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pythondev | help | Effectively it takes the data, converts to JSON, does a load of logic across the report to create dictionaries with all relevant information and then converts those to a dataframe for further analysis & formatting. The end output is then an excel workbook with multiple tabs | 2019-02-04T08:22:16.805500 | Waldo | pythondev_help_Waldo_2019-02-04T08:22:16.805500 | 1,549,268,536.8055 | 6,421 |
pythondev | help | ok, I’ve done something similar, but had to use a async task job to do that, because report generation took about 5 minutes total with about 4:50 of that building the excel file | 2019-02-04T08:23:16.806600 | Hiroko | pythondev_help_Hiroko_2019-02-04T08:23:16.806600 | 1,549,268,596.8066 | 6,422 |
pythondev | help | I do get crashes if the date range is too long and that is where threading may have to come in to play to split the data range i.e. if over 3 months split in to one month per request and thread the requests | 2019-02-04T08:24:03.808000 | Waldo | pythondev_help_Waldo_2019-02-04T08:24:03.808000 | 1,549,268,643.808 | 6,423 |
pythondev | help | really? :disappointed: I didn’t have to worry about that | 2019-02-04T08:24:47.808300 | Hiroko | pythondev_help_Hiroko_2019-02-04T08:24:47.808300 | 1,549,268,687.8083 | 6,424 |
pythondev | help | anyway, the simplest way you could do it is with a cronjob and python script | 2019-02-04T08:25:16.808800 | Hiroko | pythondev_help_Hiroko_2019-02-04T08:25:16.808800 | 1,549,268,716.8088 | 6,425 |
pythondev | help | the report would execute over a specific interval, say once a day at midnight | 2019-02-04T08:25:42.809400 | Hiroko | pythondev_help_Hiroko_2019-02-04T08:25:42.809400 | 1,549,268,742.8094 | 6,426 |
pythondev | help | So I have already got multiple reports running at their required time intervals however we are re-working how we recognise revenue therefore instead of looking at order tabel look at invoice table and credit table and get the Net for a given day | 2019-02-04T08:26:56.810900 | Waldo | pythondev_help_Waldo_2019-02-04T08:26:56.810900 | 1,549,268,816.8109 | 6,427 |
pythondev | help | To add more confusion in the mix the timestamps on the database are UTC, the server is set to UTC and we report on PST timezone (-8 hours) | 2019-02-04T08:27:39.811800 | Waldo | pythondev_help_Waldo_2019-02-04T08:27:39.811800 | 1,549,268,859.8118 | 6,428 |
pythondev | help | oh boy | 2019-02-04T08:28:12.812000 | Hiroko | pythondev_help_Hiroko_2019-02-04T08:28:12.812000 | 1,549,268,892.812 | 6,429 |
pythondev | help | how much python experience do you have? | 2019-02-04T08:28:23.812400 | Hiroko | pythondev_help_Hiroko_2019-02-04T08:28:23.812400 | 1,549,268,903.8124 | 6,430 |
pythondev | help | mmm | 2019-02-04T08:31:43.812600 | Waldo | pythondev_help_Waldo_2019-02-04T08:31:43.812600 | 1,549,269,103.8126 | 6,431 |
pythondev | help | Couple of years on and off of tinkering and automating tasks | 2019-02-04T08:32:08.813200 | Waldo | pythondev_help_Waldo_2019-02-04T08:32:08.813200 | 1,549,269,128.8132 | 6,432 |
pythondev | help | Pretty solid understanding of core concepts | 2019-02-04T08:32:19.813600 | Waldo | pythondev_help_Waldo_2019-02-04T08:32:19.813600 | 1,549,269,139.8136 | 6,433 |
