csv to php - Select specific row based on the value of the first column

Question

I'm using an external .csv file to extrapolate some values in php and do calculations. My .csv is structured in the following way (this is a very simple example, my csv usually has 50/60 rows everyone with a different name):

Sales,10,24,56
Revenues,14,71,105

I would like to use a php instruction to select only the row named "Revenues" or only that named "Sales". Until now I've used a "for" loop but that is based only on a i++ variable.

$csv = str_getcsv(file_get_contents('csv/sample.csv'));    

for ($i = 12, $k=$i+11; $i < $k; $i++) {
            echo '<td>';
            echo number_format($csv[$i],0,'.',',');
            echo '</td>';
        }
echo '</tr>';

If "sales" and "revenues" have a different position I'm not able to call the right values.

UPDATE:

Here it is the print_r($csv)

Array
(
    [0] => USD in millions.
    [1] => 2005-09
    [2] => 2006-09
    [3] => 2007-09
    [4] => 2008-09
    [5] => 2009-09
    [6] => 2010-09
    [7] => 2011-09
    [8] => 2012-09
    [9] => 2013-09
    [10] => 2014-09
    [11] => TTM
Revenue
    [12] => 13931
    [13] => 19315
    [14] => 24006
    [15] => 32479
    [16] => 42905
    [17] => 65225
    [18] => 108249
    [19] => 156508
    [20] => 170910
    [21] => 182795
    [22] => 199800
Cost of revenue
    [23] => 9888
    [24] => 13717
    [25] => 15852
    [26] => 21334
    [27] => 25683
    [28] => 39541
    [29] => 64431
    [30] => 87846
    [31] => 106606
    [32] => 112258
    [33] => 121368
Gross profit
    [34] => 4043
    [35] => 5598
    [36] => 8154
    [37] => 11145
    [38] => 17222
    [39] => 25684
    [40] => 43818
    [41] => 68662
    [42] => 64304
    [43] => 70537
    [44] => 78432
Operating expenses
Research and development
    [45] => 534
    [46] => 712
    [47] => 782
    [48] => 1109
    [49] => 1333
    [50] => 1782
    [51] => 2429
    [52] => 3381
    [53] => 4475
    [54] => 6041
    [55] => 6606
Sales
    [56] =>  General and administrative
    [57] => 1859
    [58] => 2433
    [59] => 2963
    [60] => 3761
    [61] => 4149
    [62] => 5517
    [63] => 7599
    [64] => 10040
    [65] => 10830
    [66] => 11993
    [67] => 12540
Total operating expenses
    [68] => 2393
    [69] => 3145
    [70] => 3745
    [71] => 4870
    [72] => 5482
    [73] => 7299
    [74] => 10028
    [75] => 13421
    [76] => 15305
    [77] => 18034
    [78] => 19146
Operating income
    [79] => 1650
    [80] => 2453
    [81] => 4409
    [82] => 6275
    [83] => 11740
    [84] => 18385
    [85] => 33790
    [86] => 55241
    [87] => 48999
    [88] => 52503
    [89] => 59286
Interest Expense
    [90] => 
    [91] => 
    [92] => 
    [93] => 
    [94] => 
    [95] => 
    [96] => 
    [97] => 
    [98] => 136
    [99] => 384
    [100] => 431
Other income (expense)
    [101] => 165
    [102] => 365
    [103] => 599
    [104] => 620
    [105] => 326
    [106] => 155
    [107] => 415
    [108] => 522
    [109] => 1292
    [110] => 1364
    [111] => 1335
Income before taxes
    [112] => 1815
    [113] => 2818
    [114] => 5008
    [115] => 6895
    [116] => 12066
    [117] => 18540
    [118] => 34205
    [119] => 55763
    [120] => 50155
    [121] => 53483
    [122] => 60190
Provision for income taxes
    [123] => 480
    [124] => 829
    [125] => 1512
    [126] => 2061
    [127] => 3831
    [128] => 4527
    [129] => 8283
    [130] => 14030
    [131] => 13118
    [132] => 13973
    [133] => 15728
Net income from continuing operations
    [134] => 1335
    [135] => 1989
    [136] => 3496
    [137] => 4834
    [138] => 8235
    [139] => 14013
    [140] => 25922
    [141] => 41733
    [142] => 37037
    [143] => 39510
    [144] => 44462
Net income
    [145] => 1335
    [146] => 1989
    [147] => 3496
    [148] => 4834
    [149] => 8235
    [150] => 14013
    [151] => 25922
    [152] => 41733
    [153] => 37037
    [154] => 39510
    [155] => 44462
Net income available to common shareholders
    [156] => 1335
    [157] => 1989
    [158] => 3496
    [159] => 4834
    [160] => 8235
    [161] => 14013
    [162] => 25922
    [163] => 41733
    [164] => 37037
    [165] => 39510
    [166] => 44462
Earnings per share
Basic
    [167] => 0.24
    [168] => 0.34
    [169] => 0.58
    [170] => 0.78
    [171] => 1.32
    [172] => 2.20
    [173] => 4.01
    [174] => 6.38
    [175] => 5.72
    [176] => 6.49
    [177] => 7.44
Diluted
    [178] => 0.22
    [179] => 0.32
    [180] => 0.56
    [181] => 0.77
    [182] => 1.30
    [183] => 2.16
    [184] => 3.95
    [185] => 6.31
    [186] => 5.68
    [187] => 6.45
    [188] => 7.39
Weighted average shares outstanding
Basic
    [189] => 5659
    [190] => 5908
    [191] => 6052
    [192] => 6171
    [193] => 6251
    [194] => 6366
    [195] => 6470
    [196] => 6544
    [197] => 6477
    [198] => 6086
    [199] => 5978
Diluted
    [200] => 5997
    [201] => 6143
    [202] => 6225
    [203] => 6315
    [204] => 6349
    [205] => 6473
    [206] => 6557
    [207] => 6617
    [208] => 6522
    [209] => 6123
    [210] => 6016
EBITDA
    [211] => 1829
    [212] => 2678
    [213] => 4726
    [214] => 6748
    [215] => 12474
    [216] => 19412
    [217] => 35604
    [218] => 58518
    [219] => 57048
    [220] => 61813
    [221] => 68998
)

