2012-02-29 26 views
2

similar in Bashを実行しましたが、Rubyの2-3行の簡略化された行でこれを行う方法がわかりませんが、正しいコーディングでKung -Fu。RubyのCSVヘッダー行から変数を作成する方法

私は次のようになりますヘッダー行と "file.csvになり" がありますように見える程度7000行が続き

Ticker,"Price","Market Cap","Average Volume","Analyst Recom","Relative Strength Index (14)","Sector","Industry","Dividend Yield","Beta","52-Week Low","52-Week High","50-Day Low","50-Day High","Company","50-Day Simple Moving Average","Country","P/E","Forward P/E","PEG","P/S","P/B","P/Cash","P/Free Cash Flow","Payout Ratio","EPS (ttm)","EPS growth this year","EPS growth next year","EPS growth past 5 years","EPS growth next 5 years","Sales growth past 5 years","EPS growth quarter over quarter","Sales growth quarter over quarter","Shares Outstanding","Shares Float","Insider Ownership","Insider Transactions","Institutional Ownership","Institutional Transactions","Float Short","Short Ratio","Return on Assets","Return on Equity","Return on Investment","Current Ratio","Quick Ratio","LT Debt/Equity","Total Debt/Equity","Gross Margin","Operating Margin","Profit Margin","Performance (Week)","Performance (Month)","Performance (Quarter)","Performance (Half Year)","Performance (Year)","Performance (Year)","Average True Range","Volatility (Week)","Volatility (Month)","20-Day Simple Moving Average","200-Day Simple Moving Average","Change from Open","Gap","Relative Volume","Change","Volume","Earnings Date","No." 

:ティッカーシンボル "FCD" を考える

FCD,27.89,,0.94,,66.75,"Financial","Exchange Traded Fund",3.13%,,19.75%,-0.36%,6.37%,-0.36%,"Focus Morningstar Consumer Defensive ETF",2.28%,"USA",,,,,,,,,,,,,,,, 
,,,,,,,,,,,,,,,,,,,0.36%,3.07%,9.93%,10.85%,,2.01%,0.12,0.04%,0.21%,1.26%,6.69%,0.00%,-0.04%,0.96,-0.04%,900,,2186 
FCE-A,14.59,2496.64,960.33,2.50,54.76,"Financial","Property Management",,2.83,56.55%,-24.87%,36.61%,-7.77%,"Forest City Enterprises Inc.",11.49%,"USA",,69.48,,2.2 
5,1.58,10.87,,,-0.02,410.77%,250.00%,-10.06%,8.00%,1.54%,-28.77%,-9.00%,171.12,136.94,0.26%,-8.25%,74.80%,-0.13%,4.62%,6.59,0.46%,-0.12%,0.54%,,,4.35,4.35,39.54%, 
4.82%,4.60%,-4.01%,8.96%,25.45%,13.10%,-22.80%,23.43%,0.44,3.07%,2.98%,-0.89%,1.49%,-1.62%,0.00%,0.47,-1.62%,449874,12/8/2010 4:30:00 PM,2187 

を、私は、ヘッダーフィールドから取られた約30の新しい変数を「FCD」行に一致する値に大量に割り当てようとしています。

それぞれの新しい変数は接頭辞fv_で、残りはフィールド名からすべての句読点、スペース、引用符などを除いて残ります(可変でないもの)。だから、

「FCDは、」私は私のスクリプトを与えることをしようとしているために:私は、原因horrible slowdown using native Ruby 1.9.x CSV objectsCSV.readまたはCSV.foreachのいずれかの種類を使用して終了読み取るために数分を要したため、受け入れられないことに注意してください

fv_Ticker="FCD" 
fv_Price=27.89 
fv_MarketCap="" 
fv_VolatilityMonth=0.21 # if get String not Float because of trailing % in "0.21%" that's okay, will deal with it later 
etc. 

