kB
JavaScript
;
var __assign = (this && this.__assign) || function () {
__assign = Object.assign || function(t) {
for (var s, i = 1, n = arguments.length; i < n; i++) {
s = arguments[i];
for (var p in s) if (Object.prototype.hasOwnProperty.call(s, p))
t[p] = s[p];
}
return t;
};
return __assign.apply(this, arguments);
};
var __awaiter = (this && this.__awaiter) || function (thisArg, _arguments, P, generator) {
function adopt(value) { return value instanceof P ? value : new P(function (resolve) { resolve(value); }); }
return new (P || (P = Promise))(function (resolve, reject) {
function fulfilled(value) { try { step(generator.next(value)); } catch (e) { reject(e); } }
function rejected(value) { try { step(generator["throw"](value)); } catch (e) { reject(e); } }
function step(result) { result.done ? resolve(result.value) : adopt(result.value).then(fulfilled, rejected); }
step((generator = generator.apply(thisArg, _arguments || [])).next());
});
};
var __generator = (this && this.__generator) || function (thisArg, body) {
var _ = { label: 0, sent: function() { if (t[0] & 1) throw t[1]; return t[1]; }, trys: [], ops: [] }, f, y, t, g;
return g = { next: verb(0), "throw": verb(1), "return": verb(2) }, typeof Symbol === "function" && (g[Symbol.iterator] = function() { return this; }), g;
function verb(n) { return function (v) { return step([n, v]); }; }
function step(op) {
if (f) throw new TypeError("Generator is already executing.");
while (_) try {
if (f = 1, y && (t = op[0] & 2 ? y["return"] : op[0] ? y["throw"] || ((t = y["return"]) && t.call(y), 0) : y.next) && !(t = t.call(y, op[1])).done) return t;
if (y = 0, t) op = [op[0] & 2, t.value];
switch (op[0]) {
case 0: case 1: t = op; break;
case 4: _.label++; return { value: op[1], done: false };
case 5: _.label++; y = op[1]; op = [0]; continue;
case 7: op = _.ops.pop(); _.trys.pop(); continue;
default:
if (!(t = _.trys, t = t.length > 0 && t[t.length - 1]) && (op[0] === 6 || op[0] === 2)) { _ = 0; continue; }
if (op[0] === 3 && (!t || (op[1] > t[0] && op[1] < t[3]))) { _.label = op[1]; break; }
if (op[0] === 6 && _.label < t[1]) { _.label = t[1]; t = op; break; }
if (t && _.label < t[2]) { _.label = t[2]; _.ops.push(op); break; }
if (t[2]) _.ops.pop();
_.trys.pop(); continue;
}
op = body.call(thisArg, _);
} catch (e) { op = [6, e]; y = 0; } finally { f = t = 0; }
if (op[0] & 5) throw op[1]; return { value: op[0] ? op[1] : void 0, done: true };
}
};
var __spreadArray = (this && this.__spreadArray) || function (to, from, pack) {
if (pack || arguments.length === 2) for (var i = 0, l = from.length, ar; i < l; i++) {
if (ar || !(i in from)) {
if (!ar) ar = Array.prototype.slice.call(from, 0, i);
ar[i] = from[i];
}
}
return to.concat(ar || Array.prototype.slice.call(from));
};
var __importDefault = (this && this.__importDefault) || function (mod) {
return (mod && mod.__esModule) ? mod : { "default": mod };
};
Object.defineProperty(exports, "__esModule", { value: true });
exports.$toExcel = exports.$readExcel = void 0;
var __1 = require("../../");
var node_fetch_1 = __importDefault(require("node-fetch"));
var xlsx_1 = require("xlsx");
var fs_1 = __importDefault(require("fs"));
/**
* Reads a JSON file from local or remote location into a DataFrame.
* @param filePath URL or local file path to JSON file.
* @param options Configuration object. Supported options:
* - `method`: The HTTP method to use. Defaults to `'GET'`.
