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pythondev | help | I have the json file c:\temp\nba\counties.json | 2019-04-13T09:59:23.221100 | Gia | pythondev_help_Gia_2019-04-13T09:59:23.221100 | 1,555,149,563.2211 | 18,521 |
pythondev | help | data=f.read() | 2019-04-13T09:59:23.221200 | Erika | pythondev_help_Erika_2019-04-13T09:59:23.221200 | 1,555,149,563.2212 | 18,522 |
pythondev | help | d=json.loads(data) | 2019-04-13T09:59:32.221500 | Erika | pythondev_help_Erika_2019-04-13T09:59:32.221500 | 1,555,149,572.2215 | 18,523 |
pythondev | help | Oh | 2019-04-13T09:59:33.221700 | Gia | pythondev_help_Gia_2019-04-13T09:59:33.221700 | 1,555,149,573.2217 | 18,524 |
pythondev | help | Let me try that | 2019-04-13T09:59:40.222000 | Gia | pythondev_help_Gia_2019-04-13T09:59:40.222000 | 1,555,149,580.222 | 18,525 |
pythondev | help | That is for Python | 2019-04-13T09:59:46.222400 | Gia | pythondev_help_Gia_2019-04-13T09:59:46.222400 | 1,555,149,586.2224 | 18,526 |
pythondev | help | df=pd.DataFrame(d) | 2019-04-13T09:59:55.222700 | Erika | pythondev_help_Erika_2019-04-13T09:59:55.222700 | 1,555,149,595.2227 | 18,527 |
pythondev | help | Or R | 2019-04-13T09:59:55.222800 | Gia | pythondev_help_Gia_2019-04-13T09:59:55.222800 | 1,555,149,595.2228 | 18,528 |
pythondev | help | that's python lol | 2019-04-13T10:00:01.223000 | Erika | pythondev_help_Erika_2019-04-13T10:00:01.223000 | 1,555,149,601.223 | 18,529 |
pythondev | help | Ok | 2019-04-13T10:00:05.223300 | Gia | pythondev_help_Gia_2019-04-13T10:00:05.223300 | 1,555,149,605.2233 | 18,530 |
pythondev | help | Did you see that counties.json file | 2019-04-13T10:00:30.224000 | Gia | pythondev_help_Gia_2019-04-13T10:00:30.224000 | 1,555,149,630.224 | 18,531 |
pythondev | help | here is the full code:
import pandas as pd
import json
with open('countries.jon,'r') as f:
data=f.read()
d=json.loads(data)
df=pd.DataFrame(d) | 2019-04-13T10:00:52.224500 | Erika | pythondev_help_Erika_2019-04-13T10:00:52.224500 | 1,555,149,652.2245 | 18,532 |
pythondev | help | depending on whether powerbi wants that in array or dataframe, jsut change the last step | 2019-04-13T10:01:57.225000 | Erika | pythondev_help_Erika_2019-04-13T10:01:57.225000 | 1,555,149,717.225 | 18,533 |
pythondev | help | It probably dataframe | 2019-04-13T10:02:15.225600 | Gia | pythondev_help_Gia_2019-04-13T10:02:15.225600 | 1,555,149,735.2256 | 18,534 |
pythondev | help | you want to paste that code in PowerQuery, just like you would paste SQL code in custom query | 2019-04-13T10:02:23.225900 | Erika | pythondev_help_Erika_2019-04-13T10:02:23.225900 | 1,555,149,743.2259 | 18,535 |
pythondev | help | is it hooked up to a SQL 2017 database? MSSQL? | 2019-04-13T10:02:46.226500 | Erika | pythondev_help_Erika_2019-04-13T10:02:46.226500 | 1,555,149,766.2265 | 18,536 |
pythondev | help | No | 2019-04-13T10:03:50.227300 | Gia | pythondev_help_Gia_2019-04-13T10:03:50.227300 | 1,555,149,830.2273 | 18,537 |
