Rosetta
|
Variables | |
inputfiles = sys.argv[1:] | |
int | xcol = 0 |
int | ycol = 2 |
fig = plt.figure() | |
int | i = 1 |
inp = open(inputfile, 'r') | |
lines = inp.readlines() | |
list | xdat = [] |
list | ydat = [] |
dat = line.split() | |
x = float(dat[xcol]) | |
int | y = float(dat[ycol])*180/3.1416 |
list | range = [[0, 6], [-180, 180]] |
H | |
xedges | |
yedges | |
bins | |
list | extent = [yedges[0], yedges[-1], xedges[-1], xedges[0]] |
ctdatx = Counter(xdat) | |
ctdaty = Counter(ydat) | |
peakx = ctdatx.most_common(1) | |
peaky = ctdaty.most_common(1) | |
ax = fig.add_subplot(5,4,i) | |
interpolation | |
inputfile | |
fontsize | |
hist2d.ax = fig.add_subplot(5,4,i) |
hist2d.bins |
hist2d.ctdatx = Counter(xdat) |
hist2d.ctdaty = Counter(ydat) |
hist2d.dat = line.split() |
hist2d.fig = plt.figure() |
hist2d.fontsize |
hist2d.H |
int hist2d.i = 1 |
hist2d.inputfile |
hist2d.inputfiles = sys.argv[1:] |
hist2d.interpolation |
hist2d.lines = inp.readlines() |
hist2d.peakx = ctdatx.most_common(1) |
hist2d.peaky = ctdaty.most_common(1) |
hist2d.range = [[0, 6], [-180, 180]] |
int hist2d.xcol = 0 |
hist2d.xdat = [] |
hist2d.xedges |
int hist2d.ycol = 2 |
hist2d.ydat = [] |
hist2d.yedges |