--- a/demo/src/main/java/com/google/android/exoplayer/demo/SampleChooserActivity.java
+++ b/demo/src/main/java/com/google/android/exoplayer/demo/SampleChooserActivity.java
@@ -30,6 +28,8 @@ import android.widget.ExpandableListView;
import android.widget.ExpandableListView.OnChildClickListener;
import android.widget.TextView;
import java.util.ArrayList;
import java.util.Collections;
import java.util.List;
@@ -44,7 +44,12 @@ public class SampleChooserActivity extends Activity {
super.onCreate(savedInstanceState);
setContentView(R.layout.sample_chooser_activity);
final List<SampleGroup> sampleGroups = new ArrayList<>();
- SampleGroup group = new SampleGroup("YouTube DASH");
+
+ SampleGroup group = new SampleGroup("test videos");
+ group.addAll(Samples.LOCAL_VIDEOS);
+ sampleGroups.add(group);
+
+ group = new SampleGroup("YouTube DASH");
group.addAll(Samples.YOUTUBE_DASH_MP4);
group.addAll(Samples.YOUTUBE_DASH_WEBM);
sampleGroups.add(group);
diff --git a/demo/src/main/java/com/google/android/exoplayer/demo/Samples.java b/demo/src/main/java/com/google/android/exoplayer/demo/Samples.java
index 9f58528..9e86f99 100644
--- a/demo/src/main/java/com/google/android/exoplayer/demo/Samples.java
+++ b/demo/src/main/java/com/google/android/exoplayer/demo/Samples.java
@@ -248,6 +248,13 @@ import java.util.Locale;
"http://vod.leasewebcdn.com/bbb.flv?ri=1024&rs=150&start=0", Util.TYPE_OTHER),
};
+ public static final Sample[] LOCAL_VIDEOS = new Sample[] {
+ new Sample("Some User friendly name of video 1",
+ "file:///mnt/sdcard/test1.mp4", Util.TYPE_OTHER),
+ new Sample("Some User friendly name of video 2",
+ "file:///mnt/sdcard/test2.mp4", Util.TYPE_OTHER),
+ };
+
private Samples() {}
}
这种行为对我来说相当令人惊讶,因为我期待第二个输出就像
data = [['g1','a',1],['g1','b',2],['g2','b',3],['g2','a',4]]
df = pandas.DataFrame(data=data, columns=['group','name','count'])
print df.set_index(['group','name'])
print df.set_index(['name','group'])
count
group name
g1 a 1
b 2
g2 b 3
a 4
count
name group
a g1 1
b g1 2
g2 3
a g2 4
答案 0 :(得分:7)
首先需要对DataFrame进行排序以获得所需的输出:
In [12]: df.sort_values('name').set_index(['name','group'])
Out[12]:
count
name group
a g1 1
g2 4
b g1 2
g2 3