pythondev | help | alright. that makes things a little easier | 2019-02-04T08:33:39.813900 | Hiroko | pythondev_help_Hiroko_2019-02-04T08:33:39.813900 | 1,549,269,219.8139 | 6,434 |
pythondev | help | so, xslxwriter is a great package for writing excel files | 2019-02-04T08:33:50.814300 | Hiroko | pythondev_help_Hiroko_2019-02-04T08:33:50.814300 | 1,549,269,230.8143 | 6,435 |
pythondev | help | oh sorry - my question was not so much about the how | 2019-02-04T08:34:04.814800 | Waldo | pythondev_help_Waldo_2019-02-04T08:34:04.814800 | 1,549,269,244.8148 | 6,436 |
pythondev | help | more about some of the why with report discrepancies | 2019-02-04T08:34:21.815200 | Waldo | pythondev_help_Waldo_2019-02-04T08:34:21.815200 | 1,549,269,261.8152 | 6,437 |
pythondev | help | Pandas can handle the excel writing easily with the ExcelWriter | 2019-02-04T08:34:53.815700 | Waldo | pythondev_help_Waldo_2019-02-04T08:34:53.815700 | 1,549,269,293.8157 | 6,438 |
pythondev | help | Everything is 'working' however when I do a daily breakdown for Jan there is one day that is showing c. 35% less revenue than what Magento is reporting | 2019-02-04T08:35:33.816500 | Waldo | pythondev_help_Waldo_2019-02-04T08:35:33.816500 | 1,549,269,333.8165 | 6,439 |
pythondev | help | I guess this is more focusing on nuances of Magento data structure | 2019-02-04T08:36:24.816900 | Waldo | pythondev_help_Waldo_2019-02-04T08:36:24.816900 | 1,549,269,384.8169 | 6,440 |
pythondev | help | Bu the above context also explains the moving parts | 2019-02-04T08:36:43.817300 | Waldo | pythondev_help_Waldo_2019-02-04T08:36:43.817300 | 1,549,269,403.8173 | 6,441 |
pythondev | help | makes sense | 2019-02-04T08:37:51.817800 | Hiroko | pythondev_help_Hiroko_2019-02-04T08:37:51.817800 | 1,549,269,471.8178 | 6,442 |
pythondev | help | but the why can be linked tightly with the how | 2019-02-04T08:38:05.818100 | Hiroko | pythondev_help_Hiroko_2019-02-04T08:38:05.818100 | 1,549,269,485.8181 | 6,443 |
pythondev | help | Yeah, appreciate that | 2019-02-04T08:39:22.818400 | Waldo | pythondev_help_Waldo_2019-02-04T08:39:22.818400 | 1,549,269,562.8184 | 6,444 |
pythondev | help | I think since sounding it out a little it is a case of printing out line by line what the script is doing and debugging where possible | 2019-02-04T08:39:45.819000 | Waldo | pythondev_help_Waldo_2019-02-04T08:39:45.819000 | 1,549,269,585.819 | 6,445 |
pythondev | help | My assumption was there may have been an error with the data it was using to run the analysis (i.e. missing invoices) but they have all been confirmed to be correct | 2019-02-04T08:40:41.819900 | Waldo | pythondev_help_Waldo_2019-02-04T08:40:41.819900 | 1,549,269,641.8199 | 6,446 |
pythondev | help | so line by line it is and if there is anything more specific I will shout again! | 2019-02-04T08:40:54.820300 | Waldo | pythondev_help_Waldo_2019-02-04T08:40:54.820300 | 1,549,269,654.8203 | 6,447 |
pythondev | help | good luck :slightly_smiling_face: | 2019-02-04T08:41:07.820500 | Hiroko | pythondev_help_Hiroko_2019-02-04T08:41:07.820500 | 1,549,269,667.8205 | 6,448 |
pythondev | help | haha thanks and appreciate the sound board <@Hiroko> | 2019-02-04T08:41:18.820800 | Waldo | pythondev_help_Waldo_2019-02-04T08:41:18.820800 | 1,549,269,678.8208 | 6,449 |
