本文介绍了Laravel:根据月份中的星期计算整数值的处理方法，对大家解决问题具有一定的参考价值，需要的朋友们下面随着小编来一起学习吧！
问题描述
我正在尝试从JSON计算整数值: https://pomber.github. io/covid19/timeseries.json 并达到了我的期望.
I'm trying to count integer value from JSON: https://pomber.github.io/covid19/timeseries.json and got what I expected.
{
"date": [
"22 Jan",
"23 Jan",
"24 Jan",
"25 Jan",
....
],
"total_confirmed": [
555,
653,
941,
1434,
....
],
"total_deaths": [
17,
18,
26,
42,
....
],
"total_recovered": [
28,
30,
36,
39,
....
],
"max_value_of_total_confirmed": 272166
}
这是我的控制器:
$client = new Client();$request = $client->get('https://pomber.github.io/covid19/timeseries.json');
$response = $request->getBody()->getContents();
$posts_dates = json_decode($response, true);
$confirmed_array = array();
$deaths_array = array();
$recovered_array = array();
if ( ! empty( $posts_dates ) ) {
foreach ( $posts_dates as $country => $data ) {
foreach ( $data as $dataKey => $dateData ) {
$date = new \DateTime( $dateData['date'] );
$day = $date->format( 'd M' );
if ( !isset($confirmed_array[$day]) ) {
$confirmed_array[$day] = 0;
}
$confirmed_array[$day] += $dateData['confirmed'];
}
foreach ( $data as $dataKey => $dateData ) {
$date = new \DateTime( $dateData['date'] );
$day = $date->format( 'd M' );
if ( !isset($deaths_array[$day]) ) {
$deaths_array[$day] = 0;
}
$deaths_array[$day] += $dateData['deaths'];
}
foreach ( $data as $dataKey => $dateData ) {
$date = new \DateTime( $dateData['date'] );
$day = $date->format( 'd M' );
if ( !isset($recovered_array[$day]) ) {
$recovered_array[$day] = 0;
}
$recovered_array[$day] += $dateData['recovered'];
}
}
}
$output = [
"date" => array_keys($confirmed_array),
"total_confirmed" => array_values($confirmed_array),
"total_deaths" => array_values($deaths_array),
"total_recovered" => array_values($recovered_array),
"max_value_of_total_confirmed" => max($confirmed_array)
];
return $output;
我要获取的不是按日期分组数据，而是按每月的一周(W3 Jan，W4 Jan，W1 Feb，W2 Feb等)进行分组.任何帮助将不胜感激:)
What I'm trying to get is grouping those data not by date, but by week of the month (W3 Jan, W4 Jan, W1 Feb, W2 Feb, etc). Any help would be appreciated :)
谢谢.
推荐答案
我建议使用 收藏 .您可以使用Laravel提供的方法轻松进行管理.
I would recommend using collection. You can easily manage using the methods provided by Laravel.
$client = new Client();
$request = $client->get('https://pomber.github.io/covid19/timeseries.json');
$response = $request->getBody()->getContents();
$posts_dates = json_decode($response, true);
/****** Here we go ******/
$posts_dates = collect($posts_dates)
->flatten(1)
->groupBy('date')
->map(function ($item, $key) {
$item = collect($item);
$date = \Carbon\Carbon::parse($key);
$key = 'W' . $date->weekOfMonth . $date->format(' M');
return [
'date' => $key,
'total_confirmed' => $item->sum('confirmed'),
'total_deaths' => $item->sum('deaths'),
'total_recovered' => $item->sum('recovered'),
];
})
->groupBy(function ($item, $key) {
return collect($item)->keys()->all();
})
->map(function ($item, $key) {
return $item->map(function ($item) use ($key) {
return $item[$key];
});
});
$posts_dates->put('max_value_of_total_confirmed', $posts_dates['total_confirmed']->max());
dd($posts_dates->toArray());
结果
array:5 [
"date" => array:59 [
0 => "W4 Jan"
1 => "W4 Jan"
2 => "W4 Jan"
3 => "W4 Jan"
4 => "W4 Jan"
5 => "W4 Jan"
6 => "W4 Jan"
7 => "W5 Jan"
8 => "W5 Jan"
9 => "W5 Jan"
10 => "W1 Feb"
11 => "W1 Feb"
12 => "W1 Feb"
13 => "W1 Feb"
14 => "W1 Feb"
15 => "W1 Feb"
16 => "W1 Feb"
17 => "W2 Feb"
18 => "W2 Feb"
19 => "W2 Feb"
20 => "W2 Feb"
21 => "W2 Feb"
22 => "W2 Feb"
23 => "W2 Feb"
24 => "W3 Feb"
25 => "W3 Feb"
26 => "W3 Feb"
27 => "W3 Feb"
28 => "W3 Feb"
29 => "W3 Feb"
30 => "W3 Feb"
31 => "W4 Feb"
32 => "W4 Feb"
33 => "W4 Feb"
34 => "W4 Feb"
35 => "W4 Feb"
36 => "W4 Feb"
37 => "W4 Feb"
38 => "W5 Feb"
39 => "W1 Mar"
40 => "W1 Mar"
41 => "W1 Mar"
42 => "W1 Mar"
43 => "W1 Mar"
44 => "W1 Mar"
45 => "W1 Mar"
46 => "W2 Mar"
47 => "W2 Mar"
48 => "W2 Mar"
49 => "W2 Mar"