pythondev | help | anyway it would be better to rather make the ETL process run in native python, populate a table and then hidrate it | 2019-04-13T10:03:55.227500 | Erika | pythondev_help_Erika_2019-04-13T10:03:55.227500 | 1,555,149,835.2275 | 18,538 |
pythondev | help | Ahh yea | 2019-04-13T10:04:06.227900 | Gia | pythondev_help_Gia_2019-04-13T10:04:06.227900 | 1,555,149,846.2279 | 18,539 |
pythondev | help | I should create a sql table | 2019-04-13T10:04:10.228100 | Gia | pythondev_help_Gia_2019-04-13T10:04:10.228100 | 1,555,149,850.2281 | 18,540 |
pythondev | help | yeah :slightly_smiling_face: | 2019-04-13T10:04:15.228400 | Erika | pythondev_help_Erika_2019-04-13T10:04:15.228400 | 1,555,149,855.2284 | 18,541 |
pythondev | help | And use python native | 2019-04-13T10:04:17.228600 | Gia | pythondev_help_Gia_2019-04-13T10:04:17.228600 | 1,555,149,857.2286 | 18,542 |
pythondev | help | I do have psycharm on my laptop | 2019-04-13T10:04:26.229000 | Gia | pythondev_help_Gia_2019-04-13T10:04:26.229000 | 1,555,149,866.229 | 18,543 |
pythondev | help | I never done that before | 2019-04-13T10:04:30.229300 | Gia | pythondev_help_Gia_2019-04-13T10:04:30.229300 | 1,555,149,870.2293 | 18,544 |
pythondev | help | be careful of trying to hammer a nail with a saw | 2019-04-13T10:04:33.229400 | Erika | pythondev_help_Erika_2019-04-13T10:04:33.229400 | 1,555,149,873.2294 | 18,545 |
pythondev | help | Oh I see | 2019-04-13T10:04:44.229800 | Gia | pythondev_help_Gia_2019-04-13T10:04:44.229800 | 1,555,149,884.2298 | 18,546 |
pythondev | help | PowerBI is meant to be hooked up to a relational data soure | 2019-04-13T10:05:01.230700 | Erika | pythondev_help_Erika_2019-04-13T10:05:01.230700 | 1,555,149,901.2307 | 18,547 |
pythondev | help | *source | 2019-04-13T10:05:03.230900 | Erika | pythondev_help_Erika_2019-04-13T10:05:03.230900 | 1,555,149,903.2309 | 18,548 |
pythondev | help | This is only giving me counties names, can I use some fips code to match to a state | 2019-04-13T10:05:12.231600 | Gia | pythondev_help_Gia_2019-04-13T10:05:12.231600 | 1,555,149,912.2316 | 18,549 |
pythondev | help | Oh yea | 2019-04-13T10:05:18.231900 | Gia | pythondev_help_Gia_2019-04-13T10:05:18.231900 | 1,555,149,918.2319 | 18,550 |
pythondev | help | I noticed that I spent until 10 am last night | 2019-04-13T10:05:25.232300 | Gia | pythondev_help_Gia_2019-04-13T10:05:25.232300 | 1,555,149,925.2323 | 18,551 |
pythondev | help | Fighting with power bi | 2019-04-13T10:05:30.232600 | Gia | pythondev_help_Gia_2019-04-13T10:05:30.232600 | 1,555,149,930.2326 | 18,552 |
pythondev | help | trying to build a pipeline from non-relational straight to powerbi will provide too much of a technical debt | 2019-04-13T10:05:30.232700 | Erika | pythondev_help_Erika_2019-04-13T10:05:30.232700 | 1,555,149,930.2327 | 18,553 |
pythondev | help | And json | 2019-04-13T10:05:31.232900 | Gia | pythondev_help_Gia_2019-04-13T10:05:31.232900 | 1,555,149,931.2329 | 18,554 |
pythondev | help | and as soon as the json becomes nested, your pipeline fails | 2019-04-13T10:05:49.233200 | Erika | pythondev_help_Erika_2019-04-13T10:05:49.233200 | 1,555,149,949.2332 | 18,555 |