繰り返し実行されるリアルタイムアプリケーションで実行されます。

$stock="FCD" 
$dividend_yield = IO.readlines("|awk -F, '$1==\"#{$stock}\" {print $9}' finviz.AllStocks.csv")[0].to_f 
$beta = IO.readlines("|awk -F, '$1==\"#{$stock}\" {print $10}' AllStocks.csv")[0].to_f 

が、今では一般化しないように、あまりにも毛深いなっています:

代わりに、私は即座にこのようなファイルから読み込まれ、個々の変数を割り当てるには "awkのにRubyのパイプを使用してきました。未知のフィールドを持つCSVのようなファイルであれば、最初の行まで見る必要があります。

+0

なぜ変数ですか?なぜ、{{"FCD" => someObject} 'のハッシュはありませんか? – Linuxios

+0

ハッシュもうまくいかないかもしれませんが、高速である必要があります。 [以前の](http://stackoverflow.com/q/8476769/1069375)CSVをRubyに読み込むと失敗しました。 – Marcos

+0

変数を使用してシンボルテーブルを満たすことは、ハッシュより効率的ではありません。また、何にでもグローバル変数を使用すると、特にこれは良い考えではありません。 – Linuxios

答えて

0

私は何かをしていると思う。 Rubyは唯一の2行CSV入力を見ることができますミドル・オブ・ロードの方法は、その本来の処理が高速である必要があります:

puts IO.readlines(%`|sed -n "1p; /^#{$stock},/p" AllStocks.csv`) # sed filters out the gazillion other lines that make Ruby slow 

それは動作します。この(私は後にした連想配列)

$stock = "ANAD" 

csv_data = CSV.parse IO.read(%`|sed -n "1p; /^#{$stock},/p" AllStocks.csv`) 
headers = csv_data.shift.map {|i| i.to_s } 
string_data = csv_data.map {|row| row.map {|cell| cell.to_s } } 
tickers = array_of_hashes = string_data.map {|row| Hash[*headers.zip(row).flatten] } 

pp tickers[0]  
=> {"Ticker"=>"ANAD", "Price"=>"2.57", "Market Cap"=>"175.20", "Average Volume"=>"442.65", "Analyst Recom"=>"2.90", "Relative Strength Index (14)"=>"38.21", "Sector"=>"Technology", "Industry"=>"Semiconductor - Integrated Circuits", "Dividend Yield"=>"", "Beta"=>"2.30", "52-Week Low"=>"33.85%", "52-Week High"=>"-52.84%", "50-Day Low"=>"27.23%", "50-Day High"=>"-20.19%", "Company"=>"Anadigics, Inc.", "50-Day Simple Moving Average"=>"-2.63%", "Country"=>"USA", "P/E"=>"", "Forward P/E"=>"", "PEG"=>"", "P/S"=>"1.15", "P/B"=>"1.05", "P/Cash"=>"3.08", "P/Free Cash Flow"=>"", "Payout Ratio"=>"", "EPS (ttm)"=>"-0.73", "EPS growth this year"=>"-4002.36%", "EPS growth next year"=>"57.90%", "EPS growth past 5 years"=>"-7.14%", "EPS growth next 5 years"=>"15.67%", "Sales growth past 5 years"=>"-1.69%", "EPS growth quarter over quarter"=>"-564.96%", "Sales growth quarter over quarter"=>"-39.37%", "Shares Outstanding"=>"68.17", "Shares Float"=>"66.25", "Insider Ownership"=>"3.87%", "Insider Transactions"=>"-7.51%", "Institutional Ownership"=>"47.64%", "Institutional Transactions"=>"-6.24%", "Float Short"=>"3.30%", "Short Ratio"=>"4.95", "Return on Assets"=>"-23.34%", "Return on Equity"=>"-26.70%", "Return on Investment"=>"-26.33%", "Current Ratio"=>"4.89", "Quick Ratio"=>"3.90", "LT Debt/Equity"=>"0.00", "Total Debt/Equity"=>"0.00", "Gross Margin"=>"20.35%", "Operating Margin"=>"-32.79%", "Profit Margin"=>"-32.27%", "Performance (Week)"=>"-5.17%", "Performance (Month)"=>"-7.22%", "Performance (Quarter)"=>"21.23%", "Performance (Half Year)"=>"-6.20%", "Performance (Year)"=>"17.35%", "Average True Range"=>"0.16", "Volatility (Week)"=>"5.14%", "Volatility (Month)"=>"5.51%", "20-Day Simple Moving Average"=>"-13.04%", "200-Day Simple Moving Average"=>"-3.71%", "Change from Open"=>"-4.10%", "Gap"=>"0.00%", "Relative Volume"=>"0.95", "Change"=>"-4.10%", "Volume"=>"421200", "Earnings Date"=>"2/22/2012 7:00:00 AM", "No."=>"280"} 


