2016-04-11 2 views
0

Ich versuche, aus einer Liste die Paare von Kryptowährungen zu extrahieren, deren Volumen in der Basiswährung (hier BTC) größer als x ist.Wie erstellt man einen Datenrahmen aus einer Liste von mehreren Vektoren und Nicht-Vektor-Elementen in R?

So sieht die Struktur der Liste aus, wie Sie sehen können, gibt es die Basis- und die Quotierungswährungen (ex: USDT_1CR) und dann die Volumina in beiden Währungen (beginnend mit dem Volumen in der Basiswährung).

library(RCurl) 
library(rjson) 
> coins.volumes <- getURL("https://poloniex.com/public?command=return24hVolume") 
> coins.volumes <- fromJSON(txt=coins.volumes) 
> str(coins.volumes) 
    List of 139 
    $ USDT_1CR :List of 2 
     ..$ USDT: chr "13087.8971" 
     ..$ 1CR: chr "17052810.9055" 
    $ BTC_ABY :List of 2 
     ..$ BTC: chr "110.576946" 
     ..$ ABY: chr "1184777.93446228" 
    $ BTC_YET :List of 2 
     ..$ BTC: chr "190.547885" 
     ..$ YET: chr "8745777.21445528" 

Mein Ziel ist es, ein Datenrahmen mit Paaren zu schaffen, das Volumen in BTC mehr als 100 zum Beispiel haben, wie folgt aus:

   vol 
BTC_ABY 110.576946 
BTC_YET 190.547885 

Ich habe versuchen, eine Schleife durch die Liste zu tun, und wählen Sie das Volumen in der Basiswährung mit [[i]][1], aber in diesem Fall kann ich den Namen der Angebotswährung nicht finden.

for (i in 1:length(coins.volumes)){ 

    first(coins.volumes[i])$BTC 
    [do stuff here] 
    } 

So war meine Idee, die Liste in einem Datenrahmen zu konvertieren, sondern weil es enthält Sprachelemente (nicht-Vektoren Elemente) ist es nicht dazu gezwungen werden kann, und bleibt eine Liste (wie in der Dokumentation bemerkt). In diesem Fall kann ich später nicht an dem Objekt arbeiten, wie Sie in diesem Beispiel sehen können.

> coins.volumes <- as.data.frame(unlist(coins.volumes)) 
> colnames(coins.volumes) <- "vol" 
> head(coins.volumes) 
           vol 
USDT_1CR.USDT   1.38782971 
USDT_1CR.1CR  1705.28109055 
BTC_ABY.BTC   0.57736236 
BTC_ABY.ABY  1185677.73446228 
BTC_ADN.BTC   120.105021 
BTC_ADN.ADN  23700720.45086 

> typeof(coins.volumes) 
[1] "list" 

> class(coins.volumes) 
[1] "data.frame" 

> str(coins.volumes) 
'data.frame': 274 obs. of 1 variable: 
$ unlist(coins.volumes): chr "1.38782971" "1705.28109055" "0.57736236" "1185677.73446228" ... 

> head(subset(coins.volumes, coins.volumes[1]>100)) 
           vol 
USDT_1CR.USDT   1.38782971 
USDT_1CR.1CR   1705.28109055 
BTC_AYT.AYT  1184777.93446228 
BTC_ASN.ASN   18919.44145086 
BTC_ARCH.ARCH  40652.59641626 
BTC_BBR.BTC    5.89094062 

Hier subset(coins.volume, coins.volume[1]>100) funktioniert nicht wie erwartet und gibt Werte von weniger als 100 anstelle von mehr als 100

Ich denke, die Lösung unlistas.numeric dann konvertiert war, aber in diesem Fall habe ich verloren alle Namen der Paare (zB: BTC_ADN).

as.numeric(unlist(coins.volumes)) 

Was ist die beste Lösung, um diesen Datenrahmen zu erstellen? Filtern der Lautstärke ist kein Problem, nur Idee für die Erstellung des Datenrahmens wäre sehr zu schätzen.

