import pylab import numpy # Zuerich monthly sunspot numbers 1749-1983. Source: Andrews & Herzberg (1985). X = pylab.load('data/monthly_sunspots.dat')
Matplotlib is a pure python plotting library with the goal of making\r\npublication quality plots using a syntax familiar to matlab users. \r\nThe library uses Numeric for handling large\r\ndata sets and supports a variety of output backends
data/ key_stats/ CROX_key_stats.html GE_key_stats.html GOOG_key_stats.html INTC_key_stats.html MSFT_key_stats.html WMT_key_stats.html YHOO_key_stats.html HISTORY.gz ge.csv hsales.dat monthly_sunspots.dat moonlanding.jpg nm560.dat synapse_data.dat synapse_times.dat extras/ fft_demo.py spec_interp.py steinman_interp.py weave_examples.py faces/ data_test/ face10tn.pcx face11tn.pcx face12tn.pcx face13tn.pcx face14tn.pcx face15tn.pcx face16tn.pcx face17tn.pcx face18tn.pcx face19tn.pcx face1tn.pcx face20tn.pcx face21tn.pcx face22tn.pcx face23tn.pcx face24tn.pcx face25tn.pcx face26tn.pcx face27tn.pcx face28tn.pcx face29tn.pcx face2tn.pcx face30tn.pcx face3tn.pcx face4tn.pcx face5tn.pcx face6tn.pcx face7tn.pcx face8tn.pcx face9tn.pcx data_train/ face10n.pcx face11n.pcx face12n.pcx face13n.pcx face14n.pcx face15n.pcx face16n.pcx face17n.pcx face18n.pcx face19n.pcx face1n.pcx face20n.pcx face21n.pcx face22n.pcx face23n.pcx face24n.pcx face25n.pcx face26n.pcx face27n.pcx face28n.pcx face29n.pcx face2n.pcx face30n.pcx face31n.pcx face32n.pcx face33n.pcx face34n.pcx face35n.pcx face36n.pcx face37n.pcx face38n.pcx face39n.pcx face3n.pcx face40n.pcx face41n.pcx face42n.pcx face43n.pcx face44n.pcx face45n.pcx face46n.pcx face47n.pcx face48n.pcx face49n.pcx face4n.pcx face50n.pcx face51n.pcx face52n.pcx face53n.pcx face54n.pcx face55n.pcx face56n.pcx face57n.pcx face58n.pcx face59n.pcx face5n.pcx face60n.pcx face61n.pcx face62n.pcx face63n.pcx face64n.pcx face65n.pcx face6n.pcx face7n.pcx face8n.pcx face9n.pcx faces.py fmatch.py imatch.py imatch2.py imtools.py test_imatch.py logistic/ sethna_ori/ __init__.py exercise01.py exercise02.py maplib.py maplib.pyc numpy_wrap/ f2py/ pyrex/ swig/ schrodinger/ Schrodinger_FDTD.pdf schrod_fdtd.py skel/ faces/ fortran_wrap/ distributions_skel.py erathostenes_skel.py fft_imdenoise_skel.py fit_synapse_skel.py fitting_skel.py montecarlo_pi_skel.py polyroots1d_skel.py qsort_skel.py quad_newton_skel.py recarray_demo_skel.py regress_demo_skel.py scrape_key_stats_skel.py shoot_skel.py spline_demo_skel.py stats_descriptives_skel.py stats_distributions_skel.py trapezoid_skel.py wallis_pi_skel.py wordfreqs_skel.py visual/ bounce.py shoot.py shoot_t.py toroid_drag.py BeautifulSoup.py __init__.py bessel.py distributions.py erathostenes.py erathostenes_fperez.py erathostenes_list.py erathostenes_set.py fft_imdenoise.py fit_synapse.py fitting.py getbibtex.py lsys.py montecarlo_pi.py numpy-blitz_1000.png numpy-blitz_300.png numpy-blitz_500.png numpy_slicing.py polyroots1d.py qsort.py quad_newton.py recarray_demo.py regress.py regress_demo.py scrape_key_stats.py spline_demo.py stats_descriptives.py stats_distributions.py test.ipy trapezoid.py wallis_pi.py weave_blitz.py weave_blitz0.py weave_blitz_comp.png weave_examples_simple.py weave_exercises.py wordfreqs.py