tickers[0]["Volatility (Month)"].to_f 
=> 5.51 
1

:RubyはわずかCSVを見て、ヘッダとsedへのデータのおかげに1行に1つの行は、それが一瞬にロードして、私は私のハッシュを持っているので、シングルラインのバージョンはlastよりも優れています。それは、短く簡単ですし、どのような特に魅力的だし、(almost-)可変準備ユニーク名にすべてのヘッダのタイトルを適応させるので、私は後でその原料のほとんどを解析する心配する必要はありません。

csv_data = CSV.parse IO.read(%`|sed -n "1p; /^#{$stock},/p" AllStocks.csv`), {:headers => true, :return_headers => false, :header_converters => :symbol, :converters => :all} 

結果:

csv_data.size 
=> 1 

csv_data.to_a 
=> [[:ticker, :price, :market_cap, :average_volume, :analyst_recom, :relative_strength_index_14, :sector, :industry, :dividend_yield, :beta, :"52week_low", :"52week_high", :"50day_low", :"50day_high", :company, :"50day_simple_moving_average", :country, :pe, :forward_pe, :peg, :ps, :pb, :pcash, :pfree_cash_flow, :payout_ratio, :eps_ttm, :eps_growth_this_year, :eps_growth_next_year, :eps_growth_past_5_years, :eps_growth_next_5_years, :sales_growth_past_5_years, :eps_growth_quarter_over_quarter, :sales_growth_quarter_over_quarter, :shares_outstanding, :shares_float, :insider_ownership, :insider_transactions, :institutional_ownership, :institutional_transactions, :float_short, :short_ratio, :return_on_assets, :return_on_equity, :return_on_investment, :current_ratio, :quick_ratio, :lt_debtequity, :total_debtequity, :gross_margin, :operating_margin, :profit_margin, :performance_week, :performance_month, :performance_quarter, :performance_half_year, :performance_year, :performance_year, :average_true_range, :volatility_week, :volatility_month, :"20day_simple_moving_average", :"200day_simple_moving_average", :change_from_open, :gap, :relative_volume, :change, :volume, :earnings_date, :no], ["ANAD", 2.57, 175.2, 442.65, 2.9, 38.21, "Technology", "Semiconductor - Integrated Circuits", nil, 2.3, "33.85%", "-52.84%", "27.23%", "-20.19%", "Anadigics, Inc.", "-2.63%", "USA", nil, nil, nil, 1.15, 1.05, 3.08, nil, nil, -0.73, "-4002.36%", "57.90%", "-7.14%", "15.67%", "-1.69%", "-564.96%", "-39.37%", 68.17, 66.25, "3.87%", "-7.51%", "47.64%", "-6.24%", "3.30%", 4.95, "-23.34%", "-26.70%", "-26.33%", 4.89, 3.9, 0.0, 0.0, "20.35%", "-32.79%", "-32.27%", "-5.17%", "-7.22%", "21.23%", "-6.20%", "-50.39%", "17.35%", 0.16, "5.14%", "5.51%", "-13.04%", "-3.71%", "-4.10%", "0.00%", 0.95, "-4.10%", 421200, "2/22/2012 7:00:00 AM", 280]] 


$company = csv_data[:company][0] 
=> "Anadigics, Inc." 

csv_data[:volatility_month] 
=> ["5.51%"] 
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