pythondev | help | Yea if you saw this file it is nested | 2019-04-13T10:05:59.233500 | Gia | pythondev_help_Gia_2019-04-13T10:05:59.233500 | 1,555,149,959.2335 | 18,556 |
pythondev | help | ah yeah then you don't want that | 2019-04-13T10:06:12.233800 | Erika | pythondev_help_Erika_2019-04-13T10:06:12.233800 | 1,555,149,972.2338 | 18,557 |
pythondev | help | you need an intermediary step to flatten | 2019-04-13T10:06:22.234300 | Erika | pythondev_help_Erika_2019-04-13T10:06:22.234300 | 1,555,149,982.2343 | 18,558 |
pythondev | help | Opening pycharm | 2019-04-13T10:06:26.234600 | Gia | pythondev_help_Gia_2019-04-13T10:06:26.234600 | 1,555,149,986.2346 | 18,559 |
pythondev | help | Can I have python create a csv file | 2019-04-13T10:06:40.235300 | Gia | pythondev_help_Gia_2019-04-13T10:06:40.235300 | 1,555,150,000.2353 | 18,560 |
pythondev | help | Oh I forgot I got sql express on this laptop | 2019-04-13T10:06:56.235800 | Gia | pythondev_help_Gia_2019-04-13T10:06:56.235800 | 1,555,150,016.2358 | 18,561 |
pythondev | help | if you don't have a db at hand, then unflatten into dataframe and save as csv's with df.to_csv('file.csv') | 2019-04-13T10:07:02.236000 | Erika | pythondev_help_Erika_2019-04-13T10:07:02.236000 | 1,555,150,022.236 | 18,562 |
pythondev | help | Cool | 2019-04-13T10:07:22.236300 | Gia | pythondev_help_Gia_2019-04-13T10:07:22.236300 | 1,555,150,042.2363 | 18,563 |
pythondev | help | but if you are planning to scale this, then you need a db | 2019-04-13T10:07:28.236600 | Erika | pythondev_help_Erika_2019-04-13T10:07:28.236600 | 1,555,150,048.2366 | 18,564 |
pythondev | help | I am opening up pycharm | 2019-04-13T10:07:30.236900 | Gia | pythondev_help_Gia_2019-04-13T10:07:30.236900 | 1,555,150,050.2369 | 18,565 |
pythondev | help | Na this is one time project | 2019-04-13T10:07:39.237300 | Gia | pythondev_help_Gia_2019-04-13T10:07:39.237300 | 1,555,150,059.2373 | 18,566 |
pythondev | help | but if i were you i would try and avoid powerbi without a db | 2019-04-13T10:07:41.237500 | Erika | pythondev_help_Erika_2019-04-13T10:07:41.237500 | 1,555,150,061.2375 | 18,567 |
pythondev | help | Okay I will use sql express | 2019-04-13T10:07:59.237900 | Gia | pythondev_help_Gia_2019-04-13T10:07:59.237900 | 1,555,150,079.2379 | 18,568 |
pythondev | help | what is your main goal? | 2019-04-13T10:08:41.238700 | Erika | pythondev_help_Erika_2019-04-13T10:08:41.238700 | 1,555,150,121.2387 | 18,569 |
pythondev | help | My main goal is this | 2019-04-13T10:08:48.239100 | Gia | pythondev_help_Gia_2019-04-13T10:08:48.239100 | 1,555,150,128.2391 | 18,570 |
pythondev | help | And also a map | 2019-04-13T10:09:25.239600 | Gia | pythondev_help_Gia_2019-04-13T10:09:25.239600 | 1,555,150,165.2396 | 18,571 |
pythondev | help | no more high level please | 2019-04-13T10:09:39.239800 | Erika | pythondev_help_Erika_2019-04-13T10:09:39.239800 | 1,555,150,179.2398 | 18,572 |
pythondev | help | like you would explain to your grandmother | 2019-04-13T10:09:47.240200 | Erika | pythondev_help_Erika_2019-04-13T10:09:47.240200 | 1,555,150,187.2402 | 18,573 |
