mmm_code.py 文件源码

def timeGroup (frame, step, file_csv): 
    dfx = frame.set_index(['time'])
    dfx = dfx[dfx.status == 'accepted']
    grouper = dfx.groupby([pd.TimeGrouper(step), 'Miner'])
    dfTimeS = grouper['Miner'].count().unstack('Miner').fillna(0)
    dfTimeS = dfTimeS[:-1] #There are arguments for and against this. The final group is not 'complete', so we will not include it.
    dfTimeS.to_csv(file_csv, encoding='utf-8')
    return dfTimeS

#Summary tables