Laravel：根据一个月中的星期数计算整数值
Laravel: Count integer value based on week of the month
我正在尝试计算 JSON 中的整数值：https://pomber.github.io/covid19/timeseries.json 并得到了我预期的值。
{
"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;
我想要得到的是不是按日期，而是按月份的星期（1 月 3 日、1 月 4 日、2 月 1 日、2 月 2 日等）对这些数据进行分组。任何帮助将不胜感激:)
谢谢。
我建议使用 collection。您可以使用 Laravel.
提供的方法轻松管理
按天分组
$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)
->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
]
我正在尝试计算 JSON 中的整数值：https://pomber.github.io/covid19/timeseries.json 并得到了我预期的值。
{
"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;
我想要得到的是不是按日期，而是按月份的星期（1 月 3 日、1 月 4 日、2 月 1 日、2 月 2 日等）对这些数据进行分组。任何帮助将不胜感激:)
谢谢。
我建议使用 collection。您可以使用 Laravel.
提供的方法轻松管理按天分组
$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)
->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
]