pythondev | help | :rubberduck: :smile: | 2019-02-04T08:41:53.821000 | Hiroko | pythondev_help_Hiroko_2019-02-04T08:41:53.821000 | 1,549,269,713.821 | 6,450 |
pythondev | help | indeed! We all need a rubber duck from time to time | 2019-02-04T08:42:13.821300 | Waldo | pythondev_help_Waldo_2019-02-04T08:42:13.821300 | 1,549,269,733.8213 | 6,451 |
pythondev | help | Well most of the time for me as working in silo on most of this stuff!! | 2019-02-04T08:42:23.821600 | Waldo | pythondev_help_Waldo_2019-02-04T08:42:23.821600 | 1,549,269,743.8216 | 6,452 |
pythondev | help | do you have others in house to bounce ideas off of? | 2019-02-04T08:42:42.822200 | Hiroko | pythondev_help_Hiroko_2019-02-04T08:42:42.822200 | 1,549,269,762.8222 | 6,453 |
pythondev | help | nope - startup business right now | 2019-02-04T08:43:03.822900 | Waldo | pythondev_help_Waldo_2019-02-04T08:43:03.822900 | 1,549,269,783.8229 | 6,454 |
pythondev | help | I used to work as the sole dev in a silo on a django project, and it did feel isolating at times, which is why I had to expand online connections | 2019-02-04T08:43:04.823000 | Hiroko | pythondev_help_Hiroko_2019-02-04T08:43:04.823000 | 1,549,269,784.823 | 6,455 |
pythondev | help | My job is actually operations and a lot of this is automating management reporting so we can focus on decisions not collating data | 2019-02-04T08:43:33.823700 | Waldo | pythondev_help_Waldo_2019-02-04T08:43:33.823700 | 1,549,269,813.8237 | 6,456 |
pythondev | help | makes sense | 2019-02-04T08:43:46.824200 | Hiroko | pythondev_help_Hiroko_2019-02-04T08:43:46.824200 | 1,549,269,826.8242 | 6,457 |
pythondev | help | hence why I find this group to be an amazing shoulder to cry on! | 2019-02-04T08:43:56.824800 | Waldo | pythondev_help_Waldo_2019-02-04T08:43:56.824800 | 1,549,269,836.8248 | 6,458 |
pythondev | help | would integrating something like new relic or datadog be helpful? | 2019-02-04T08:44:14.825300 | Hiroko | pythondev_help_Hiroko_2019-02-04T08:44:14.825300 | 1,549,269,854.8253 | 6,459 |
pythondev | help | my teammate is 99% JS which is heart breaking... "But it can do that.. no! It can't, not easily" (recent convo around `return ...` before finishing a function in flask, it just can't happen | 2019-02-04T08:44:44.826400 | Vanita | pythondev_help_Vanita_2019-02-04T08:44:44.826400 | 1,549,269,884.8264 | 6,460 |
pythondev | help | I had the joys of working with a front end guy at a hackathon that clearly was not comfortable with nth child selection in CSS so ended up pretty much writing the whole view logic in the function | 2019-02-04T08:46:10.827600 | Waldo | pythondev_help_Waldo_2019-02-04T08:46:10.827600 | 1,549,269,970.8276 | 6,461 |
pythondev | help | bet you’re glad you won’t have to worry about maintaining that :smile: | 2019-02-04T08:47:38.828000 | Hiroko | pythondev_help_Hiroko_2019-02-04T08:47:38.828000 | 1,549,270,058.828 | 6,462 |
pythondev | help | I learnt quickly at hackathons no one cares as long as it lasts the demo | 2019-02-04T08:49:00.828600 | Waldo | pythondev_help_Waldo_2019-02-04T08:49:00.828600 | 1,549,270,140.8286 | 6,463 |
pythondev | help | which… kinda explains react’s initial SSR :smile: | 2019-02-04T08:56:02.829000 | Hiroko | pythondev_help_Hiroko_2019-02-04T08:56:02.829000 | 1,549,270,562.829 | 6,464 |