pythondev | help | Okay | 2019-04-13T10:09:53.240700 | Gia | pythondev_help_Gia_2019-04-13T10:09:53.240700 | 1,555,150,193.2407 | 18,574 |
pythondev | help | then we can go low level from there | 2019-04-13T10:09:54.240800 | Erika | pythondev_help_Erika_2019-04-13T10:09:54.240800 | 1,555,150,194.2408 | 18,575 |
pythondev | help | My end goal is to be able to be able to tell how many knicks fans are in X county | 2019-04-13T10:10:25.241600 | Gia | pythondev_help_Gia_2019-04-13T10:10:25.241600 | 1,555,150,225.2416 | 18,576 |
pythondev | help | who is your audiance? | 2019-04-13T10:10:50.242000 | Erika | pythondev_help_Erika_2019-04-13T10:10:50.242000 | 1,555,150,250.242 | 18,577 |
pythondev | help | you or someone else? | 2019-04-13T10:10:53.242300 | Erika | pythondev_help_Erika_2019-04-13T10:10:53.242300 | 1,555,150,253.2423 | 18,578 |
pythondev | help | My manager | 2019-04-13T10:10:59.242500 | Gia | pythondev_help_Gia_2019-04-13T10:10:59.242500 | 1,555,150,259.2425 | 18,579 |
pythondev | help | It a proof of concept | 2019-04-13T10:11:04.242800 | Gia | pythondev_help_Gia_2019-04-13T10:11:04.242800 | 1,555,150,264.2428 | 18,580 |
pythondev | help | To show what powerbi can do | 2019-04-13T10:11:10.243100 | Gia | pythondev_help_Gia_2019-04-13T10:11:10.243100 | 1,555,150,270.2431 | 18,581 |
pythondev | help | While also probably solving a business thing | 2019-04-13T10:11:25.243500 | Gia | pythondev_help_Gia_2019-04-13T10:11:25.243500 | 1,555,150,285.2435 | 18,582 |
pythondev | help | apologies but I can only help if it is in a personal capacity | 2019-04-13T10:12:16.244700 | Erika | pythondev_help_Erika_2019-04-13T10:12:16.244700 | 1,555,150,336.2447 | 18,583 |
pythondev | help | Ahh yea sorry | 2019-04-13T10:12:28.245200 | Gia | pythondev_help_Gia_2019-04-13T10:12:28.245200 | 1,555,150,348.2452 | 18,584 |
pythondev | help | That fine I totally forgot the rules | 2019-04-13T10:12:36.245700 | Gia | pythondev_help_Gia_2019-04-13T10:12:36.245700 | 1,555,150,356.2457 | 18,585 |
pythondev | help | if it is for your work then we need to speak legalities | 2019-04-13T10:12:36.245800 | Erika | pythondev_help_Erika_2019-04-13T10:12:36.245800 | 1,555,150,356.2458 | 18,586 |
pythondev | help | Yea I can’t say much | 2019-04-13T10:12:47.246100 | Gia | pythondev_help_Gia_2019-04-13T10:12:47.246100 | 1,555,150,367.2461 | 18,587 |
pythondev | help | But I will use pycharm to flat it | 2019-04-13T10:12:55.246600 | Gia | pythondev_help_Gia_2019-04-13T10:12:55.246600 | 1,555,150,375.2466 | 18,588 |
pythondev | help | Thanks for the tips | 2019-04-13T10:13:51.247200 | Gia | pythondev_help_Gia_2019-04-13T10:13:51.247200 | 1,555,150,431.2472 | 18,589 |
pythondev | help | Sorry | 2019-04-13T10:13:52.247300 | Gia | pythondev_help_Gia_2019-04-13T10:13:52.247300 | 1,555,150,432.2473 | 18,590 |
pythondev | help | it's okay :slightly_smiling_face: | 2019-04-13T10:14:01.247700 | Erika | pythondev_help_Erika_2019-04-13T10:14:01.247700 | 1,555,150,441.2477 | 18,591 |