EDIT '': dput() der Daten hinzugefügt

> dput(coins.data) 
structure(c(379.5, 358.00000001, 366.36659, 366.99999998, 365.51, 
380.45052024, 390.30000267, 396.20637602, 413.79564862, 421.9999999, 
417, 449.99999947, 432.870001, 443.99999993, 444.65204624, 462.6, 
453.000001, 454.5, 460, 459.89979983, 438.10101011, 439.7999, 
434.84381765, 445.78999998, 453.06271978, 459.37849927, 418.53822857, 
421.24000002, 423.59556697, 427.00000001, 425.11999918, 430.57315002, 
434.98999999, 436.9499, 428.14, 432.00001111, 430.37677352, 427.50002018, 
451.10000452, 455, 447.42, 447.87047098, 448.44, 446.20000003, 
433.18077498, 429.49640246, 369.99, 381.82436564, 372.5, 384.50000387, 
378.15, 418.00000217, 406.0000001, 380.97271858, 384.12146191, 
406.80087622, 392.17000023, 391.46, 396, 378.0000001, 376.8600002, 
378.66999987, 371.20999998, 374.13999999, 368.6900001, 358.52, 
383.99999998, 383.05700757, 377.63999943, 372.99999933, 374.04999999, 
376.71518383, 383.18, 388.2499994, 387.9999999, 388.88888955, 
402.73, 399, 411.48, 418.00000049, 419, 416.00100053, 436.5000141, 
441.33604503, 439.80001723, 417, 415.31, 421.90905001, 424.00006175, 
429.97999999, 432.84999999, 440, 430.605, 428.8604227, 421.59, 
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0.00023715, 0.00028029, 0.00025436, 0.00026255, 0.00025346, 0.00026248, 
0.00026983, 0.00026401, 0.00025888, 0.00023793, 0.0002196, 0.00024699, 
0.00023778, 0.00019668, 0.00019505, 0.000205, 0.00019805, 0.00022998, 
0.00022, 0.00022015, 0.000248, 0.00023537, 0.00021882, 0.00020414, 
0.0002112, 0.00021004, 0.000202, 0.0001945, 0.00019231, 0.0001907, 
0.0001934, 0.00019587, 0.00018308, 0.00017903, 0.00017953, 0.00018174, 
0.00017839, 0.00015939, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
NA, NA, NA, 0.01330144, 0.00059898, 0.00039148, 0.00042809, 0.00108, 
0.00094015, 0.00063, 0.00068948, 0.00067949, 0.00068981, 0.00065867, 
0.00066055, 0.00065326, 0.00075101, 0.00089555, 0.0007904, 0.00072222, 
0.00072643, 0.00090199, 0.00088884, 0.00091531, 0.00098582, 0.00107119, 
0.00101975, 0.0009642, 0.00091978, 0.00081613, 0.00080831, 0.00079061, 
0.0008595, 0.00082333, 0.00080178, 0.00100176, 0.0010473, 0.00104217, 
0.00112294, 0.00173468, 0.00190012, 0.001835, 0.00181218, 0.00157862, 
0.00136222, 0.00147079, 0.00149283, 0.00153158, 0.00152148, 0.00152123, 
0.00151522, 0.00147258, 0.00147643, 0.00148537, 0.00142856, 0.00154899, 
0.00165459, 0.00156768, 0.00129449, 0.00231785, 0.00240705, 0.00228976, 
0.00228, 0.00232459, 0.00219997, 0.00212882, 0.002015, 0.002, 
0.00189089, 0.00202, 0.00203835, 0.00224993, 0.00219601, 0.00223344, 
0.002199, 0.00219664, 0.00206823, 0.00197002, 0.00195134, 0.00203521, 
0.00204111, 0.00199058, 0.00191003, 0.00188043, 0.00191, 0.00205005, 
0.00201267, 0.00200001, 0.00202056, 0.00213656, 0.00216513, 0.00215209, 
0.00215098, 0.00225072, 0.00218092, 0.00220501, 0.00222223, 0.00207652, 
0.00216979, 0.00218896, 0.0022275, 0.00233401, 0.00258081, 0.00262208, 
0.00272941, 0.00326988, 0.00315998, 0.00341884, 0.00363508, 0.00358923, 
0.00370199, 0.00378318, 0.003895, 0.00521, 0.00526097, 0.00626864, 
0.00550994, 0.0061, 0.0066398, 0.00655773, 0.00643708, 0.00633012, 
0.00596006, 0.00646492, 0.00678111, 0.0066, 0.00654998, 0.00670102, 
0.00783876, 0.00859999, 0.00989203, 0.0116998, 0.015953, 0.014351, 
0.01341946, 0.0126311, 0.01309005, 0.0107, 0.008852, 0.0103, 