* - `headers`: Additional headers to send with the request. Supports the `node-fetch` [HeadersInit]
* @example
* ```
* import { readExcel } from "danfojs-node"
* const df = await readExcel("https://raw.githubusercontent.com/test.xlsx")
* ```
* @example
* ```
* import { readExcel } from "danfojs-node"
* const df = await readExcel("https://raw.githubusercontent.com/test.xlsx", {
* method: "GET",
* headers: {
* Accept: "text/csv",
* Authorization: "Bearer YWRtaW46YWRtaW4="
* }
* })
* ```
* @example
* ```
* import { readExcel } from "danfojs-node"
* const df = await readExcel("./data/sample.xlsx")
* ```
*/
var $readExcel = function (filePath, options) {
if (options === void 0) { options = {}; }
return __awaiter(void 0, void 0, void 0, function () {
var _a, sheet, method, headers, frameConfig, parsingOptions;
return __generator(this, function (_b) {
_a = __assign({ sheet: 0, method: "GET", headers: {}, frameConfig: {}, parsingOptions: {} }, options), sheet = _a.sheet, method = _a.method, headers = _a.headers, frameConfig = _a.frameConfig, parsingOptions = _a.parsingOptions;
if (filePath.startsWith("http") || filePath.startsWith("https")) {
return [2 /*return*/, new Promise(function (resolve, reject) {
(0, node_fetch_1.default)(filePath, { method: method, headers: headers }).then(function (response) {
if (response.status !== 200) {
throw new Error("Failed to load " + filePath);
}
response.arrayBuffer().then(function (arrBuf) {
var arrBufInt8 = new Uint8Array(arrBuf);
var workbook = (0, xlsx_1.read)(arrBufInt8, __assign({ type: "array" }, parsingOptions));
var worksheet = workbook.Sheets[workbook.SheetNames[sheet]];
var data = xlsx_1.utils.sheet_to_json(worksheet, { defval: null });
var df = new __1.DataFrame(data, frameConfig);
resolve(df);
});
}).catch(function (err) {
reject(err);
});
})];
}
else {
return [2 /*return*/, new Promise(function (resolve, reject) {
fs_1.default.access(filePath, fs_1.default.constants.F_OK, function (err) {
if (err) {
reject("ENOENT: no such file or directory");
}
var workbook = (0, xlsx_1.readFile)(filePath, parsingOptions);
var worksheet = workbook.Sheets[workbook.SheetNames[sheet]];
var data = xlsx_1.utils.sheet_to_json(worksheet, { defval: null });
var df = new __1.DataFrame(data, frameConfig);
resolve(df);
});
})];
}
return [2 /*return*/];
});
});
};
exports.$readExcel = $readExcel;
/**
* Converts a DataFrame or Series to Excel Sheet.
* @param df DataFrame or Series to be converted to JSON.
* @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'`.
* @example
* ```
* import { toExcel } from "danfojs-node"
* const df = new DataFrame([[1, 2, 3], [4, 5, 6]])
* toExcel(df, {
* filePath: "./data/sample.xlsx",
* sheetName: "MySheet",
* })
* ```
*/
var $toExcel = function (df, options) {
var _a = __assign({ filePath: "./output.xlsx", sheetName: "Sheet1" }, options), filePath = _a.filePath, sheetName = _a.sheetName, writingOptions = _a.writingOptions;
if (!(filePath.endsWith(".xlsx"))) {
filePath = filePath + ".xlsx";
}
var data;
if (df.$isSeries) {
var row = df.values;
var col = df.columns;
data = __spreadArray([col], (row.map(function (x) { return [x]; })), true);
}
else {
var row = df.values;
var cols = df.columns;
data = __spreadArray([cols], row, true);
}
var worksheet = xlsx_1.utils.aoa_to_sheet(data);
var wb = xlsx_1.utils.book_new();
xlsx_1.utils.book_append_sheet(wb, worksheet, sheetName);
(0, xlsx_1.writeFile)(wb, "" + filePath, writingOptions);
};
exports.$toExcel = $toExcel;