def generate_plot_from_file(fname, web_dir):
print("generating plot for %s" % (fname))
name = fname[:fname.rfind('_')]
procs = []
with open(fname, 'r') as f:
reader = csv.reader(f, delimiter=' ')
for row in reader:
procs.append(int(row[0]))
procs = list(set(procs))
pylab.plotfile(fname,
cols=(0, 1, 2, 3),
delimiter=' ',
names=['$n_p$', 'min', 'avg', 'max'],
subplots=False,
plotfuncs={
1: 'semilogy',
2: 'semilogy',
3: 'semilogy'
},
marker='s',
linewidth=3)
pylab.title("%s Performance" % (name))
pylab.ylabel("time [s]")
pylab.xticks(procs)
pylab.savefig("%s/plots/%s.png" % (web_dir, fname))
return "%s.png" % (fname)
def methodFirst():
fname = cbook.get_sample_data(
r'D:\Python\数据可视化\yahoo stoke API\amzn_2014-1-1_today.csv',
asfileobj=False)
plotfile(fname, ('date', 'high', 'low', 'close'), subplots=False)
show()
plotfile(fname, (0, 1, 5), plotfuncs={5: 'bar'})
show()
def generate_plot_from_file(fname, web_dir):
print("generating plot for %s" % (fname))
name = fname[:fname.rfind('_')]
procs = []
with open(fname, 'r') as f:
reader = csv.reader(f, delimiter=' ')
for row in reader:
procs.append(int(row[0]))
procs = list(set(procs))
pylab.plotfile(fname, cols=(0,1,2,3), delimiter=' ',
names=['$n_p$', 'min', 'avg', 'max'], subplots=False,
plotfuncs={1:'semilogy', 2:'semilogy', 3:'semilogy'},
marker='s', linewidth=3)
pylab.title("%s Performance" % (name))
pylab.ylabel("time [s]")
pylab.xticks(procs)
pylab.savefig("%s/plots/%s.png" % (web_dir, fname))
return "%s.png" % (fname)
def plotmythings_lines():
if len(sys.argv) == 1:
print 'Too few arguments'
sys.exit()
if len(sys.argv) > 2 and sys.argv[2] == 'using':
j = int(sys.argv[3])
k = int(sys.argv[4])
i = sys.argv[1]
plt.plotfile(i, delimiter=' ', cols=(j - 1, k - 1))
else:
for i in sys.argv:
if i == sys.argv[1]:
plt.plotfile(i, delimiter=' ', cols=(0, 1))
if (i != sys.argv[1] and i != sys.argv[0]):
plt.plotfile(i, delimiter=' ', newfig=False, cols=(0, 1))
def plotmythings_lines( ):
if len(sys.argv)==1:
print 'Too few arguments'
sys.exit()
if len(sys.argv)>2 and sys.argv[2]=='using':
j=int(sys.argv[3])
k=int(sys.argv[4])
i=sys.argv[1]
plt.plotfile(i, delimiter=' ', cols=(j-1,k-1))
else:
for i in sys.argv:
if i==sys.argv[1]:
plt.plotfile(i, delimiter=' ', cols=(0,1))
if (i!=sys.argv[1] and i!=sys.argv[0]):
plt.plotfile(i, delimiter=' ',newfig=False,cols=(0,1))
#!/usr/bin/env python
# Documentation of 'plotfile' see -
# http://matplotlib.org/api/pyplot_api.html#module-matplotlib.pyplot
# This script is used to plot the data generated by - 'test_airsea'
from pylab import plotfile, show, gca, savefig
fname = "fort.200"
plotfile(fname, (
0,
1,
2,
), delimiter=' ', subplots=False)
gca().set_xlabel(r'Wind speed')
gca().set_title(r'Momentum bulk transfer coefficient')
savefig('cdd.png')
show()
plotfile(fname, (
0,
3,
4,
), delimiter=' ', subplots=False)
gca().set_xlabel(r'Wind speed')
gca().set_title(r'Latent heat bulk transfer coefficient')
savefig('ced.png')
show()
plotfile(fname, (
#!/usr/bin/env python
# Documentation of 'plotfile' see -
# http://matplotlib.org/api/pyplot_api.html#module-matplotlib.pyplot
# This script is used to plot the data generated by - 'test_airsea'
from pylab import plotfile, show, gca, savefig