pythondev | help | and pleasure for the tips | 2019-04-13T10:14:04.248100 | Erika | pythondev_help_Erika_2019-04-13T10:14:04.248100 | 1,555,150,444.2481 | 18,592 |
pythondev | help | My Adhd Hyperactive mind forgets that I can’t mix work and personal | 2019-04-13T10:14:17.248800 | Gia | pythondev_help_Gia_2019-04-13T10:14:17.248800 | 1,555,150,457.2488 | 18,593 |
pythondev | help | Life | 2019-04-13T10:14:18.248900 | Gia | pythondev_help_Gia_2019-04-13T10:14:18.248900 | 1,555,150,458.2489 | 18,594 |
pythondev | help | Anyways I should go get my dry cleaning and breakfast and then come back home and just code | 2019-04-13T10:15:09.249600 | Gia | pythondev_help_Gia_2019-04-13T10:15:09.249600 | 1,555,150,509.2496 | 18,595 |
pythondev | help | Until I have a solution before monday | 2019-04-13T10:15:16.249900 | Gia | pythondev_help_Gia_2019-04-13T10:15:16.249900 | 1,555,150,516.2499 | 18,596 |
pythondev | help | Just one last quesiton none work realted | 2019-04-13T10:15:39.250200 | Gia | pythondev_help_Gia_2019-04-13T10:15:39.250200 | 1,555,150,539.2502 | 18,597 |
pythondev | help | Python support mssql right | 2019-04-13T10:15:48.250600 | Gia | pythondev_help_Gia_2019-04-13T10:15:48.250600 | 1,555,150,548.2506 | 18,598 |
pythondev | help | have you used sql server manager before? | 2019-04-13T10:17:24.251200 | Erika | pythondev_help_Erika_2019-04-13T10:17:24.251200 | 1,555,150,644.2512 | 18,599 |
pythondev | help | where you would say "select top 10 * from table with (nolock)" ? | 2019-04-13T10:17:40.251800 | Erika | pythondev_help_Erika_2019-04-13T10:17:40.251800 | 1,555,150,660.2518 | 18,600 |
pythondev | help | Yea I have | 2019-04-13T10:17:50.252000 | Gia | pythondev_help_Gia_2019-04-13T10:17:50.252000 | 1,555,150,670.252 | 18,601 |
pythondev | help | okay now when you execute it in sql server manager | 2019-04-13T10:18:02.252300 | Erika | pythondev_help_Erika_2019-04-13T10:18:02.252300 | 1,555,150,682.2523 | 18,602 |
pythondev | help | you automatically login to the db | 2019-04-13T10:18:13.252700 | Erika | pythondev_help_Erika_2019-04-13T10:18:13.252700 | 1,555,150,693.2527 | 18,603 |
pythondev | help | Yea | 2019-04-13T10:18:17.253000 | Gia | pythondev_help_Gia_2019-04-13T10:18:17.253000 | 1,555,150,697.253 | 18,604 |
pythondev | help | you parse a string to the server | 2019-04-13T10:18:21.253300 | Erika | pythondev_help_Erika_2019-04-13T10:18:21.253300 | 1,555,150,701.2533 | 18,605 |
pythondev | help | the server reads it and spits out the results | 2019-04-13T10:18:29.253600 | Erika | pythondev_help_Erika_2019-04-13T10:18:29.253600 | 1,555,150,709.2536 | 18,606 |
pythondev | help | Yea | 2019-04-13T10:18:34.253900 | Gia | pythondev_help_Gia_2019-04-13T10:18:34.253900 | 1,555,150,714.2539 | 18,607 |
pythondev | help | now in the same way, you can connect to ANY sql server from python | 2019-04-13T10:18:48.254300 | Erika | pythondev_help_Erika_2019-04-13T10:18:48.254300 | 1,555,150,728.2543 | 18,608 |
pythondev | help | and send a string to it | 2019-04-13T10:18:55.254600 | Erika | pythondev_help_Erika_2019-04-13T10:18:55.254600 | 1,555,150,735.2546 | 18,609 |
