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PyConJP 2015: Dask: 軽量並列計算フレームワーク (Lightning ta...
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Sinhrks
October 10, 2015
Programming
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PyConJP 2015: Dask: 軽量並列計算フレームワーク (Lightning talks)
Sinhrks
October 10, 2015
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Transcript
Dask ܰྔฒྻܭࢉϑϨʔϜϫʔΫ
ࣗݾհ • Data Analyst • OSS ׆ಈ: • PyData Development
Team (pandasίϛολ) • Blaze Development Team (Daskίϛολ) • GitHub: https://github.com/sinhrks
Dask • ܰྔฒྻࢄϑϨʔϜϫʔΫ (ϊʔυฒྻ͕ओ) • NumPy, PyToolz, pandasͷAPI (αϒηοτ) Λ
ͭσʔλߏΛఏڙ αϒϞδϡʔϧ ϕʔεύοέʔδ EBTLBSSBZ /VN1ZOEBSSBZ EBTLCBH 1Z5PPM[ MJTU TFU EJDUʹର͢Δॲཧ EBTLEBUBGSBNF QBOEBT%BUB'SBNF
DataFrame • pandas.DataFrame: ϥϕϧ͖ͷ2࣍ݩσʔλ • Dask.DataFrame: pandas.DataFrame Λׂͯ͠ ॲཧ QBOEBT%BUB'SBNF
%BTL%BUB'SBNF
Dask DataFrame import pandas as pd df = pd.DataFrame({'X': np.arange(10),
'Y': np.arange(10, 20), 'Z': np.arange(20, 30)}, index=list('abcdefghij')) df import dask.dataframe as dd ddf = dd.from_pandas(df, 2) ddf dd.DataFrame<from_pandas-…, divisions=('a', 'f', 'j')> ߦྻͷ QBOEBT%BUB'SBNFΛ࡞ σʔλΛ෦తʹͭʹׂ͠ɺ %BTL%BUB'SBNFΛ࡞
DaskͰͷܭࢉॲཧ ddf + 1 dd.DataFrame<elemwise-…, divisions=('a', 'f', 'j')> (ddf +
1).compute() EG EEG DPNQVUF EEG શମʹΛՃࢉɻ ࣮ࡍͷܭࢉॲཧ·࣮ͩߦ͞Εͳ͍ ܭࢉΛ࣮ߦ
Blocked Algorithm (Ճࢉ) $PODBU (ddf + 1).compute() ॲཧલͷ
QBOEBT%BUB'SBNF %BTL%BUB'SBNF ʹม ׂ͞Εͨσʔλʹରͯ͠ ܭࢉ࣮ߦ݁ՌΛ݁߹ ॲཧޙͷ QBOEBT%BUB'SBNF
Blocked Algorithm (߹ܭ) ddf.sum().compute() 4VN 4VN $PODBU 4VN TVN ճ
DPODBU TVN ճ
Blocked Algorithm (߹ܭ) ddf.sum().visualize() TVN ճ DPODBU TVN ճ ॲཧલͷ
%BTL%BUB'SBNF
Blocked Algorithm (ฏۉ) ddf.mean().visualize() TVN DPVOU NFBOTVNDPVOU
Blocked Algorithm (ཁ౷ܭྔ) ddf.describe().visualize() ݁Ռ
Dask DataFrameͷػೳ • ࢛ଇԋࢉ/ൺֱԋࢉ • ౷ܭྔ • ϥϕϧʹΑΔσʔλબ • άϧʔϓԽ
/ ू • ࿈݁/݁߹ (merge, join, concat…)
ύϑΥʔϚϯεൺֱ • AWS EC2: c4.2xlarge (vCPU: 8, ϝϞϦ: 15 GiB)
n = 100000000 df = pd.DataFrame({'a': np.random.randint(1, 100, n), 'b': np.random.randn(n)}) df ddf = dd.from_pandas(df, 5) ddf dd.DataFrame<from_pandas-…, divisions=(0, 20000000, 40000000, 60000000, 80000000, 99999999)> ԯߦྻͷ QBOEBT%BUB'SBNFΛ࡞ σʔλΛ෦తʹͭʹׂ͠ɺ %BTL%BUB'SBNFΛ࡞
ύϑΥʔϚϯεൺֱ %timeit df.describe() 1 loops, best of 3: 25.3 s
per loop %timeit ddf.describe().compute() 1 loops, best of 3: 3.87 s per loop QBOEBT %BTL
݁Ռ • ※ percentile ۙࣅΞϧΰϦζϜΛར༻͢ΔͨΊɺ ʹࠩҟ͕ग़Δ߹͕͋Δ () df.describe() ddf.describe().compute() QBOEBT
%BTL
݁Ռ ddf.describe().visualize()
·ͱΊ • Dask: ܰྔฒྻࢄϑϨʔϜϫʔΫ • NumPy, PyToolz, pandas ͷAPIͷαϒηοτΛ ఏڙ
• Ϣʔβ NumPy / PyToolz / pandas ͷ API Λ ར༻ͯ͠ฒྻܭࢉ͕Ͱ͖Δ