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]

jamespeterschinner

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cgtgtatgaaatctaacaatgcgctcatcgtcatcctcggcaccgtcaccctggatgctgtaggcataggcttggttatg
ccggtactgccgggcctcttgcgggatatcgtccattccgacagcatcgccagtcactatggcgtgctgctagcgctata
tgcgttgatgcaatttctatgcgcacccgttctcggagcactgtccgaccgctttggccgccgcccagtcctgctcgctt
cgctacttggagccactatcgactacgcgatcatggcgaccacacccgtcctgtggatcctctacgccggacgcatcgtg
gccggcatcaccggcgccacaggtgcggttgctggcgcctatatcgccgacatcaccgatggggaagatcgggctcgcca
cttcgggctcatgagcgcttgtttcggcgtgggtatggtggcaggccccgtggccgggggactgttgggcgccatctcct
tgcatgcaccattccttgcggcggcggtgctcaacggcctcaacctactactgggctgcttcctaatgcaggagtcgcat
aagggagagcgtcgaccgatgcccttgagagccttcaacccagtcagctccttccggtgggcgcggggcatgactatcgt
cgccgcacttatgactgtcttctttatcatgcaactcgtaggacaggtgccggcagcgctctgggtcattttcggcgagg

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

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 asyncio
from time import time

from async_v20 import OandaClient


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