Answer 1

First use preg_grep & file with str_getcsv to solve your problem.

First $file = file('csv/sample.csv');

then $revenues = preg_grep ('/^Revenues/i', $file);

then

for ($revenues as $revenue)
{
    $revenue = str_getcsv($revenue);
    echo $revenue[0] . $revenue[1] . $revenue[2] . $revenue[3];//Revenue key 0,1,2,3
}

then $sales = preg_grep ('/^Sales/i', $file);

then

for ($sales as $sale)
{
    $sale = str_getcsv($sale);
    echo $sale[0] . $sale[1] . $sale[2] . $sale[3];//Sale key 0,1,2,3
}

Answer 2

You could read the csv into a named key array and then refer to the relevant row entry by name.

$csv = array();
$file = new SplFileObject( "csv/sample.csv" );
$file->setFlags( SplFileObject::READ_CSV );
foreach( $file as $index => $row ) {
    $csv[ strtolower( $row[0] )]=array_splice( $row, 1, count( $row ) );
}

echo '<pre>',print_r($csv['sales'],true),'</pre>';

Answer 3

Try this

$sales = [];
$revenues = [];
foreach($csv as $key => $val)
{
  $sales[] = $val['Sales'];
  $revenues[] $val['Revenue'];
}
 print_r($sales);
 print_r($revenues);

If you wish to get all data's:

 $data = [];
foreach($csv as $key => $val)
{
 $data[] = ['Sales' => $val['Sales'], 'Revenue' => $val['Revenue'], ......]; // so on and so forth.
}
print_r($data);