0.01066002, 0.00974203, 0.01073885, 0.012909, 0.01331927, 0.014578, 
0.01399, 0.01388995, 0.01472999, 0.01489, 0.01445, 0.01756666, 
0.0198, 0.02264987, 0.02457, 0.027707, 0.02735002, 0.02271001, 
0.02350854, 0.02887999, 0.026915, 0.02674, 0.032606, 0.03619991, 
0.030245, 0.03103846, 0.030887, 0.026235, 0.02629243, 0.02555394, 
0.02460892, 0.02887999, 0.027, 0.029789, 0.02680799, 0.025575, 
0.02652499, 0.02435701, 0.02766899, 0.0283, 0.028629, 0.027199, 
0.027969, 0.02753937, 0.027523, 0.026521, 0.02452622, 0.025463, 
0.023868, 0.023253, 0.02194772, 0.02092458, 3.3e-07, 3.4e-07, 
3.5e-07, 3.4e-07, 3.5e-07, 3.2e-07, 3.1e-07, 3.2e-07, 3.1e-07, 
3.3e-07, 3.2e-07, 3e-07, 3.1e-07, 3e-07, 3e-07, 3e-07, 2.9e-07, 
3e-07, 3.1e-07, 2.9e-07, 3e-07, 3.1e-07, 3e-07, 3.1e-07, 3.1e-07, 
3e-07, 3.3e-07, 3.3e-07, 3.1e-07, 3.1e-07, 3.2e-07, 3.1e-07, 
3.1e-07, 3.2e-07, 3.1e-07, 3.2e-07, 3.2e-07, 3.1e-07, 3.1e-07, 
3.4e-07, 4e-07, 3.7e-07, 3.8e-07, 4.1e-07, 4.1e-07, 4e-07, 4e-07, 
4e-07, 4e-07, 3.9e-07, 3.9e-07, 3.9e-07, 3.9e-07, 4.3e-07, 4.5e-07, 
4.7e-07, 5.4e-07, 8.5e-07, 1.15e-06, 9e-07, 8.4e-07, 6.7e-07, 
7.1e-07, 7e-07, 7e-07, 7.2e-07, 7.4e-07, 7.8e-07, 8e-07, 7.4e-07, 
7.6e-07, 7.7e-07, 7.6e-07, 7.4e-07, 7.6e-07, 7.4e-07, 7.2e-07, 
7.2e-07, 6.9e-07, 6.5e-07, 6.5e-07, 6.8e-07, 6.6e-07, 6.5e-07, 
6.5e-07, 6.5e-07, 6.5e-07, 6.3e-07, 6e-07, 5.8e-07, 5.8e-07, 
5.6e-07, 5.7e-07, 5.6e-07, 5.7e-07, 5.7e-07, 5.5e-07, 5.4e-07, 
5.6e-07, 5.3e-07, 5.6e-07, 5.8e-07, 5.8e-07, 5.8e-07, 5.9e-07, 
5.7e-07, 5.6e-07, 5.5e-07, 5.3e-07, 5.1e-07, 5.4e-07, 5.1e-07, 
5.1e-07, 5.2e-07, 5.2e-07, 5.1e-07, 5.1e-07, 5e-07, 5e-07, 5e-07, 
6.2e-07, 5.6e-07, 5.6e-07, 5.4e-07, 5.4e-07, 5.2e-07, 5.2e-07, 
5.1e-07, 5.1e-07, 4.9e-07, 5.1e-07, 4.9e-07, 4.8e-07, 0.0002998, 
0.0002527, 0.00024468, 0.00021729, 0.00025549, 0.00022605, 0.00022839, 
0.00022871, 0.00022876, 0.00022025, 0.00023, 0.00017987, 0.00018368, 
0.00017209, 0.00017994, 0.00025, 0.00022, 0.0002169, 0.000288, 
0.00040803, 0.00064597, 0.001593, 0.00121, 0.00096554, 0.00087428, 
0.00087998, 0.001102, 0.00106, 0.00102718, 0.00092975, 0.00107198, 
0.00104989, 0.0013509, 0.00154557, 0.0014891, 0.00138396, 0.00141504, 
0.00143118, 0.00124749, 0.00169488, 0.00174738, 0.0016001, 0.0016999, 
0.00277248, 0.00274304, 0.00262792, 0.00255346, 0.00231994, 0.00251107, 
0.00244875, 0.00227001, 0.00221312, 0.00243214, 0.00267434, 0.00265491, 
0.00255999, 0.00237757, 0.00311377, 0.00312137, 0.00283, 0.00261806, 
0.00262999, 0.00238439, 0.002379, 0.00210977, 0.00227968, 0.00239801, 
0.00264, 0.00261122, 0.00252167, 0.00268501, 0.00255, 0.00297999, 
0.00305013, 0.00294088, 0.00271931, 0.00273909, 0.00273868, 0.00283597, 
0.00247834, 0.002475, 0.00247433, 0.00232022, 0.00230184, 0.00220022, 
0.00227615, 0.00253104, 0.00249086, 0.00234615, 0.00237541, 0.00246367, 
0.0023214, 0.00220099, 0.00238204, 0.00259219, 0.00289999, 0.00436989, 
0.00510849, 0.0057828, 0.00786, 0.00706999, 0.00597493, 0.00573323, 
0.00600793, 0.00586653, 0.0049849, 0.00518083, 0.00459982, 0.00399501, 
0.00367715, 0.00431188, 0.00379901, 0.00419926, 0.0041979, 0.00444515, 
0.00426247, 0.00435615, 0.00436523, 0.00399998, 0.00404728, 0.00427805, 
0.00415573, 0.00407699, 0.00399999, 0.00380424, 0.00395101, 0.00394104, 
0.00380866, 0.00365385, 0.0036067, 0.00362287, 0.00357754, 0.00286019, 
8.54e-06, 8.83e-06, 8.62e-06, 8.74e-06, 9.37e-06, 8.77e-06, 8.55e-06, 
