mak00s

import dask.dataframe as dd

# 分割されたCSVでも一つの巨大CSVでも同じように読み込める
file1 = 'DW-exported-*.csv'
df = dd.read_csv(file1, header=0, names=('Pages','VisitNum','HitDepth','Date','CV','Customer ID','Referrer','PV'), dtype={'Pages':'object','VisitNum':'int16','HitDepth':'int16','Date':'object','CV':'object','eVar13':'object','Referrer':'object','PV':'int16'})
# カラム名や型を指定しない場合
#df = dd.read_csv(file1, header=0)

# この結果、複数のパーティションに分割されたpandas dataframeが生成される

wchargin

ply
format ascii 1.0
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comment #
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comment # you may not use this file except in compliance with the License.
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0rbianta

using namespace std;

//----------------------Convert a Java data------------------------\\


jstring create_jstring(JNIEnv *env, const char *data) {
    return env->NewStringUTF(data);
}

jint create_jint(JNIEnv *env, int data){