50 => "W2 Mar"
51 => "W2 Mar"
52 => "W2 Mar"
53 => "W3 Mar"
54 => "W3 Mar"
55 => "W3 Mar"
56 => "W3 Mar"
57 => "W3 Mar"
58 => "W3 Mar"
]
"total_confirmed" => array:59 [
0 => 555
1 => 653
2 => 941
3 => 1434
4 => 2118
5 => 2927
6 => 5578
7 => 6166
8 => 8234
9 => 9927
10 => 12038
11 => 16787
12 => 19881
13 => 23892
14 => 27635
15 => 30817
16 => 34391
17 => 37120
18 => 40150
19 => 42762
20 => 44802
21 => 45221
22 => 60368
23 => 66885
24 => 69030
25 => 71224
26 => 73258
27 => 75136
28 => 75639
29 => 76197
30 => 76823
31 => 78579
32 => 78965
33 => 79568
34 => 80413
35 => 81395
36 => 82754
37 => 84120
38 => 86011
39 => 88369
40 => 90306
41 => 92840
42 => 95120
43 => 97882
44 => 101784
45 => 105821
46 => 109795
47 => 113561
48 => 118592
49 => 125865
50 => 128343
51 => 145193
52 => 156094
53 => 167446
54 => 181527
55 => 197142
56 => 214910
57 => 242708
58 => 272166
]
"total_deaths" => array:59 [
0 => 17
1 => 18
2 => 26
3 => 42
4 => 56
5 => 82
6 => 131
7 => 133
8 => 171
9 => 213
10 => 259
11 => 362
12 => 426
13 => 492
14 => 564
15 => 634
16 => 719
17 => 806
18 => 906
19 => 1013
20 => 1113
21 => 1118
22 => 1371
23 => 1523
24 => 1666
25 => 1770
26 => 1868
27 => 2007
28 => 2122
29 => 2247
30 => 2251
31 => 2458
32 => 2469
33 => 2629
34 => 2708
35 => 2770
36 => 2814
37 => 2872
38 => 2941
39 => 2996
40 => 3085
41 => 3160
42 => 3254
43 => 3348
44 => 3460
45 => 3558
46 => 3802
47 => 3988
48 => 4262
49 => 4615
50 => 4720
51 => 5404
52 => 5819
53 => 6440
54 => 7126
55 => 7905
56 => 8733
57 => 9867
58 => 11299
]
"total_recovered" => array:59 [
0 => 28
1 => 30
2 => 36
3 => 39
4 => 52
5 => 61
6 => 107
7 => 126
8 => 143
9 => 222
10 => 284
11 => 472
12 => 623
13 => 852
14 => 1124
15 => 1487
16 => 2011
17 => 2616
18 => 3244
19 => 3946
20 => 4683
21 => 5150
22 => 6295
23 => 8058
24 => 9395
25 => 10865
26 => 12583
27 => 14352
28 => 16121
29 => 18177
30 => 18890
31 => 22886
32 => 23394
33 => 25227
34 => 27905
35 => 30384
36 => 33277
37 => 36711
38 => 39782
39 => 42716
40 => 45602
41 => 48228
42 => 51170
43 => 53796
44 => 55865
45 => 58358
46 => 60694
47 => 62494
48 => 64404
49 => 67003
50 => 68324
51 => 70251
52 => 72624
53 => 76034
54 => 78088
55 => 80840
56 => 83207
57 => 84854
58 => 87256
]
"max_value_of_total_confirmed" => 272166
]
按周分组
$client = new Client();
$request = $client->get('https://pomber.github.io/covid19/timeseries.json');
$response = $request->getBody()->getContents();
$posts_dates = json_decode($response, true);
/****** Here we go ******/
$posts_dates = collect($posts_dates)
->flatten(1)
->map(function ($item) {
$date = \Carbon\Carbon::parse($item['date']);
$item['week'] = 'W' . $date->weekOfMonth . $date->format(' M');
return $item;
})
->groupBy('week')
->map(function ($item, $key) {
$item = collect($item);
return [
'date' => $key,
'total_confirmed' => $item->sum('confirmed'),
'total_deaths' => $item->sum('deaths'),
'total_recovered' => $item->sum('recovered'),
];
})
->groupBy(function ($item, $key) {
return collect($item)->keys()->all();
})
->map(function ($item, $key) {
return $item->map(function ($item) use ($key) {
return $item[$key];
});
});
$posts_dates->put('max_value_of_total_confirmed', $posts_dates['total_confirmed']->max());
dd($posts_dates->toArray());
结果
array:5 [
"date" => array:10 [
0 => "W4 Jan"
1 => "W5 Jan"
2 => "W1 Feb"
3 => "W2 Feb"
4 => "W3 Feb"
5 => "W4 Feb"
6 => "W5 Feb"
7 => "W1 Mar"
8 => "W2 Mar"
9 => "W3 Mar"
]
"total_confirmed" => array:10 [
0 => 14206
1 => 24327
2 => 165441
3 => 337308
4 => 517307
5 => 565794
6 => 86011
7 => 672122
8 => 897443
9 => 1275899
]
"total_deaths" => array:10 [
0 => 372
1 => 517
2 => 3456
3 => 7850
4 => 13931
5 => 18720
6 => 2941
7 => 22861
8 => 32610
9 => 51370
]
"total_recovered" => array:10 [
0 => 353
1 => 491
2 => 6853
3 => 33992
4 => 100383
5 => 199784
6 => 39782
7 => 355735
8 => 465794
9 => 490279
]
"max_value_of_total_confirmed" => 1275899
]
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