我的代码简化如下:
# Test data
df= DataFrame([True, True, False, False, False, False, True, False, False],
index=pd.to_datetime(['2015-05-01', '2015-05-02', '2015-05-03',
'2015-05-04', '2015-05-05', '2015-05-06',
'2015-05-07', '2015-05-08', '2015-05-09']),
columns=['A'])
# We have to ensure that the index is sorted
df.sort_index(inplace=True)
# Resetting the index to create a column
df.reset_index(inplace=True)
# Grouping by the cumsum and counting the number of dates and getting their min and max
df = df.groupby(df['A'].cumsum()).agg(
{'index': ['count', 'min', 'max']})
# Removing useless column level
df.columns = df.columns.droplevel()
print(df)
# count min max
# A
# 1 1 2015-05-01 2015-05-01
# 2 5 2015-05-02 2015-05-06
# 3 3 2015-05-07 2015-05-09
# Getting the max
df[df['count']==df['count'].max()]
# count min max
# A
# 2 5 2015-05-02 2015-05-06
有一次,我的Future [StandardRoute]包含我的结果,但我不知道如何在不阻止Future的情况下完成此请求。
答案 0 :(得分:3)
在处理期货onComplete
时,您可以使用without blocking
完成请求。 onComplete
占用了未来,然后我们可以在success
和failure
上进行模式匹配,以准备Http响应。
path("path") {
post {
val routeFuture: Future[StandardRoute] = Future {
utilFunctionRoute()
}
onComplete(routeFuture){
case util.Success(f) =>
complete(StatusCodes.OK)
case util.Failure(ex) =>
complete(StatusCodes.InternalServerError )
}
}