8.64e-06, 9.04e-06, 8.97e-06, 8.86e-06, 8.89e-06, 8.5e-06, 8.42e-06, 
8.25e-06, 7.93e-06, 8.04e-06, 8.03e-06, 7.85e-06, 7.69e-06, 7.89e-06, 
8.16e-06, 7.99e-06, 7.59e-06, 7.48e-06, 7.71e-06, 7.98e-06, 8.4e-06, 
8.11e-06, 7.98e-06, 8.18e-06, 8.09e-06, 7.99e-06, 7.91e-06, 7.9e-06, 
7.8e-06, 7.78e-06, 7.55e-06, 6.29e-06, 5.97e-06, 6.8e-06, 6.62e-06, 
6.66e-06, 7e-06, 7.35e-06, 7.3e-06, 8.07e-06, 7.98e-06, 7.79e-06, 
7.79e-06, 7.89e-06, 7.57e-06, 7.47e-06, 7.85e-06, 7.71e-06, 7.58e-06, 
7.94e-06, 8.82e-06, 9.84e-06, 9.59e-06, 9.33e-06, 8.78e-06, 9.09e-06, 
9.12e-06, 8.82e-06, 8.7e-06, 8.42e-06, 8.56e-06, 8.71e-06, 9.63e-06, 
8.94e-06, 8.83e-06, 8.94e-06, 9.67e-06, 1.257e-05, 1.153e-05, 
1.078e-05, 1.17e-05, 1.252e-05, 1.012e-05, 1.016e-05, 1.027e-05, 
9.29e-06, 9.35e-06, 9.43e-06, 1.002e-05, 9.59e-06, 9.36e-06, 
9.58e-06, 9.33e-06, 9.49e-06, 9.11e-06, 9.14e-06, 9.08e-06, 9.43e-06, 
1.002e-05, 1.015e-05, 1.306e-05, 1.097e-05, 1.184e-05, 1.206e-05, 
1.966e-05, 1.861e-05, 1.959e-05, 1.741e-05, 1.458e-05, 1.524e-05, 
1.58e-05, 1.395e-05, 1.328e-05, 1.411e-05, 1.34e-05, 1.541e-05, 
1.456e-05, 1.465e-05, 1.39e-05, 1.459e-05, 1.6e-05, 1.453e-05, 
1.424e-05, 1.416e-05, 1.482e-05, 1.422e-05, 1.415e-05, 1.4e-05, 
1.417e-05, 1.472e-05, 1.437e-05, 1.419e-05, 1.389e-05, 1.363e-05, 
1.343e-05, 1.192e-05), .Dim = c(133L, 13L), .Dimnames = list(
    NULL, c("BTC", "DASH", "XMR", "DGB", "STR", "SYS", "SJCX", 
    "MAID", "RADS", "ETH", "DOGE", "FCT", "BTS")), index = structure(c(1448928000, 
1449014400, 1449100800, 1449187200, 1449273600, 1449360000, 1449446400, 
1449532800, 1449619200, 1449705600, 1449792000, 1449878400, 1449964800, 
1450051200, 1450137600, 1450224000, 1450310400, 1450396800, 1450483200, 
1450569600, 1450656000, 1450742400, 1450828800, 1450915200, 1451001600, 
1451088000, 1451174400, 1451260800, 1451347200, 1451433600, 1451520000, 
1451606400, 1451692800, 1451779200, 1451865600, 1451952000, 1452038400, 
1452124800, 1452211200, 1452297600, 1452384000, 1452470400, 1452556800, 
1452643200, 1452729600, 1452816000, 1452902400, 1452988800, 1453075200, 
1453161600, 1453248000, 1453334400, 1453420800, 1453507200, 1453593600, 
1453680000, 1453766400, 1453852800, 1453939200, 1454025600, 1454112000, 
1454198400, 1454284800, 1454371200, 1454457600, 1454544000, 1454630400, 
1454716800, 1454803200, 1454889600, 1454976000, 1455062400, 1455148800, 
1455235200, 1455321600, 1455408000, 1455494400, 1455580800, 1455667200, 
1455753600, 1455840000, 1455926400, 1456012800, 1456099200, 1456185600, 
1456272000, 1456358400, 1456444800, 1456531200, 1456617600, 1456704000, 
1456790400, 1456876800, 1456963200, 1457049600, 1457136000, 1457222400, 
1457308800, 1457395200, 1457481600, 1457568000, 1457654400, 1457740800, 
1457827200, 1457913600, 1.458e+09, 1458086400, 1458172800, 1458259200, 
1458345600, 1458432000, 1458518400, 1458604800, 1458691200, 1458777600, 
1458864000, 1458950400, 1459036800, 1459123200, 1459209600, 1459296000, 
1459382400, 1459468800, 1459555200, 1459641600, 1459728000, 1459814400, 
1459900800, 1459987200, 1460073600, 1460160000, 1460246400, 1460332800 
), tzone = structure("UTC", .Names = "TZ"), tclass = "Date"), class = c("xts", 
"zoo"), .indexCLASS = "Date", .indexTZ = structure("UTC", .Names = "TZ"), tclass = c("POSIXct", 
"POSIXt"), tzone = structure("UTC", .Names = "TZ")) 

