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pylab_examples example code: scatter_demo2.pyΒΆ

(Source code, png, hires.png, pdf)

Demo of scatter plot with varying marker colors and sizes.
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.cbook as cbook

# Load a numpy record array from yahoo csv data with fields date,
# open, close, volume, adj_close from the mpl-data/example directory.
# The record array stores python datetime.date as an object array in
# the date column
datafile = cbook.get_sample_data('goog.npy')
    # Python3 cannot load python2 .npy files with datetime(object) arrays
    # unless the encoding is set to bytes. Hovever this option was
    # not added until numpy 1.10 so this example will only work with
    # python 2 or with numpy 1.10 and later
    price_data = np.load(datafile, encoding='bytes').view(np.recarray)
except TypeError:
    price_data = np.load(datafile).view(np.recarray)
price_data = price_data[-250:]  # get the most recent 250 trading days

delta1 = np.diff(price_data.adj_close)/price_data.adj_close[:-1]

# Marker size in units of points^2
volume = (15 * price_data.volume[:-2] / price_data.volume[0])**2
close = 0.003 * price_data.close[:-2] / 0.003 * price_data.open[:-2]

fig, ax = plt.subplots()
ax.scatter(delta1[:-1], delta1[1:], c=close, s=volume, alpha=0.5)

ax.set_xlabel(r'$\Delta_i$', fontsize=20)
ax.set_ylabel(r'$\Delta_{i+1}$', fontsize=20)
ax.set_title('Volume and percent change')



Keywords: python, matplotlib, pylab, example, codex (see Search examples)