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kevincolten/merge_weekly_monthy.py

Last active August 29, 2015 14:23
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merge_weekly_monthy.py
import csv
from collections import deque
with open('weekly_stock_trends.csv', 'rb') as f:
reader = csv.reader(f)
weekly_trends = list(reader)
headers = weekly_trends.pop(0)
new_headers = []
for date_range in headers:
new_headers.append(date_range.split(' - ')[0][:-3])
single_months = deque(sorted(list(set(new_headers))))
single_months.rotate(1)
single_months = list(single_months)
monthly_trends = [single_months]
for trend in weekly_trends:
monthly_trend = [trend[0]]
current_month = new_headers[1]
reduce_array = []
for idx, value in enumerate(trend):
if idx is 0:
continue
if current_month != new_headers[idx]:
monthly_trend.append(str(reduce((lambda x, y: int(x) + int(y)), reduce_array)))
current_month = new_headers[idx]
reduce_array = []
reduce_array.append(value)
monthly_trend.append(str(reduce((lambda x, y: int(x) + int(y)), reduce_array)))
monthly_trends.append(monthly_trend)
with open('monthly_stock_trends.csv', 'a') as textfile:
for trend in monthly_trends[1:]:
textfile.write(','.join(trend))
textfile.write('\n')
Raw
stock_gtrends.py
import requests
import json
stocks = [
'ABHI', 'AEGY', 'AGIN', 'AHII', 'AJGH', 'AMBS', 'AMMX', 'AMPG', 'AMZZ', 'ANDI',
'ANSU', 'APRE', 'AQUM', 'ASCC', 'ASKH', 'AVEW', 'AXCG', 'AXLX', 'AXXE', 'AZFL',
'BANJ', 'BAYP', 'BBDA', 'BCHS', 'BETS', 'BICX', 'BIGG', 'BLTA', 'BLUU', 'BMSN',
'BMTL', 'BNXR', 'BONI', 'BONU', 'BRIZF', 'BRWC', 'BVII', 'BWVI', 'BYRG', 'BYSD',
'CADY', 'CANA', 'CBAK', 'CBGI', 'CBYI', 'CDII', 'CEHC', 'CGCC', 'CGRA', 'CHICF',
'CHLO', 'CNTO', 'COHO', 'COLTF', 'CPRX', 'CTLE', 'CVAT', 'CWNM', 'CYBK', 'CYDI',
'DARA', 'DBMM', 'DCLT', 'DEQI', 'DEWM', 'DGRI', 'DKAM', 'DMHI', 'DNAD', 'DOMK',
'DPSM', 'DRAG', 'DRGV', 'DRMC', 'DSCR', 'EAPH', 'ECDP', 'EDWY', 'EDXC', 'EHOS',
'EKNL', 'ELRA', 'EMBR', 'ENDO', 'ENRT', 'EPAZ', 'EPGG', 'ERBB', 'ERFB', 'ETAK',
'ETEK', 'FBCD', 'FCCN', 'FDFT', 'FDMF', 'FFFC', 'FITX', 'FLPC', 'FLST', 'FNRC',
'FRCN', 'FRMC', 'FRTD', 'GACR', 'GASE', 'GAWK', 'GBEN', 'GEFI', 'GFOX', 'GKIN',
'GLCO', 'GLDG', 'GLDN', 'GLER', 'GMUI', 'GNCC', 'GNCP', 'GOHE', 'GPLH', 'GRAS',
'GRDH', 'GRNE', 'GRNH', 'GRPR', 'GYST', 'HCTI', 'HEMP', 'HFCO', 'HIMR', 'HNIN',
'HPJ', 'HPNN', 'HPTG', 'HRAL', 'HYII', 'IBRC', 'ICBU', 'IDOI', 'IGPK', 'IHSI',
'ILIV', 'IMDC', 'IMTC', 'INNO', 'INOH', 'INOL', 'INVA', 'IOGA', 'ISCO', 'ISR',
'ITNS', 'IWEB', 'KALO', 'KBLB', 'KGET', 'KRED', 'LATF', 'LIBE', 'LIGA', 'LIVE',
'LJPC', 'LKEN', 'LRDR', 'LTNC', 'LVGI', 'LVVV', 'LXRP', 'MCGI', 'MCII', 'MDCE',
'MDDD', 'MDIN', 'MDNT', 'MEDA', 'MEDT', 'MFTH', 'MINE', 'MMRF', 'MNGA', 'MONK',
'MSPC', 'MVRM', 'MWWC', 'MYEC', 'MYRY', 'NBRI', 'NDEV', 'NGHT', 'NGMC', 'NHPI',
'NNAN', 'NNRX', 'NNVC', 'NOHO', 'NPWZ', 'NTEK', 'NXHD', 'OCFN', 'OCTX', 'OGNG',
'OMVS', 'OPXS', 'ORGC', 'OSLH', 'PBHG', 'PEII', 'PESI', 'PGCX', 'PGLO', 'PGSY',
'PHOT', 'PIEX', 'PIHN', 'PLPL', 'PLUG', 'PMXO', 'POIL', 'PPJE', 'PROP', 'PSID',
'PTAH', 'PTGEF', 'PTOG', 'PTOO', 'PUGE', 'PWDY', 'PZOO', 'QASP', 'QFOR', 'QLTS',
'QUNI', 'RBIZ', 'REFG', 'REVI', 'RHCO', 'RIHT', 'RITE', 'ROSV', 'SAFS', 'SAMP',
'SANB', 'SANP', 'SAPX', 'SBFM', 'SCFR', 'SCRC', 'SDON', 'SEEK', 'SEGI', 'SFPI',
'SGDH', 'SGOC', 'SHMN', 'SIMH', 'SING', 'SIPC', 'SITO', 'SITS', 'SKTO', 'SLGI',
'SMVR', 'SNET', 'SOF', 'SOUL', 'SPCL', 'SPMI', 'SREH', 'STBV', 'SUBB', 'SWET',
'SWRF', 'TALK', 'TAUG', 'TCEL', 'TDEY', 'TGGI', 'TLNUF', 'TLTFF', 'TNKE', 'TPAC',
'TPNI', 'TQLA', 'TRII', 'TRLR', 'TRTB', 'TRTC', 'TTEG', 'TUNG', 'TWSI', 'TXGE',
'TXTM', 'TXTMD', 'UBQU', 'UMEWF', 'UNLA', 'URHN', 'USEI', 'USNU', 'USTC', 'USTU',
'UTRM', 'VIDG', 'VMGI', 'VTIFF', 'VTMB', 'VTPI', 'WAFR', 'WBSI', 'WBXU', 'WILD',
'WNTR', 'WPWR', 'WSHE', 'WTCG', 'WTER', 'WWPW', 'XCHO', 'XDSL', 'XNRG', 'XSNX', 'XTRM'
]
monthly_data = []
weekly_data = []
no_data = []
try_again = []
weekly_stock_trends = [['symbol']]