pythondev | help | it was originally spawned from a FB hackathon, and stayed pretty much an operational hack throughout all of v15. 16 brought alot of perf improvements in that regard | 2019-02-04T08:56:43.829800 | Hiroko | pythondev_help_Hiroko_2019-02-04T08:56:43.829800 | 1,549,270,603.8298 | 6,465 |
pythondev | help | >I used to work as the sole dev in a silo on a django project, and it did feel isolating at times, which is why I had to expand online connections
I'm the sole dev right now on a django-backed web product, and it feels isolating, so that's why I've entered this group | 2019-02-04T09:04:41.831500 | Conrad | pythondev_help_Conrad_2019-02-04T09:04:41.831500 | 1,549,271,081.8315 | 6,466 |
pythondev | help | Also found my issue - dummy here was not multiplying item cost by qty ordered as assumed each item was a separate entry in an item list for the invoice! | 2019-02-04T09:04:48.831800 | Waldo | pythondev_help_Waldo_2019-02-04T09:04:48.831800 | 1,549,271,088.8318 | 6,467 |
pythondev | help | we have hired a dev and he joins month-end, but I wasn't too keen on that guy. the guy we wanted refused the offer at the last stage | 2019-02-04T09:05:21.832900 | Conrad | pythondev_help_Conrad_2019-02-04T09:05:21.832900 | 1,549,271,121.8329 | 6,468 |
pythondev | help | Let's hope he is not on this group! | 2019-02-04T09:05:40.833500 | Waldo | pythondev_help_Waldo_2019-02-04T09:05:40.833500 | 1,549,271,140.8335 | 6,469 |
pythondev | help | <@Conrad> oh boy. fun times. that’s why I came here, because everyone else in the shop was C#/Sitecore/angular, and I was python/django/react | 2019-02-04T09:05:49.833900 | Hiroko | pythondev_help_Hiroko_2019-02-04T09:05:49.833900 | 1,549,271,149.8339 | 6,470 |
pythondev | help | so not too much overlap | 2019-02-04T09:05:56.834200 | Hiroko | pythondev_help_Hiroko_2019-02-04T09:05:56.834200 | 1,549,271,156.8342 | 6,471 |
pythondev | help | hahaha well he might be, and it might hurt to read this, but he knows his capability is not the best it could be, which is what I promised to him would increase a lot if he works here in the interview | 2019-02-04T09:06:27.835000 | Conrad | pythondev_help_Conrad_2019-02-04T09:06:27.835000 | 1,549,271,187.835 | 6,472 |
pythondev | help | <@Waldo> good job, not bad for early Monday :smile: | 2019-02-04T09:06:32.835200 | Hiroko | pythondev_help_Hiroko_2019-02-04T09:06:32.835200 | 1,549,271,192.8352 | 6,473 |
pythondev | help | well, late for you :slightly_smiling_face: I’m just starting the day | 2019-02-04T09:06:45.835800 | Hiroko | pythondev_help_Hiroko_2019-02-04T09:06:45.835800 | 1,549,271,205.8358 | 6,474 |
pythondev | help | I'm just happy to have folks in EU time that are into Python | 2019-02-04T09:06:55.836100 | Vanita | pythondev_help_Vanita_2019-02-04T09:06:55.836100 | 1,549,271,215.8361 | 6,475 |
pythondev | help | <@Hiroko> C# is nice. I started out in C# in college and it was my first irc channel | 2019-02-04T09:06:57.836300 | Conrad | pythondev_help_Conrad_2019-02-04T09:06:57.836300 | 1,549,271,217.8363 | 6,476 |
pythondev | help | agreed, I started out in java, so lots of similarities | 2019-02-04T09:07:13.836700 | Hiroko | pythondev_help_Hiroko_2019-02-04T09:07:13.836700 | 1,549,271,233.8367 | 6,477 |