fname="fort.100"
plotfile(fname, (0, 1, 2, 3, 4), delimiter=' ',subplots=False)
gca().set_xlabel(r'hour')
gca().set_title(r'Solar zenith angle (1 day)')
savefig('solar_zenith_angle_day.png')
show()
fname="fort.101"
plotfile(fname, (0, 1, 2, 3, 4), delimiter=' ',subplots=False)
gca().set_xlabel(r'hour')
gca().set_title(r'Short wave radiation (1 day)')
savefig('short_wave_radiation_day.png')
show()
fname="fort.200"
plotfile(fname, (0, 1, 2, 3, 4), delimiter=' ',subplots=False)
gca().set_xlabel(r'day')
gca().set_title(r'Solar zenith angle (1 year)')
savefig('solar_zenith_angle_year.png')
show()
fname="fort.201"
#!/usr/bin/env python
# Alberto Rodriguez Sanchez
import pylab
import numpy as np
import sys
if __name__ == '__main__':
assert len(sys.argv) > 1, "Argumentos insuficientes"
try:
pylab.plotfile(sys.argv[1],
delimiter=' ',
cols=(0, 1),
names=('f1', 'f2'))
pylab.show()
except IOError as e:
print "I/O error({0}):{1}".format(e.errno, e.strerror)
__data__ = '2015-09-23 16:28' __mail__ = '[email protected]/[email protected]' __weibo__ = 'http://weibo.com/ganchaojiang' from pylab import plotfile, show, gca import matplotlib.cbook as cbook fname = cbook.get_sample_data('msft.csv', asfileobj=False) fname2 = cbook.get_sample_data('data_x_x2_x3.csv', asfileobj=False) # test 1; use ints plotfile(fname, (0,5,6)) # test 2; use names plotfile(fname, ('date', 'volume', 'adj_close')) # test 3; use semilogy for volume plotfile(fname, ('date', 'volume', 'adj_close'), plotfuncs={'volume': 'semilogy'}) # test 4; use semilogy for volume plotfile(fname, (0,5,6), plotfuncs={5:'semilogy'}) #test 5; single subplot plotfile(fname, ('date', 'open', 'high', 'low', 'close'), subplots=False) # test 6; labeling, if no names in csv-file plotfile(fname2, cols=(0,1,2), delimiter=' ',
""" Name : 4375OS_07_27_volume_and_price_2_plots.py Book : Python for Finance Publisher: Packt Publishing Ltd. Author : Yuxing Yan Date : 12/26/2013 email : [email protected] [email protected] """ from pylab import plotfile, show import matplotlib.finance as finance ticker = 'IBM' begdate = datetime.date(2013,1,1) enddate = datetime.date.today() x= finance.fetch_historical_yahoo(ticker, begdate, enddate) plotfile(x, (0,5,6)) show()
from pylab import plotfile, show
import matplotlib.cbook as cbook
fname = cbook.get_sample_data('/Users/MacBook/Downloads/Book_code/Chapter4/amzn.csv', asfileobj=False)
plotfile(fname, (0,1,5), plotfuncs={5:'bar'})
show()
def plot(filename):
print('Plotting %s' % filename)
pylab.plotfile(filename, cols=(0, 1), delimiter=' ', subplots=False)
pylab.show()
from pylab import plotfile, show
fname = 'data/msft.csv'
# test 1; use ints
plotfile(fname, (0, 5, 6))
# test 2; use names
plotfile(fname, ('date', 'volume', 'adj_close'))
# test 3; use semilogy for volume
plotfile(fname, ('date', 'volume', 'adj_close'),
plotfuncs={'volume': 'semilogy'})
# test 4; use semilogy for volume
plotfile(fname, (0, 5, 6), plotfuncs={5: 'semilogy'})
# test 5; use bar for volume
plotfile(fname, (0, 5, 6), plotfuncs={5: 'bar'})
show()
from pylab import plotfile, show, gca
import matplotlib.cbook as cbook
