gistfile1.txt

# truncated version
def analyzeAndSave(tokyo, japan, call, local=False):        
    tokyoBase = tokyo[['Date','Gender','Age']]	
    tokyoBase = pd.get_dummies(tokyoBase, columns=["Gender","Age"])	
    tokyoBase = tokyoBase.assign(ct=1)
    sumtokyo = tokyoBase.groupby('Date').agg('sum')

    dailyTrend = sumtokyo['ct']
    dailyTrend.index.name = "name"
    dailyTrend.name = "Tokyo"
    dailyTrend = dailyTrend.to_frame()
    dailyTrend['7dayAvg'] = dailyTrend.rolling(7).mean()
    if (local):
        dailyTrend.reset_index().to_json('data/dailyTrend.json', orient="records")
    else:
        s3 = boto3.resource("s3")
        s3.Bucket(BUCKET_NAME).put_object(Key='data/dailyTrend.json', Body=dailyTrend.reset_index().to_json(orient="records"), ACL='public-read-write')