我对Python和Pandas还是很陌生,想看看使用pandas是否可行。我已经在线阅读了最好的方法是使用idxmax。
我正在尝试做的事情:
搜索一个名为“ Sample”的Excel文件-检查“ Difference”列,找到最大值->抓住“ Metric”名称,并显示到记事本文件/浏览器中。下面是参考图片。
这是我在网上看到的一小段代码,对于执行此操作的任何帮助将不胜感激。
代码:
metric_column = Metric[:,1].astype(int)
metric = metric_column[np.argmax(Difference)]
答案 0 :(得分:3)
这应该做到
private void copyAssets() {
AssetManager assetManager = getAssets();
String[] files = null;
try {
files = assetManager.list("MyFolder");
} catch (IOException e) {
Log.e("tag", "Failed to get asset file list.", e);
}
if (files != null) for (String filename : files) {
InputStream in = null;
OutputStream out = null;
try {
in = assetManager.open("MyFolder/"+filename);
File outFile = new File(getExternalFilesDir(null), filename);
if (!(outFile.exists())) {// File does not exist...
out = new FileOutputStream(outFile);
copyFile(in, out);
}
} catch(IOException e) {
Log.e("tag", "Failed to copy asset file: " + filename, e);
}
finally {
if (in != null) {
try {
in.close();
} catch (IOException e) {
// NOOP
}
}
if (out != null) {
try {
out.close();
} catch (IOException e) {
// NOOP
}
}
}
}
}
private void copyFile(InputStream in, OutputStream out) throws IOException {
byte[] buffer = new byte[1024];
int read;
while((read = in.read(buffer)) != -1){
out.write(buffer, 0, read);
}
}