我试图显示每月//...
// create a promise with the search in the page
searchElement(selector) => new Promise( function (resolve, reject){
try{
var elemAwait = await page.$eval(selector, el => el);
resolve(selector,elemAwait);
}catch{
reject(selector,"Element doesn't exist");
}
});
// now, search element in the headless page
searchElement('#security')
.then(function(selector,el){
// element is here
prompt.get(schema, function (err, result) {
console.log(selector+' is here with value:' + el.value);
});
})
.catch(function(selector,msg){
// element isn't here
prompt.get(schema, function (err, result) {
console.log(selector+" - "+msg);
});
});
的前三个值。我尝试使用using System;
using System.Collections.Generic;
using System.ComponentModel;
using System.Data;
using System.Diagnostics;
using System.Drawing;
using System.IO;
using System.Linq;
using System.Text;
using System.Threading.Tasks;
using System.Windows.Forms;
namespace cmd_commands
{
public partial class Form1 : Form
{
string[] commands = new string[] {
@"test",
@"test1",
@"test2" };
int command = 0;
public Form1()
{
InitializeComponent();
}
public void runCmd(string command)
{
ProcessStartInfo cmdsi = new ProcessStartInfo("cmd.exe");
cmdsi.Arguments = command;
Process cmd = Process.Start(cmdsi);
cmd.WaitForExit();
}
private void Form1_Load(object sender, EventArgs e)
{
}
private void backgroundWorker1_DoWork(object sender, DoWorkEventArgs e)
{
runCmd(commands[command]);
backgroundWorker1.ReportProgress(0, command);
}
private void button1_Click(object sender, EventArgs e)
{
backgroundWorker1.RunWorkerAsync();
}
private void backgroundWorker1_ProgressChanged(object sender, ProgressChangedEventArgs e)
{
label1.Text = "Working on command number: " + e.UserState.ToString();
}
private void backgroundWorker1_RunWorkerCompleted(object sender, RunWorkerCompletedEventArgs e)
{
command++;
runCmd(commands[command]);
}
}
}
但是到目前为止还没有这样做。
原始数据：
nc_type转换为：
n_largest转化数据：
area nc_type occurred_date
0 Filling x 12/23/2015 0:00
1 Filling f 12/22/2015 0:00
2 Filling s 9/11/2015 0:00
3 Filling f 2/17/2016 0:00
4 Filling s 5/3/2016 0:00
5 Filling g 8/29/2016 0:00
6 Filling f 9/9/2016 0:00
7 Filling a 6/1/2016 0:00
答案 0 :(得分：1)
情景1
MultiIndex系列
occurred_date nc_type
1.0 x 3
y 4
z 13
w 24
f 34
12.0 d 18
g 10
w 44
a 27
g 42
Name: test, dtype: int64
致电sort_values + groupby + head：
df.sort_values(ascending=False).groupby(level=0).head(2)
occurred_date nc_type
12.0 w 44
g 42
1.0 f 34
w 24
Name: test, dtype: int64
根据您的情况将head(2)更改为head(5)。
或者，使用nlargest扩展我的comment，您可以：
df.groupby(level=0).nlargest(2).reset_index(level=0, drop=1)
occurred_date nc_type
1.0 f 34
w 24
12.0 w 44
g 42
Name: test, dtype: int64
情景2
3-col dataframe
occurred_date nc_type value
0 1.0 x 3
1 1.0 y 4
2 1.0 z 13
3 1.0 w 24
4 1.0 f 34
5 12.0 d 18
6 12.0 g 10
7 12.0 w 44
8 12.0 a 27
9 12.0 g 42
您可以使用sort_values + groupby + head：
df.sort_values(['occurred_date', 'value'],
ascending=[True, False]).groupby('occurred_date').head(2)
occurred_date nc_type value
4 1.0 f 34
3 1.0 w 24
7 12.0 w 44
9 12.0 g 42
为您的方案将head(2)更改为head(5)。
情景3
MultiIndex Dataframe
test
occurred_date nc_type
1.0 x 3
y 4
z 13
w 24
f 34
12.0 d 18
g 10
w 44
a 27
g 42
或者nlargest。
df.groupby(level=0).test.nlargest(2)\
.reset_index(level=0, drop=1)
occurred_date nc_type
1.0 f 34
w 24
12.0 w 44
g 42
Name: test, dtype: int64
答案 1 :(得分：1)
我要加group_keys=False
df.groupby('occurred_date', group_keys=False).nlargest(3)
occurred_date nc_type
1.0 f 34
w 24
z 13
12.0 w 44
g 42
a 27
Name: value, dtype: int64