monthly_stock_trends = [['symbol']]
weekly_table_columned = False
monthly_table_columned = False
def scrub_data(text, delimiter):
data = text.split(delimiter)[1].split('Top')[0]
return [x for x in data.split('\n') if x != '']
def list_data(stock_trends, data, columned):
stock_trends.append([data.pop(0)])
for datum in data:
if not columned:
stock_trends[0].append(datum.split(',')[0])
try:
stock_trends[-1].append(datum.split(',')[1])
except:
print('')
print('error in datum parsing')
print(datum)
print('')
def write_to_csv(listed_stock_trends, csv_file):
with open(csv_file, 'w') as textfile:
for trend in listed_stock_trends:
textfile.write(','.join(trend))
textfile.write('\n')
def fetch_stock_data(stocks):
global weekly_table_columned
global weekly_stock_trends
global weekly_data
global monthly_table_columned
global monthly_stock_trends
global monthly_data
global no_data
global try_again
for stock in stocks:
url = 'https://www.google.com/trends/trendsReport?hl=en-US&q=' + stock + '&date=1%2F2010%2067m&cmpt=q&tz=Etc%2FGMT-2&tz=Etc%2FGMT-2&content=1&export=1'
headers = {
'dnt': '1',
'accept-encoding': 'gzip, deflate, sdch',
'accept-language': 'en-US,en;q=0.8',
'user-agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_3) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/43.0.2357.124 Safari/537.36',
'accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,*/*;q=0.8',
'authority': 'www.google.com',
'cookie': 'I4SUserLocale=en_US; HSID=A8lwdnbNtuPdzSb1h; SSID=AGRPc77IGg1OIIkN5; APISID=mmYSBG_SBvmRtPg7/APsrEzZqNxFBE4yjI; SAPISID=YKR8oFjIBYh0FsOc/ApaWaF9keAEps068t; GoogleAccountsLocale_session=en; SID=DQAAABsBAACvbfUUsTZ2DFgQvgUFcyN71NC93s8K4Ts4594XnaqGEwFcYlf75sBYz9db9vdMfglLvzOCcLq17M_aBAqv4_tnhittCWaLguyKqFSZyISswNkoC-WZJJtzBJKWbeHj7UmAc-z-6iSIoUXwB5jEso7e_MRyI1Sah_jvbuTAPcVTSLsW5XrYyXO0Ae4piNpvCumHS5FXqU0yzmRRnytOOCXa3mWUir1fAUss_nuT04nrBpPbf8sUn74SxsPHXyWfXYki6_0nE3isHHWlHqxG0_7P_5OrTq7kbXGMjTfSU-EQEofUUNW_SWzMOh8JULsAo1I2zcTDsSfEbrxkEF14kTg6q5oqQmXrOX7CwG9IszFJxs9yTJPguDUlJM_bK7gg9CI; NID=68=mIQQQv4BAVb9PxPyjWwLYt3HWb6Q8f7qzcEyc2l1B0SNQD2BWCxCptzmtWH0yV6bkvcQ1TlBzn1HZOb4tgm-j-dZBER4w77Tp7B0QtoWoXyC1kA7fVU5QcUkgzdJ62z7lMpWLqoWtwSvpTg2JZnXlKlph-oimSStSYgHmJQ3sTG94S2p8UYz9mLWqKbs2ovuQQPgMReLFm9BFwLox_33J8WsPK15PKLskj0kbzoSJg; PREF=ID=1111111111111111:U=8be405d2262cc3b4:FF=0:LD=en:TM=1433781247:LM=1434571620:GM=1:S=Q2sHjUohO2Cz53aq; S=quotestreamer=Z_okAI7hcxJxhh1giFUT3A:izeitgeist-ad-metrics=8-dHGkd8mKU',
'x-client-data': 'CI+2yQEIo7bJAQiptskBCMS2yQEI6ojKAQi1lcoB'
}
r = requests.get(url, headers=headers)
if 'Week,' in r.text:
data = scrub_data(r.text, 'Week,')
list_data(weekly_stock_trends, data, weekly_table_columned)
weekly_table_columned = True
weekly_data.append(stock)
while stock in try_again: try_again.remove(stock)
print(stock + ' has weekly data')
elif 'Month,' in r.text:
data = scrub_data(r.text, 'Month,')
list_data(monthly_stock_trends, data, monthly_table_columned)
monthly_table_columned = True
monthly_data.append(stock)
while stock in try_again: try_again.remove(stock)
print(stock + ' has monthly data')
elif 'You have reached your quota limit' in r.text or 'may be sending automated queries' in r.text:
try_again.append(stock)
print(stock + ' will try again due to quota limit')
else:
print(r.text)
no_data.append(stock)
while stock in try_again: try_again.remove(stock)
print(stock + ' has no data')
def try_stocks_again():
global try_again
if len(try_again) > 0:
print('')
print('Try Agains:')
print(try_again)
print('')
fetch_stock_data(try_again)
try_stocks_again()
fetch_stock_data(stocks)
try_stocks_again()
write_to_csv(weekly_stock_trends, 'weekly_stock_trends.csv')
write_to_csv(monthly_stock_trends, 'monthly_stock_trends.csv')
print('Had Monthly Data:')
print(monthly_data)
print('')
print('Had Weekly Data:')
print(weekly_data)
print('')
print('Had No Data:')
print(no_data)
print('')
print('Try Agains (hopefully none)')
print(try_again)
@kevincolten
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Author 

