Ok, here is the distilled code that displays the scientific formatting
failure I'm trying to fix. I had to wait until the market gave me a snapshot
that triggered this bug. Here is a quick link to the image I get when I run
this program: http://imgur.com/77DUbZp
I greatly appreciate your help with this. Any suggestions are welcome. Also,
this code will become FOSS when it is completed. Do you think it is related
to the way I'm loading in the data with the "extent" command and then making
a subplot? I'm generating a custom heatmap of the market density for the
background, so I sort of need that...
#!/usr/bin/env python2.7
# coding: utf-8
import matplotlib
from matplotlib.figure import Figure
from matplotlib.backends.backend_agg import FigureCanvasAgg
from datetime import datetime
import matplotlib.dates as dates
import matplotlib.pyplot as plt
import numpy as np
from matplotlib.ticker import ScalarFormatter, FormatStrFormatter,
FuncFormatter
import matplotlib.image as mpimg
date = [ 734894.994583, 734894.995313, 734894.996042, 734894.997384,
734894.998032 ]
price = [ 17.37, 17.30001, 17.30001, 17.39, 17.39 ]
graphdate = []
for i in date:
graphdate.append(i)
graph = np.zeros((100,100,3))
fig=Figure(figsize=(5.5,2.4))
pl=fig.add_subplot(111)
image=pl.imshow(graph,aspect="auto",extent=(min(date),max(date),min(price),max(price)))
fig.subplots_adjust(top=0.92,bottom=0.15,left=0.1,right=0.95)
# add plot of value across time
pl.plot_date(zip(graphdate),zip(price),'-',color='blue',lw='1',alpha=1)
matplotlib.rcParams.update({'font.size': 5})
locator = dates.AutoDateLocator()
pl.set_ylim([min(price),max(price)])
ax2=pl.twinx()
ax2.set_ylim([min(price),max(price)])
formatter = ScalarFormatter()
formatter.set_scientific(False)
formatter.set_powerlimits((-1000000000,10000))
pl.yaxis.set_major_formatter(FuncFormatter(lambda x, pos: '%.0f'%x))
pl.yaxis.set_major_formatter(formatter)
pl.yaxis.set_minor_formatter(FuncFormatter(lambda x, pos: '%.0f'%x))
pl.yaxis.set_minor_formatter(formatter)
pl.set_autoscaley_on(False)
yfm = pl.yaxis.get_major_formatter()
yfm.set_powerlimits([ -100000000000, 10000])
ax2.yaxis.set_major_formatter(formatter)
ax2.yaxis.set_major_formatter(ScalarFormatter(useOffset=False))
ax2.yaxis.set_major_formatter(FuncFormatter(lambda x, pos: '%.0f'%x))
ax2.yaxis.set_major_formatter(formatter)
ax2.yaxis.set_minor_formatter(ScalarFormatter(useOffset=False))
ax2.yaxis.set_minor_formatter(FuncFormatter(lambda x, pos: '%.0f'%x))
ax2.yaxis.set_major_formatter(formatter)
ax2.set_autoscaley_on(False)
yfm = ax2.yaxis.get_major_formatter()
yfm.set_powerlimits([ -100000000000, 10000])
period = 298; # duration in seconds for this graph
seconds = dates.SecondLocator(interval=30) # plot by 30-second increment
secondsFmt = dates.DateFormatter('%-I:%M:%S%P',tz=None)
pl.xaxis.set_major_locator(seconds)
pl.xaxis.set_major_formatter(secondsFmt)
labels = pl.get_xticklabels()
for label in labels:
label.set_rotation(45)
pl.xaxis.grid(which='major',color='white', linestyle='--', linewidth=0.5,
alpha=0.15)
pl.xaxis.grid(which='minor',color='white', linestyle='--', linewidth=0.5,
alpha=0.15)
pl.yaxis.grid(which='major',color='white', linestyle='--', linewidth=0.5,
alpha=0.15)
pl.yaxis.grid(which='minor',color='white', linestyle='--', linewidth=0.5,
alpha=0.15)
canvas=FigureCanvasAgg(fig)
bigName = "sci_formatting_fail.png" # image name
canvas.print_figure(bigName,dpi=200) # create date/timestamped file
print "grapher completed"
--
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