- Mastering Java for Data Science
- Alexey Grigorev
- 317字
- 2021-07-02 23:44:34
Reading input data
Being able to read data is the most important skill for a data scientist, and this data is usually in text format, be it TXT, CSV, or any other format. In Java I/O API, the subclasses of the Reader classes deal with reading text files.
Suppose we have a text.txt file with some sentences (which may or may not make sense):
- My dog also likes eating sausage
- The motor accepts beside a surplus
- Every capable slash succeeds with a worldwide blame
- The continued task coughs around the guilty kiss
If you need to read the whole file as a list of strings, the usual Java I/O way of doing this is using BufferedReader:
List<String> lines = new ArrayList<>();
try (InputStream is = new FileInputStream("data/text.txt")) {
try (InputStreamReader isReader = new InputStreamReader(is,
StandardCharsets.UTF_8)) {
try (BufferedReader reader = new BufferedReader(isReader)) {
while (true) {
String line = reader.readLine();
if (line == null) {
break;
}
lines.add(line);
}
isReader.close();
}
}
}
It is important to provide character encoding--this way, the Reader knows how to translate the sequence of bytes into a proper String object. Apart from UTF-8, there are UTF-16, ISO-8859 (which is ASCII-based text encoding for English), and many others.
There is a shortcut to get BufferedReader for a file directly:
Path path = Paths.get("data/text.txt");
try (BufferedReader reader = Files.newBufferedReader(path,
StandardCharsets.UTF_8)) {
// read line-by-line
}
Even with this shortcut, you can see that this is quite verbose for such a simple task as reading a list of lines from a file. You can wrap this in a helper function, or instead use the Java NIO API, which gives some helper methods to make this task easier:
Path path = Paths.get("data/text.txt");
List<String> lines = Files.readAllLines(path, StandardCharsets.UTF_8);
System.out.println(lines);
The Java NIO shortcuts work only for files. Later, we will talk about shortcuts that work for any InputStream objects, not just files.
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