def plot_bitcoin():
"""Plot BitCoin prices and a smoothed time series.
"""
nrows = 1625
df = pandas.read_csv('coindesk-bpi-USD-close.csv',
nrows=nrows, parse_dates=[0])
ys = df.Close.values
window = np.ones(30)
window /= sum(window)
smoothed = np.convolve(ys, window, mode='valid')
N = len(window)
smoothed = thinkdsp.shift_right(smoothed, N//2)
thinkplot.plot(ys, color='0.7', label='daily')
thinkplot.plot(smoothed, label='30 day average')
thinkplot.config(xlabel='time (days)',
ylabel='price',
xlim=[0, nrows],
loc='lower right')
thinkplot.save(root='convolution1')
def plot_bitcoin():
nrows = 1625
df = pandas.read_csv("coindesk-bpi-USD-close.csv", nrows=nrows, parse_dates=[0])
ys = df.Close.values
window = numpy.ones(30)
window /= sum(window)
smoothed = numpy.convolve(ys, window, mode="valid")
N = len(window)
smoothed = thinkdsp.shift_right(smoothed, N // 2)
thinkplot.plot(ys, color="0.7", label="daily")
thinkplot.plot(smoothed, label="30 day average")
thinkplot.config(
xlabel="time (days)",
ylabel="price",
xlim=[0, nrows],
# ylim=[-60, 60],
loc="lower right",
)
thinkplot.save(root="convolution1")
def plot_bitcoin():
"""Plot BitCoin prices and a smoothed time series.
"""
nrows = 1625
df = pandas.read_csv('coindesk-bpi-USD-close.csv',
nrows=nrows, parse_dates=[0])
ys = df.Close.values
window = np.ones(30)
window /= sum(window)
smoothed = np.convolve(ys, window, mode='valid')
N = len(window)
smoothed = thinkdsp.shift_right(smoothed, N//2)
thinkplot.plot(ys, color='0.7', label='daily')
thinkplot.plot(smoothed, label='30 day average')
thinkplot.config(xlabel='time (days)',
ylabel='price',
xlim=[0, nrows],
loc='lower right')
thinkplot.save(root='convolution1')