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src/q/u/QuantPy-HEAD/examples/nplot_ex.py   QuantPy(Download)
# Example plotting returns.
from pylab import *
import quantpy as qp
 
# Get symbols.

src/q/u/QuantPy-HEAD/examples/min_variance_returns_ex.py   QuantPy(Download)
from pylab import *
import quantpy as qp
 
# Get portfolio.
P = qp.Portfolio(['IBM','GOOG','MSFT','AAPL','INTC'])

src/q/u/QuantPy-HEAD/examples/event_ex.py   QuantPy(Download)
import quantpy as qp
from numpy import *
 
 
# Create your own truth function describing your even.

src/q/u/QuantPy-HEAD/examples/efficient_frontier_plot_ex.py   QuantPy(Download)
# Example plotting effienct frontier.
 
import quantpy as qp
 
# Grap portfolio

src/q/u/QuantPy-HEAD/quantpy/gui/app.py   QuantPy(Download)
import pylab as pl
 
import quantpy as qp
 
DATA_DIR = os.path.join(os.path.dirname(__file__), 'data')

src/q/u/QuantPy-HEAD/tests/unit/technical_indicators.py   QuantPy(Download)
import unittest
 
import numpy as np
import quantpy as qp
import pandas as pd