EDIT: Hinzufügen der structure der Liste

> head(structure(coins.volumes)) 
$BTC_1CR 
$BTC_1CR$BTC 
[1] "1.65816128" 

$BTC_1CR$`1CR` 
[1] "2008.64938599" 


$BTC_ABY 
$BTC_ABY$BTC 
[1] "0.83078577" 

$BTC_ABY$ABY 
[1] "1679333.10356384" 


$BTC_ADN 
$BTC_ADN$BTC 
[1] "0.20472476" 

$BTC_ADN$ADN 
[1] "29634.34146836" 


$BTC_ARCH 
$BTC_ARCH$BTC 
[1] "0.22979850" 

$BTC_ARCH$ARCH 
[1] "32173.19309997" 


$BTC_BBR 
$BTC_BBR$BTC 
[1] "5.66801943" 

$BTC_BBR$BBR 
[1] "98579.06094324" 


$BTC_BCN 
$BTC_BCN$BTC 
[1] "4.78475521" 

$BTC_BCN$BCN 
[1] "48259301.26876716" 

Danke

+0

Möchten Sie einige Daten als 'df <- structure (yorData)' posten, damit es ausprobiert werden kann? Es sieht so aus, als müssten Sie durch eine mehrstufige Liste springen, einige Variationen dieses Problems wurden auf SO angesprochen. – Konrad

+0

@Konrad - nicht sicher, das ist, was Sie fragen, aber ich bearbeite nur die Frage und fügte die Ausgabe der Struktur der Liste und auch die 'getURL' – Florent

+1

Post-Ausgabe von' dput (yourData) ' –

Antwort

2

denke ich, die folgenden für die Daten arbeiten dass Sie in Ihrem Beispiel haben:

# use your for loop to get the list of values 
coins.values <- numeric(length=length(coins.volumes)) 
for (i in 1:length(coins.volumes)){ 
    coins.values[i] <- as.numeric(coins.volumes[[i]][1]) 
} 
# use the names function to get the desired names 
coins.names <- names(coins.volumes) 

# make a data.frame 
newData <- data.frame("names"=coins.names, "values"=coins.values) 
+0

Vielen Dank es funktioniert perfekt – Florent

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