pythondev | help | but not too much when you’re quite literally 8 years out of date and having to pay for extended support | 2019-02-04T09:07:32.837300 | Hiroko | pythondev_help_Hiroko_2019-02-04T09:07:32.837300 | 1,549,271,252.8373 | 6,478 |
pythondev | help | which was the case with the other team’s sitecore platform | 2019-02-04T09:07:51.837700 | Hiroko | pythondev_help_Hiroko_2019-02-04T09:07:51.837700 | 1,549,271,271.8377 | 6,479 |
pythondev | help | there’s no Ireland flag? doh :disappointed: | 2019-02-04T09:07:55.837800 | Vanita | pythondev_help_Vanita_2019-02-04T09:07:55.837800 | 1,549,271,275.8378 | 6,480 |
pythondev | help | :flag-ie: | 2019-02-04T09:08:01.838000 | Vanita | pythondev_help_Vanita_2019-02-04T09:08:01.838000 | 1,549,271,281.838 | 6,481 |
pythondev | help | ah | 2019-02-04T09:08:02.838200 | Vanita | pythondev_help_Vanita_2019-02-04T09:08:02.838200 | 1,549,271,282.8382 | 6,482 |
pythondev | help | there it is | 2019-02-04T09:08:05.838500 | Waldo | pythondev_help_Waldo_2019-02-04T09:08:05.838500 | 1,549,271,285.8385 | 6,483 |
pythondev | help | 8 years | 2019-02-04T09:08:33.839000 | Conrad | pythondev_help_Conrad_2019-02-04T09:08:33.839000 | 1,549,271,313.839 | 6,484 |
pythondev | help | i spent a fair chunk of my twenties hanging out with a guy called Dave Edwards strangely | 2019-02-04T09:08:36.839300 | Vanita | pythondev_help_Vanita_2019-02-04T09:08:36.839300 | 1,549,271,316.8393 | 6,485 |
pythondev | help | ouch | 2019-02-04T09:08:37.839500 | Conrad | pythondev_help_Conrad_2019-02-04T09:08:37.839500 | 1,549,271,317.8395 | 6,486 |
pythondev | help | Was he overly dependent on beer in his 20s? | 2019-02-04T09:08:59.839700 | Waldo | pythondev_help_Waldo_2019-02-04T09:08:59.839700 | 1,549,271,339.8397 | 6,487 |
pythondev | help | half head Dave. He shaved one side of his head and alternated long sleeve on one side, short on the other and long trousers on one side, shorts on the other | 2019-02-04T09:09:07.840100 | Vanita | pythondev_help_Vanita_2019-02-04T09:09:07.840100 | 1,549,271,347.8401 | 6,488 |
pythondev | help | rode a unicycle everywhere | 2019-02-04T09:09:17.840400 | Vanita | pythondev_help_Vanita_2019-02-04T09:09:17.840400 | 1,549,271,357.8404 | 6,489 |
pythondev | help | haha ok definitely not me!! | 2019-02-04T09:09:22.840700 | Waldo | pythondev_help_Waldo_2019-02-04T09:09:22.840700 | 1,549,271,362.8407 | 6,490 |
pythondev | help | Got a full head of hair / 100% bald now? | 2019-02-04T09:09:38.841200 | Waldo | pythondev_help_Waldo_2019-02-04T09:09:38.841200 | 1,549,271,378.8412 | 6,491 |
pythondev | help | yeah. so, if you’re not aware, sitecore is a proprietary cms in c#, costs about 25k or so per seat for the license. each dev needs a license. then you need the license for MSSQL, because the free version won’t work well. | 2019-02-04T09:09:47.841600 | Hiroko | pythondev_help_Hiroko_2019-02-04T09:09:47.841600 | 1,549,271,387.8416 | 6,492 |
pythondev | help | so, that company was three major and however many minor versions out of date when I left, and about four upgrade projects failed miserably | 2019-02-04T09:10:29.842400 | Hiroko | pythondev_help_Hiroko_2019-02-04T09:10:29.842400 | 1,549,271,429.8424 | 6,493 |