Had Monthly Data:
['AHII', 'AMMX', 'AMPG', 'AQUM', 'ASKH', 'AVEW', 'AXCG', 'AXLX', 'AZFL', 'BAYP', 'BBDA', 'BICX', 'BLTA', 'BMSN', 'BMTL', 'BRWC', 'BVII', 'BWVI', 'BYSD', 'CBAK', 'CBYI', 'CDII', 'CEHC', 'CGRA', 'CHICF', 'CTLE', 'CWNM', 'DBMM', 'DCLT', 'DEQI', 'DKAM', 'DMHI', 'DNAD', 'DOMK', 'EAPH', 'ECDP', 'EDXC', 'EKNL', 'ENRT', 'EPAZ', 'EPGG', 'ERFB', 'FBCD', 'GLCO', 'GLDG', 'GLDN', 'GMUI', 'GNCP', 'GRDH', 'GRPR', 'HFCO', 'HIMR', 'HPNN', 'HYII', 'ICBU', 'IHSI', 'INOH', 'KBLB', 'LATF', 'LJPC', 'SREH', 'STBV', 'SWRF', 'TCEL', 'TDEY', 'TGGI', 'WWPW', 'XSNX', 'FDFT', 'FLPC', 'FRCN', 'LKEN', 'LVVV', 'MYRY', 'NGMC', 'NPWZ', 'OCFN', 'PGCX', 'PPJE', 'QFOR', 'RHCO', 'SCFR', 'SFPI', 'SHMN', 'TRTB', 'UBQU', 'VIDG', 'VTPI', 'MDCE', 'REFG', 'TWSI', 'MCII', 'FFFC', 'FRTD', 'GFOX', 'LRDR', 'LVGI', 'MDNT', 'MFTH', 'NDEV', 'NNAN', 'NXHD', 'OPXS', 'PBHG', 'PTOG', 'QASP', 'SGOC', 'SMVR', 'TPNI', 'USNU', 'WBSI', 'WNTR', 'XNRG', 'FDMF', 'FRMC', 'GKIN', 'MDIN', 'PTOO', 'SGDH', 'SLGI', 'TXTM', 'GBEN', 'SBFM', 'WAFR', 'XCHO', 'FNRC', 'MWWC', 'SDON', 'WPWR', 'LTNC', 'PIHN', 'PZOO', 'NHPI']