fname = cbook.get_sample_data('/home/wuqili/datavis/amzn.csv', asfileobj=False)
plotfile(fname, (0,4,6 ), plotfuncs={'Volume':'bar'})
show()
from pylab import plotfile, show
fname = 'data/msft.csv'
# test 1; use ints
plotfile(fname, (0,5,6))
# test 2; use names
plotfile(fname, ('date', 'volume', 'adj_close'))
# test 3; use semilogy for volume
plotfile(fname, ('date', 'volume', 'adj_close'), plotfuncs={'volume': 'semilogy'})
# test 4; use semilogy for volume
plotfile(fname, (0,5,6), plotfuncs={5:'semilogy'})
# test 5; use bar for volume
plotfile(fname, (0,5,6), plotfuncs={5:'bar'})
show()
from pylab import plotfile, show, gca
import matplotlib.cbook as cbook
fname = cbook.get_sample_data(
'/Users/MacBook/Downloads/Book_Code/Chapter4/amzn.csv', asfileobj=False)
plotfile(fname, ('date', 'high', 'low', 'close'), subplots=False)
show()
from pylab import plotfile, show, gca
import matplotlib.cbook as cbook
fname = cbook.get_sample_data('msft.csv',asfileobj=False)
plotfile(fname,(0,5,6))
plotfile(fname,('date','volume','adj_close'))
show()
from pylab import plotfile, show, gca
import matplotlib.cbook as cbook
fname = cbook.get_sample_data('/home/dual/cs5120284/Desktop/TCP_/bic.csv', asfileobj=False)
#fname2 = cbook.get_sample_data('data_x_x2_x3.csv', asfileobj=False)
# test 1; use ints
plotfile(fname, (1,2,0))
'''
# test 2; use names
plotfile(fname, ('date', 'volume', 'adj_close'))
# test 3; use semilogy for volume
plotfile(fname, ('date', 'volume', 'adj_close'), plotfuncs={'volume': 'semilogy'})
# test 4; use semilogy for volume
plotfile(fname, (0,5,6), plotfuncs={5:'semilogy'})
#test 5; single subplot
plotfile(fname, ('date', 'open', 'high', 'low', 'close'), subplots=False)
# test 6; labeling, if no names in csv-file
plotfile(fname2, cols=(0,1,2), delimiter=' ',
names=['$x$', '$f(x)=x^2$', '$f(x)=x^3$'])
# test 7; more than one file per figure--illustrated here with a single file
plotfile(fname2, cols=(0, 1), delimiter=' ')
plotfile(fname2, cols=(0, 2), newfig=False, delimiter=' ') # use current figure
gca().set_xlabel(r'$x$')
gca().set_ylabel(r'$f(x) = x^2, x^3$')
#!/usr/bin/env python
# Documentation of 'plotfile' see -
# http://matplotlib.org/api/pyplot_api.html#module-matplotlib.pyplot
# This script is used to plot the data generated by - 'test_airsea'
from pylab import plotfile, show, gca, savefig
fname = "fort.100"
plotfile(fname, (0, 1, 2, 3, 4), delimiter=' ', subplots=False)
gca().set_xlabel(r'hour')
gca().set_title(r'Solar zenith angle (1 day)')
savefig('solar_zenith_angle_day.png')
show()
fname = "fort.101"
plotfile(fname, (0, 1, 2, 3, 4), delimiter=' ', subplots=False)
gca().set_xlabel(r'hour')
gca().set_title(r'Short wave radiation (1 day)')
savefig('short_wave_radiation_day.png')
show()
fname = "fort.200"
plotfile(fname, (0, 1, 2, 3, 4), delimiter=' ', subplots=False)
gca().set_xlabel(r'day')
gca().set_title(r'Solar zenith angle (1 year)')
savefig('solar_zenith_angle_year.png')
show()
fname = "fort.201"
import sys
from pylab import plotfile, show, gca
import matplotlib
import matplotlib.cbook as cbook
fn = sys.argv[1]
print "fn=",fn
matplotlib.rcParams['examples.directory'] = '.'