pythondev | help | you know things are interesting when you have highly competent contractors and consultants scratching their heads at how the project is set up | 2019-02-04T09:11:03.843100 | Hiroko | pythondev_help_Hiroko_2019-02-04T09:11:03.843100 | 1,549,271,463.8431 | 6,494 |
pythondev | help | nicely escaped | 2019-02-04T09:16:28.843400 | Conrad | pythondev_help_Conrad_2019-02-04T09:16:28.843400 | 1,549,271,788.8434 | 6,495 |
pythondev | help | haven’t a breeze. Last night I remember talking to him we had buckfast and pints of jaeger and smirnoff ice. I’m sure he’s still around somewhere | 2019-02-04T09:30:07.843500 | Vanita | pythondev_help_Vanita_2019-02-04T09:30:07.843500 | 1,549,272,607.8435 | 6,496 |
pythondev | help | I'm getting pycurl not installed problem | 2019-02-04T09:47:24.844200 | Kayleen | pythondev_help_Kayleen_2019-02-04T09:47:24.844200 | 1,549,273,644.8442 | 6,497 |
pythondev | help | In django | 2019-02-04T09:47:53.844600 | Kayleen | pythondev_help_Kayleen_2019-02-04T09:47:53.844600 | 1,549,273,673.8446 | 6,498 |
pythondev | help | Knowing how to ask a good question is a highly invaluable skill that will benefit you greatly in any career. <https://stackoverflow.com/help/how-to-ask> is a good collection of suggestions and strategies to help you structure and phrase your question to make it easier for those here to understand your problem and help ... | 2019-02-04T09:49:39.844700 | Leana | pythondev_help_Leana_2019-02-04T09:49:39.844700 | 1,549,273,779.8447 | 6,499 |
pythondev | help | <@Leana> I am a pretty bad offender however someone asked me the other day what I found most useful when learning to code - how to know what you are trying to ask | 2019-02-04T10:00:41.845700 | Waldo | pythondev_help_Waldo_2019-02-04T10:00:41.845700 | 1,549,274,441.8457 | 6,500 |
pythondev | help | knowing how to ask a question, yeah. | 2019-02-04T10:01:17.846200 | Hiroko | pythondev_help_Hiroko_2019-02-04T10:01:17.846200 | 1,549,274,477.8462 | 6,501 |
pythondev | help | sometimes you’re rubber-ducking yourself when you structure a question | 2019-02-04T10:01:30.846600 | Hiroko | pythondev_help_Hiroko_2019-02-04T10:01:30.846600 | 1,549,274,490.8466 | 6,502 |
pythondev | help | I don't know, I'm just a bot :robot_face: | 2019-02-04T10:01:59.846700 | Leana | pythondev_help_Leana_2019-02-04T10:01:59.846700 | 1,549,274,519.8467 | 6,503 |
pythondev | help | haha also should have realised that was a bot :face_with_hand_over_mouth: | 2019-02-04T10:07:41.847400 | Waldo | pythondev_help_Waldo_2019-02-04T10:07:41.847400 | 1,549,274,861.8474 | 6,504 |
pythondev | help | jupyter displays `self._repr_html_` | 2019-02-04T10:11:14.847500 | Bethany | pythondev_help_Bethany_2019-02-04T10:11:14.847500 | 1,549,275,074.8475 | 6,505 |
pythondev | help | and I think fill fallback to `__repr__` | 2019-02-04T10:11:33.847800 | Bethany | pythondev_help_Bethany_2019-02-04T10:11:33.847800 | 1,549,275,093.8478 | 6,506 |
pythondev | help | How to filter outliers in time series data ? I am using IQR method, is there any other method ? | 2019-02-04T11:21:05.849500 | Ervin | pythondev_help_Ervin_2019-02-04T11:21:05.849500 | 1,549,279,265.8495 | 6,507 |
pythondev | help | <https://www.youtube.com/channel/UCFBKSRHPBO8NGN_2AmliCoQ>
