对于使用Kotlin的人:

val Int.toPx: Int
    get() = (this * Resources.getSystem().displayMetrics.density).toInt()

val Int.toDp: Int
    get() = (this / Resources.getSystem().displayMetrics.density).toInt()

用法:

64.toPx
32.toDp

更优雅的方法是使用kotlin的扩展函数

/**
 * Converts dp to pixel
 */
val Int.dpToPx: Int get() = (this * Resources.getSystem().displayMetrics.density).toInt()

/**
 * Converts pixel to dp
 */
val Int.pxToDp: Int get() = (this / Resources.getSystem().displayMetrics.density).toInt()

用法:

println("16 dp in pixel: ${16.dpToPx}")
println("16 px in dp: ${16.pxToDp}")

这适用于我(c#):

int pixels = (int)((dp) * Resources.System.DisplayMetrics.Density + 0.5f);

因此，您可以使用以下公式从dp中指定的维度计算正确的像素数量

public int convertToPx(int dp) {
    // Get the screen's density scale
    final float scale = getResources().getDisplayMetrics().density;
    // Convert the dps to pixels, based on density scale
    return (int) (dp * scale + 0.5f);
}

/**
 * This method converts dp unit to equivalent pixels, depending on device density. 
 * 
 * @param dp A value in dp (density independent pixels) unit. Which we need to convert into pixels
 * @param context Context to get resources and device specific display metrics
 * @return A float value to represent px equivalent to dp depending on device density
 */
public static float convertDpToPixel(float dp, Context context){
    return dp * ((float) context.getResources().getDisplayMetrics().densityDpi / DisplayMetrics.DENSITY_DEFAULT);
}

/**
 * This method converts device specific pixels to density independent pixels.
 * 
 * @param px A value in px (pixels) unit. Which we need to convert into db
 * @param context Context to get resources and device specific display metrics
 * @return A float value to represent dp equivalent to px value
 */
public static float convertPixelsToDp(float px, Context context){
    return px / ((float) context.getResources().getDisplayMetrics().densityDpi / DisplayMetrics.DENSITY_DEFAULT);
}

float density = context.getResources().getDisplayMetrics().density;
float px = someDpValue * density;
float dp = somePxValue / density;

密度=

.75在ldpi (120 dpi) 1.0对mdpi (160 dpi;基线) 1.5在hdpi (240 dpi) 2.0 on xhdpi (320 dpi) 3.0 on xxhdpi (480 dpi) 4.0在xxxhdpi (640 dpi)

使用这个在线转换器来处理dpi值。

编辑: dpi桶与密度之间似乎不是1:1的关系。看起来Nexus 5X是xxhdpi的密度值是2.625(而不是3)。你可以在设备指标中自己查看。