fname = cbook.get_sample_data(fn,asfileobj=True )
plotfile(fname, ('date', 'pylmm1', 'pylmm2'), subplots=False)
show()
""" Name : 4375OS_07_27_volume_and_price_2_plots.py Book : Python for Finance Publisher: Packt Publishing Ltd. Author : Yuxing Yan Date : 12/26/2013 email : [email protected] [email protected] """ from pylab import plotfile, show import matplotlib.finance as finance ticker = 'IBM' begdate = datetime.date(2013, 1, 1) enddate = datetime.date.today() x = finance.fetch_historical_yahoo(ticker, begdate, enddate) plotfile(x, (0, 5, 6)) show()
#!/usr/bin/env python
# Documentation of 'plotfile' see -
# http://matplotlib.org/api/pyplot_api.html#module-matplotlib.pyplot
# This script is used to plot the data generated by - 'test_albedo'
from pylab import plotfile, show, gca, savefig
fname="fort.100"
plotfile(fname, (0, 1, 2, 3, 4, 5), delimiter=' ',subplots=False)
gca().set_xlabel(r'angle')
gca().set_title(r'Albedo as function of zenith angle')
savefig('albedo_zenith.png')
show()
fname="fort.101"
plotfile(fname, (0, 1, 2, 3, 4, 5, 6, 7, 8 ), delimiter=' ',subplots=False)
gca().set_xlabel(r'year day')
gca().set_title(r'Albedo as function of year day')
savefig('albedo_yearday.png')
show()
def plot(filename):
print 'Plotting %s' % filename
pylab.plotfile(filename, cols=(0,1), delimiter=' ', subplots=False)
pylab.show()
#!/usr/bin/env python
import pylab as pl
pl.plotfile("./everything_vs_kT.dat", cols=range(5), delimiter='\t')
pl.savefig("everything_vs_kT.png")
pl.plotfile("./everything_vs_system_size.dat", cols=range(5), plotfuncs={2:'plot',3:'semilogy'}, delimiter='\t')
pl.savefig("everything_vs_system_size.png")
from pylab import plotfile, show, gca
import matplotlib.cbook as cbook
fname = cbook.get_sample_data('msft.csv', asfileobj=False)
fname2 = cbook.get_sample_data('data_x_x2_x3.csv', asfileobj=False)
# test 1; use ints
plotfile(fname, (0, 5, 6))
# test 2; use names
plotfile(fname, ('date', 'volume', 'adj_close'))
# test 3; use semilogy for volume
plotfile(fname, ('date', 'volume', 'adj_close'),
plotfuncs={'volume': 'semilogy'})
# test 4; use semilogy for volume
plotfile(fname, (0, 5, 6), plotfuncs={5: 'semilogy'})
# test 5; single subplot
plotfile(fname, ('date', 'open', 'high', 'low', 'close'), subplots=False)
# test 6; labeling, if no names in csv-file
plotfile(fname2,
cols=(0, 1, 2),
delimiter=' ',
names=['$x$', '$f(x)=x^2$', '$f(x)=x^3$'])
# test 7; more than one file per figure--illustrated here with a single file
plotfile(fname2, cols=(0, 1), delimiter=' ')
plotfile(fname2, cols=(0, 2), newfig=False,
from pylab import plotfile, show, gca
import matplotlib.cbook as cbook
fname = cbook.get_sample_data('/Users/joy/Dropbox/utsa/research/mascots/results/var_interval-1.csv.csv', asfileobj=False)
#fname2 = cbook.get_sample_data('data_x_x2_x3.csv', asfileobj=False)
# test 1; u
plotfile(fname, (0, 1), subplots=False)
show()
