我有一系列数字，我想知道数据帧的每个桶中有多少数字。
df['cuts']的值为10,20和50。具体来说，我想series bin中[0-10], (10-20] and (20-50]％的百分比，这应该附加到df数据框。
我写了以下代码。我绝对觉得它可以是即兴的。任何帮助表示赞赏。
bin_cuts = [-1] + list(df['cuts'].values)
out = pd.cut(series, bins = bin_cuts)
df_pct_bins = pd.value_counts(out, normalize= True).reset_index()
df_pct_bins = pd.concat([df_pct_bins['index'].str.split(', ', expand = True), df_pct_bins['cuts']], axis = 1)
df_pct_bins[1] = df_pct_bins[1].str[:-1].astype(str)
df['cuts'] = df['cuts'].astype(str)
df_pct_bins = pd.merge(df, df_pct_bins, left_on= 'cuts', right_on= 1)
答案 0 :(得分：1)
考虑示例数据package com.example.marcusgrant.test12345;
import android.os.Bundle;
import android.support.annotation.Nullable;
import android.support.v7.app.AlertDialog;
import android.support.v7.app.AppCompatActivity;
import android.view.View;
import android.widget.Button;
import android.widget.EditText;
import android.widget.ImageView;
import android.widget.Toast;
public class Console_Activity extends AppCompatActivity {
@Override
protected void onCreate(@Nullable Bundle savedInstanceState) {
super.onCreate(savedInstanceState);
setContentView(R.layout.console_login);
final ImageView xShowDialog = (ImageView) findViewById(R.id.XboxImBtn);
ImageView pShowDialog = (ImageView) findViewById(R.id.PsnImBtn);
xShowDialog.setOnClickListener(new View.OnClickListener() {
@Override
public void onClick(View v) {
AlertDialog.Builder mBuilder = new AlertDialog.Builder(Console_Activity.this);
View mView = getLayoutInflater(). inflate(R.layout.xdialog_signin, null);
final EditText XEmail = (EditText) mView.findViewById(R.id.etEmail);
final EditText Xpassword = (EditText) mView.findViewById(R.id.etPassword);
Button XLogbtn = (Button) mView.findViewById(R.id.Logbtn);
Button XNtnbtn = (Button) mView.findViewById(R.id.ntnbtn);
XLogbtn.setOnClickListener(new View.OnClickListener() {
@Override
public void onClick(View v) {
if(!XEmail.getText().toString().isEmpty() && !Xpassword.getText().toString().isEmpty())
{
Toast.makeText(Console_Activity.this, R.string.successful_login, Toast.LENGTH_SHORT).show();
xShowDialog.setImageResource(R.drawable.xboxbuttongreen);
//cannot resolve symbol 'alertdialog'
dialog.dismiss();
}
else
{
Toast.makeText(Console_Activity.this, R.string.error_login_message, Toast.LENGTH_SHORT).show();
}
}
});
XNtnbtn.setOnClickListener(new View.OnClickListener() {
@Override
public void onClick(View v) {
//cannot resolve symbol 'alertdialog'
alertDialog.dismiss();
}
});
mBuilder.setView(mView);
AlertDialog dialog = mBuilder.create();
dialog.show();
}
});
}
}
和df
s 选项1
df = pd.DataFrame(dict(cuts=[10, 20, 50]))
s = pd.Series(np.random.randint(50, size=1000))
np.searchsorted 选项2
c = df.cuts.values
df.assign(
pct=df.cuts.map(
pd.value_counts(
c[np.searchsorted(c, s)],
normalize=True
)))
cuts pct
0 10 0.216
1 20 0.206
2 50 0.578
pd.cut