I am learning machine learning and data analysis on $query = "SELECT year, brand, model, class, stocknr, price, status, pic
FROM stock WHERE class = 'ldv' ORDER BY brand ASC";
$i = 0;
$result = mysqli_query($con,$query);
if (!$result) {
die("Connection Error: " . mysqli_connect_error());
}
while ($row = mysqli_fetch_array($result)) {
$title = $row['model'] ;
$uppic = $row['pic'];
$price = $row['price'];
$stock = $row['stocknr'];
if (($i == 1) or (($i - 1) % 4) == 0) {
echo '<tr>' . "\n";
}
echo "<td width=150 align=center>";
echo "<a href=../imagesize.php?scode=$uppic><img src='images/$uppic.jpg' border='0' alt='Item $title'></a>";
echo "<br><a href='details.php?stocknr=$stock'>
<span class=fs13>$title</span></a>";
echo "<br><a href='details.php?stocknr=$stock'>
<span class=sapri>$price</span></a>";
echo "</td>";
// for 5th, 10th, 15th etc record insert a tag for end of the row
if ((($i) % 5) == 0) {
echo '</tr>';
}
$i++;
}
// filling row with empty cells
while(($i - 1) % 5 != 0) {
echo '<td> </td>';
$i++;
// for 5th, 10th, 15th etc record insert a tag for end of the row
if (($i - 1) % 5 == 0) {
echo '</tr>';
}
}
echo '</table>';
files.
I know if I have public contactAPI(){
var uri = 'localhost:3000'; //Or whatever the link is for your node server
return this.http.get(uri);
}
files directly I can do something like this to read in the data
wavNow I'm given a gz-file wav
I'm not sure what to do now.
I tried:
import librosa
mono, fs = librosa.load('./small_data/time_series_audio.wav', sr = 44100)
but it gives me:
"music_feature_extraction_test.tar.gz"
Can anyone help me out?
答案 0 :(得分：2)
有几件事情在发生：
tarfile module，它可以直接读取gzip压缩文件。你会在它的成员上得到一个迭代器，每个成员都是一个单独的文件。librosa无法从内存缓冲区中读取，因此您必须将tar-members解包为临时文件。 tempfile - module是您的朋友，NamedTemporaryFile会为您提供一个自动删除的文件，您可以将其解压缩并提供给librosa。您可能希望将此实现为一个简单的生成器函数，它将tarfile-name作为其输入，迭代它的成员以及yield librosa.load()为您提供的内容。这样一切都会自动清理。
因此基本循环
tarfile - 模块打开tarball。对于每个成员NamedTemporaryFile获取新的临时文件。将tarball-member的内容复制到该文件。您可能希望使用shutil.copyfileobj以避免在将整个wav文件写入磁盘之前将其读入内存。NamedTemporaryFile具有文件名属性。将其传递给librosa.open。yield librosa.open对来电者的返回值。答案 1 :(得分：0)
您可以使用PySoundFile从压缩文件中读取。 https://pysoundfile.readthedocs.io/en/0.9.0/#virtual-io
import soundfile
with gzip.open('music_train.tar.gz', 'rb') as gz_f:
for file in gz_f :
fs, mono = soundfile.read(file, samplerate=44100)
也许您还应该在使用librosa处理数据之前检查是否需要重新采样数据： https://librosa.github.io/librosa/ioformats.html#read-specific-formats