It is a tech channel where you can find videos on programming. Mainly we make videos on ML,AI and Cloud. Anybody want to contribute to us please contact us. Please subscribe the channel so that we can teach people free of cost. Your one subscribe can help a lot... | 2019-02-04T11:39:20.849700 | Paulette | pythondev_help_Paulette_2019-02-04T11:39:20.849700 | 1,549,280,360.8497 | 6,508 |
pythondev | help | so this topic/question was covered a few days back, but what would be the fastest method of iterrating through specifically 2,797,165 lines of text? I'm using pd.read_csv and noticed it takes while for that line to execute. So doe's read_csv load/read the entire file before storing the information into any variable? | 2019-02-04T12:05:31.851900 | Nenita | pythondev_help_Nenita_2019-02-04T12:05:31.851900 | 1,549,281,931.8519 | 6,509 |
pythondev | help | None | 2019-02-04T12:06:54.852100 | Nenita | pythondev_help_Nenita_2019-02-04T12:06:54.852100 | 1,549,282,014.8521 | 6,510 |
pythondev | help | if there’s a noticeable lag between the read and iter, then that’s the data load time | 2019-02-04T12:07:24.852900 | Hiroko | pythondev_help_Hiroko_2019-02-04T12:07:24.852900 | 1,549,282,044.8529 | 6,511 |
pythondev | help | an alternative could be for you to pickle the data, or use <https://www.h5py.org/> | 2019-02-04T12:08:14.853600 | Hiroko | pythondev_help_Hiroko_2019-02-04T12:08:14.853600 | 1,549,282,094.8536 | 6,512 |
pythondev | help | how would pickling the data make a difference? I've worked with pickle, just not necessarily for that. | 2019-02-04T12:09:27.854300 | Nenita | pythondev_help_Nenita_2019-02-04T12:09:27.854300 | 1,549,282,167.8543 | 6,513 |
pythondev | help | basically, the problem is you’re taking a while to load the data | 2019-02-04T12:11:28.855900 | Hiroko | pythondev_help_Hiroko_2019-02-04T12:11:28.855900 | 1,549,282,288.8559 | 6,514 |
pythondev | help | well, more acurately | 2019-02-04T12:11:43.856500 | Hiroko | pythondev_help_Hiroko_2019-02-04T12:11:43.856500 | 1,549,282,303.8565 | 6,515 |
pythondev | help | loading the data, and you’re going through 2.7 million lines | 2019-02-04T12:11:58.857100 | Hiroko | pythondev_help_Hiroko_2019-02-04T12:11:58.857100 | 1,549,282,318.8571 | 6,516 |
pythondev | help | line by line by line | 2019-02-04T12:12:02.857400 | Hiroko | pythondev_help_Hiroko_2019-02-04T12:12:02.857400 | 1,549,282,322.8574 | 6,517 |
pythondev | help | dd82 will likely be able to provide better help, but some other (non-python) things to maybe check:
1. I THINK read_csv loads the data into memory. Maybe check your memory...see if it's paging some of it?
2. Is the source on a spinning drive?
3. Is the paging file on a spinning drive?
4. In the system monitor showing ... | 2019-02-04T12:13:33.858900 | Marth | pythondev_help_Marth_2019-02-04T12:13:33.858900 | 1,549,282,413.8589 | 6,518 |
pythondev | help | <@Nenita> <https://medium.com/@jerilkuriakose/using-hdf5-with-python-6c5242d08773> | 2019-02-04T12:17:20.859700 | Hiroko | pythondev_help_Hiroko_2019-02-04T12:17:20.859700 | 1,549,282,640.8597 | 6,519 |
pythondev | help | yea read_csv definitely stores it into memory. mem usage doesn't spike too bad, but any lower end pc may hate having to load that big of a file everytime. | 2019-02-04T12:18:04.860500 | Nenita | pythondev_help_Nenita_2019-02-04T12:18:04.860500 | 1,549,282,684.8605 | 6,520 |
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