neurojojo’s gists

neurojojo / fileclass.py

Created July 31, 2022 13:48

	class fileclass:
	def __init__(self, input):
	self.Filename = input
	self.Size = os.path.getsize(input)
	def summary(self):
	print(f'File is named {self.Filename} and has size {self.Size}')
	def __lt__(obj1, obj2):
	if obj1.Size<obj2.Size:
	print(f'{obj1.Filename} is smaller than {obj2.Filename}\n')
	if obj2.Size<obj1.Size:

neurojojo / fileclass.m

Last active July 31, 2022 13:44

	classdef fileclass

	properties
	Filename
	Size
	end

	methods
	function obj = fileclass(inputfile)
	obj.Filename = inputfile;

neurojojo / projectionplot.m

Created April 22, 2022 21:53

	% Example x,y,z
	x = [-15:1:1];
	y = sin(x/2);
	z = (x/10).^3;

	figure('color','w'); plot3(x,y,z,'o-','markersize',8,'color',[1,.5,.5],'linewidth',2,'markerfacecolor','k'); grid on

	coords_tbl = array2table([x',y',z']);
	zlims = get(gca,'ZLim')
	set(gca,'nextplot','add','linewidth',1);

neurojojo / joydivisionplot.m

Created March 12, 2022 19:46

joydivisionplot.m

	figure('color','w'); ax = axes('nextplot','add');
	yd = 2; % Alter this variable to space your Tseries further apart on the y-axis
	rowfun( @(cellnumber,tseries) plot(ax,1+tseries{1}+yd*cellnumber,'color','k'),...
	mytable(:,{'CellNumber','Tseries'}) )
	set(ax,'YTick',[],'YColor','w','TickDir','out')

neurojojo / save_pdf_texts.py

Last active February 22, 2022 21:00

	dictionary_of_texts = dict()

	for filename,pdf_text in zip(files,pdf_as_text):
	if len( pdf_text )!=0:
	dictionary_of_texts[filename] = pdf_text

	try:
	for filename,pdf_text in zip(problem_pdfs,image_pdf_text):
	dictionary_of_texts[filename] = pdf_text
	except:

neurojojo / pdfimages_to_text.py

Last active March 14, 2022 18:42

	# Variables:
	# (1) pdf_as_text
	# where some list elements are empty because an attempt was made to
	# read in a PDF that is a scanned image (not typed text)
	# (2) files
	# a list of file names and paths to the PDFs

	!apt-get install poppler-utils
	!pip install pdf2image

neurojojo / ssr_getquotes.py

Last active February 16, 2022 22:31

	import pickle, yfinance as yf

	stock_tseries_df = pd.DataFrame()

	for x in ssr_database.iterrows():
	try:
	thisstock = yf.download( x[1].Ticker, start=x[1].Datetime.date(), end=x[1].NextDay.date(), interval = '30m' )

	tmp = pd.DataFrame( [ x[1].Ticker, x[1].Datetime, x[1].NextDay, \
	thisstock['Close'].values[0:13],thisstock['Close'].values[14:],\

neurojojo / gist:badfb3a77df0c56038a6252e03393410

Created February 16, 2022 18:42

	import pickle

	stock_tseries_df = pd.DataFrame()

	for x in ssr_database.iterrows():
	try:
	thisstock = yf.download( x[1].Ticker, start=x[1].Datetime.date(), end=x[1].NextDay.date(), interval = '30m' )

	tmp = pd.DataFrame( [ x[1].Ticker, x[1].Datetime, x[1].NextDay, thisstock['Close'].values[0:13],thisstock['Close'].values[14:],thisstock['Volume'].values[0:13],thisstock['Volume'].values[14:]] ).transpose()
	stock_tseries_df = pd.concat( [stock_tseries_df,tmp] )

neurojojo / ssr_parsing.py

Last active February 16, 2022 18:36

	import re, pandas as pd
	from dateutil import parser

	lines = [];

	with open('ssr.csv','r') as f:
	while 1:
	myline = f.readline()
	if re.search('[A-Z]+,',myline) is not None: # A line containing stock information
	lines.append( [re.search('[A-Z]+',myline).group(0),\

neurojojo / scarpe_ssr.py

Created February 16, 2022 18:11

	import requests
	import urllib3
	from datetime import datetime

	urllib3.disable_warnings()

	headers = {'User-Agent': 'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/42.0.2311.90 Safari/537.36'}
	date_field = f'{datetime.now().year}{datetime.now().month:02}{datetime.now().day:02}'
	url = f'https://www.nasdaqtrader.com/dynamic/symdir/shorthalts/shorthalts{date_field}.txt'
	response = requests.get(url, headers=headers, verify=False).text;

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