jamespeterschinner

import asyncio
from time import time

from async_v20 import OandaClient


class Time(object):
    def __enter__(self):
        self.start = time()
        return self

jamespeterschinner

import numpy as np

def horizontal_index(n, offset=0):
    """Create horizontal index with vertically aligned numbers"""
    index = [' ' * offset for _ in range(len(str(n)))]
    for number in map(str, range(n)):
        for idx, n in enumerate(number):
            index[idx] += n + '|'
    pad = max(map(len, index))
    return '\n'.join(i.rjust(pad, ' ') for i in reversed(index))

jamespeterschinner

import numpy as np

from itertools import chain
from statistics import mean
import pandas as pd

import matplotlib.pyplot as plt
import statsmodels.formula.api as sfa

jamespeterschinner

ttctcatgtttgacagcttatcatcgataagctttaatgcggtagtttatcacagttaaattgctaacgcagtcaggcac
cgtgtatgaaatctaacaatgcgctcatcgtcatcctcggcaccgtcaccctggatgctgtaggcataggcttggttatg
ccggtactgccgggcctcttgcgggatatcgtccattccgacagcatcgccagtcactatggcgtgctgctagcgctata
tgcgttgatgcaatttctatgcgcacccgttctcggagcactgtccgaccgctttggccgccgcccagtcctgctcgctt
cgctacttggagccactatcgactacgcgatcatggcgaccacacccgtcctgtggatcctctacgccggacgcatcgtg
gccggcatcaccggcgccacaggtgcggttgctggcgcctatatcgccgacatcaccgatggggaagatcgggctcgcca
cttcgggctcatgagcgcttgtttcggcgtgggtatggtggcaggccccgtggccgggggactgttgggcgccatctcct
tgcatgcaccattccttgcggcggcggtgctcaacggcctcaacctactactgggctgcttcctaatgcaggagtcgcat
aagggagagcgtcgaccgatgcccttgagagccttcaacccagtcagctccttccggtgggcgcggggcatgactatcgt
cgccgcacttatgactgtcttctttatcatgcaactcgtaggacaggtgccggcagcgctctgggtcattttcggcgagg

jamespeterschinner

import matplotlib.pyplot as plt
from statistics import mean


def chunks(l, n=2):
    """Yield successive n-sized chunks from l."""
    for i in range(0, len(l), n):
        yield l[i:i + n]