Had Weekly Data:
['ABHI', 'AEGY', 'AGIN', 'AJGH', 'AMBS', 'AMZZ', 'ANDI', 'ANSU', 'APRE', 'ASCC', 'AXXE', 'BANJ', 'BCHS', 'BETS', 'BIGG', 'BLUU', 'BNXR', 'BONI', 'BONU', 'BYRG', 'CADY', 'CANA', 'CBGI', 'CGCC', 'CHLO', 'CNTO', 'COHO', 'CPRX', 'CVAT', 'CYBK', 'CYDI', 'DARA', 'DEWM', 'DGRI', 'DPSM', 'DRAG', 'DRMC', 'DSCR', 'EDWY', 'EHOS', 'ELRA', 'EMBR', 'ENDO', 'ERBB', 'ETAK', 'ETEK', 'GLER', 'GNCC', 'GOHE', 'GRAS', 'GRNE', 'GRNH', 'GYST', 'HCTI', 'HEMP', 'HNIN', 'HPJ', 'HPTG', 'HRAL', 'IBRC', 'IDOI', 'IGPK', 'ILIV', 'IMDC', 'IMTC', 'INNO', 'INOL', 'INVA', 'IOGA', 'ISCO', 'ISR', 'ITNS', 'IWEB', 'KALO', 'KGET', 'KRED', 'LIBE', 'LIGA', 'LIVE', 'OCTX', 'OGNG', 'SPMI', 'SUBB', 'SWET', 'TALK', 'TAUG', 'TNKE', 'TPAC', 'WTCG', 'XDSL', 'GACR', 'GEFI', 'MDDD', 'MEDA', 'MINE', 'MONK', 'ORGC', 'PIEX', 'SAFS', 'SANP', 'SIPC', 'SKTO', 'SNET', 'TQLA', 'URHN', 'USTC', 'WILD', 'WSHE', 'NNRX', 'PESI', 'POIL', 'SEGI', 'VTMB', 'FCCN', 'FLST', 'GAWK', 'MCGI', 'MNGA', 'MYEC', 'NOHO', 'PGLO', 'PHOT', 'PLPL', 'PSID', 'PUGE', 'QUNI', 'REVI', 'RITE', 'SAMP', 'SAPX', 'SCRC', 'SEEK', 'SING', 'SITS', 'SOUL', 'TRLR', 'TTEG', 'UNLA', 'UTRM', 'WTER', 'MSPC', 'NGHT', 'NTEK', 'PEII', 'PLUG', 'RBIZ', 'SANB', 'TRII', 'USTU', 'ROSV', 'FITX', 'GASE', 'MMRF', 'NBRI', 'NNVC', 'PTAH', 'QLTS', 'SIMH', 'SOF', 'TRTC', 'USEI', 'OSLH', 'PROP', 'TUNG', 'PGSY', 'VMGI', 'RIHT', 'MEDT', 'OMVS', 'SPCL', 'XTRM', 'SITO']

Had No Data:
['BRIZF', 'COLTF', 'DRGV', 'GPLH', 'TLNUF', 'TLTFF', 'PTGEF', 'PWDY', 'MVRM', 'PMXO', 'TXGE', 'TXTMD', 'VTIFF', 'WBXU', 'LXRP', 'UMEWF']

@kevincolten
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Author

Merged weekly data into monthly data but taking the sums of the values of the weeks that started in each month.
Note: Google assigns relative values, so that the highest number receives a 100, and the other values are given an integer percent of that highest value. The values including and below abhi do not follow this scheme, as they were the totals of the weeks done the 'Google way'

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