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以 Fixed Time 模式进行交易

Calculate Time Difference Between Two Pandas Columns in Hours and Minutes

I have two columns, fromdate and todate , in a dataframe.

I add a new column, diff , to find the difference between the two dates using

I get the diff column, but it contains days , when there's more than 24 hours.

How do I convert my results to only hours and minutes (i.e. days are converted to hours)?

3 Answers 3

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Pandas timestamp differences 以 Fixed Time 模式进行交易 returns a datetime.timedelta object. This can easily be converted into hours by using the *as_type* method, like so

The astype workaround works, but it is too slow for large (0.5 Million rows) files. Any other suggestions?

This was driving me bonkers as the .astype() solution above didn't work for me. But I found another way. Haven't timed it or anything, but might work for others out there:

. if you want hours. Or:

. if you want minutes.

UPDATE: There used to be a helpful comment here that mentioned using .total_seconds() for time periods spanning multiple days. Since it's gone, I've updated the answer.

yelog/layui-table-merge

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README.md

为 layui 扩展的 表格列自动合并[独立模块版]

当前 layui 版本为 2.4.5

在线demo: http://yelog.org/layui-table-merge/
这个在线 demo就是本项目的 index.html 。 可将项目 clone 到本地查看效果。

效果

属性名属性值例子描述
mergebooleanmerge: true开启合并,并根据 当前列 相同值 自动合并
stringmerge: 'name'开启合并,并根据 指定列 相同值 自动合并
arraymerge: ['name', 'type']开启合并,并先根据 name值 分组后,再以 type值 相同的合并对应行
注:数组无数量限制

引入 tableMerge 模块即可

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Speed up writing to files

I've profiled some legacy code I've inherited with cProfile. There were a bunch of changes I've already made that have helped (like using simplejson's C extensions!).

Basically this script is exporting data from one 以 Fixed Time 模式进行交易 system to an ASCII fixed-width file. Each row is a record, and it has many values. Each line is 7158 characters and contains a ton of spaces. The total record count is 1.5 million records. Each row is generated one at a time, and takes a while (5-10 rows a second).

As each row is generated 以 Fixed Time 模式进行交易 it's written to disk as simply 以 Fixed Time 模式进行交易 as possible. The profiling indicates that about 19-20% of the total time is spent in file.write() . For a test case of 1,500 rows that's 20 seconds. I'd like to reduce that number.

Now it seems the next win will be reducing the amount of time spent writing to disk. I'd like to reduce it, if possible. I can keep a cache of records in memory, but I can't wait until the end and dump it all at once.

My first thought would be to keep 以 Fixed Time 模式进行交易 以 Fixed Time 模式进行交易 a cache of records in a list and write them out in batches. Would that be faster? Something like:

My second 以 Fixed Time 模式进行交易 thought would be to use another thread, but that makes me want to die inside.