pythondev | help | the connection is called a *odbc* connection | 2019-04-13T10:19:10.255000 | Erika | pythondev_help_Erika_2019-04-13T10:19:10.255000 | 1,555,150,750.255 | 18,610 |
pythondev | help | you will need pyodbc | 2019-04-13T10:19:17.255200 | Erika | pythondev_help_Erika_2019-04-13T10:19:17.255200 | 1,555,150,757.2552 | 18,611 |
pythondev | help | and look at Microsoft docs on how to set up a odbc connection between your python environment and the SQL server | 2019-04-13T10:19:52.256000 | Erika | pythondev_help_Erika_2019-04-13T10:19:52.256000 | 1,555,150,792.256 | 18,612 |
pythondev | help | Ahh I see | 2019-04-13T10:20:25.256200 | Gia | pythondev_help_Gia_2019-04-13T10:20:25.256200 | 1,555,150,825.2562 | 18,613 |
pythondev | help | Thanks for the tip | 2019-04-13T10:24:02.256800 | Gia | pythondev_help_Gia_2019-04-13T10:24:02.256800 | 1,555,151,042.2568 | 18,614 |
pythondev | help | <#C5CAD2J67|editors> is probably your best bet | 2019-04-13T11:13:16.257300 | Cherish | pythondev_help_Cherish_2019-04-13T11:13:16.257300 | 1,555,153,996.2573 | 18,615 |
pythondev | help | Can someone help me out with a random coding problem? I swear this is easy and I'm just being stupid.
I have dates that are in this format:
`2013.500`
The portion to the left of the `.` is the year. This is good. The portion to the right of the `.` is the percentage into the year, by month. So for example this says we're `50`% through the year, so we'd figure out that that means month 6 of of 12, or June.
I need to write a method to convert that fractional value to the month,. where just the numerical representation of the month is great [1-12]. | 2019-04-13T11:13:51.257600 | Cammie | pythondev_help_Cammie_2019-04-13T11:13:51.257600 | 1,555,154,031.2576 | 18,616 |
pythondev | help | Came up with:
```
def month_decimal_to_index(s: str):
"""Converts the weird encoding deciaml that this data set had to an actual month.
EX: '2013.250' -> 3, for March, the third month of the year
"""
DECIMAL_VALUE_PER_MONTH = 1.00/12
return float('.' + s.split('.')[1])//DECIMAL_VALUE_PER_MONTH + 1 # we reattach the '.' we split on, as it is a decimal and we want to use it
``` | 2019-04-13T11:16:18.257900 | Cammie | pythondev_help_Cammie_2019-04-13T11:16:18.257900 | 1,555,154,178.2579 | 18,617 |
pythondev | help | In what way does your attempt not work? | 2019-04-13T11:35:48.258500 | Raven | pythondev_help_Raven_2019-04-13T11:35:48.258500 | 1,555,155,348.2585 | 18,618 |
pythondev | help | A handy trick is to use the modulus operator to get the fractional part of a float, so `(float(s) % 1) * 12` would give you the month. | 2019-04-13T11:38:10.259700 | Sasha | pythondev_help_Sasha_2019-04-13T11:38:10.259700 | 1,555,155,490.2597 | 18,619 |
pythondev | help | However, the representation is a little weird. If 0.500 is supposed to be June, how is December specified? | 2019-04-13T11:38:44.260300 | Sasha | pythondev_help_Sasha_2019-04-13T11:38:44.260300 | 1,555,155,524.2603 | 18,620 |
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