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with | |
rs as ( | |
select | |
game_pk | |
, event_inning | |
, top_inning_sw | |
, max(bat_score) as bat_score_end_of_inning | |
, sum(event_outs) as event_outs | |
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WITH | |
rs as ( | |
select | |
instr(play_string,',',1,6) as comma_position | |
, play_string | |
from mytable | |
where substr(play_string,1,4)='play' | |
) |
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import json | |
print("Parse start") | |
# http://live.nhl.com/GameData/SeasonSchedule-20152016.json | |
sourcefile = "C:/Users/TOM/DataNHL/original/SeasonSchedule.json" | |
targetfile = "C:/Users/TOM/DataNHL/final/parsed_SeasonSchedule.csv" | |
htmltargetfile = "C:/Users/TOM/DataNHL/final/parsed_SeasonSchedule.htm" | |
header_row='NHL_GAME_ID' \ |
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# this takes a standard csv file and then loads it into a databse | |
# question: what if instead of a csv file, I had an equivalent <table><tr><td> formatted file? | |
sourcefile = "skeleton.csv" | |
dshape = discover(resource(sourcefile)) | |
for game_id in list_game_id: | |
sourcefile = "formatted_{g}.csv".format(g=game_id) | |
with open(sourcefile,'r') as infile: | |
odo(sourcefile, targetfile, dshape=dshape) |
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from bs4 import BeautifulSoup | |
import re | |
print("Parse start") | |
first_game_id = 1 #+665 | |
last_game_id = 668 #-2 | |
season_id = '20152016' | |
subseason_id = '02' |
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# takes 2 seconds to run per infile | |
# source for infile: http://www.nhl.com/scores/htmlreports/20152016/PL020666.HTM | |
from bs4 import BeautifulSoup | |
print("Parse start") | |
first_game_id = 1 #+665 | |
last_game_id = 668 #-2 |
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from bs4 import BeautifulSoup | |
print("Parse start") | |
first_game_id = 1 #+665 | |
last_game_id = 668 #-2 | |
season_id = '20152016' | |
subseason_id = '02' | |
datafile_id = 'RO' |
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print("Parse start") | |
first_game_id = 1 #+665 | |
last_game_id = 668 #-2 | |
subseason_id = '02' | |
datafile_id = 'RO' | |
searchstr1 = '#</td>' | |
searchstr2 = 'Pos</td>' |
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import urllib.request | |
from bs4 import BeautifulSoup | |
print("Parse start") | |
sourcefile = "file:///C:/Users/TOM/PycharmProjects/downloadNHL/datafiles/RO020666_partial.HTM" | |
html = urllib.request.urlopen(sourcefile) | |
soup = BeautifulSoup(html, "lxml") |
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print("Parse start") | |
sourcefile = "C:\\Users\\TOM\\PycharmProjects\\downloadNHL\\datafiles\\schedulebyseason.htm" | |
targetfile = "C:\\Users\\TOM\\PycharmProjects\\downloadNHL\\datafiles\\parsed_schedulebyseason.txt" | |
searchstr = "recap?id=" | |
sample_recstr = "2015020001" | |
reclen = len(sample_recstr) |
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