On 2013/01/26 5:33 PM, Todamont wrote: > This is the relevant code: Thanks, but what would really help is not what you think is the relevant code, but a completely self-contained *minimal* script, so that I can run it as-is, then modify it (probably only slightly), and return the modified version.
I suspect that using plot_date and a few fake data points, you can reproduce the problem. I doubt that it matters whether you use pyplot with an interactive backend, or use the OO form with FigureCanvasAgg. Eric > > import sys, shutil > import matplotlib > from matplotlib.figure import Figure > from matplotlib.backends.backend_agg import FigureCanvasAgg > from mhd_scipy import load_mhd > from datetime import datetime > import matplotlib.dates as dates > import matplotlib.pyplot as plt > import numpy as np > import matplotlib.font_manager > from matplotlib.ticker import ScalarFormatter, FormatStrFormatter, > FuncFormatter > > ... > > fig=Figure(figsize=(5.5,2.4)) > pl=fig.add_subplot(111) > > pl.plot_date(zip(graphdate),zip(price),'-',color='white',lw='0.5',alpha=0.25) > pl.set_ylim([min(price),max(price)]) > ax2=pl.twinx() > ax2.set_ylim([min(price),max(price)]) > > # here is my attempt to force NON-SCIENTIFIC axes > 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]) > > #finally, render... > canvas=FigureCanvasAgg(fig) bigName = pyArgs[4] + "_big.png" # create > image name string.. > canvas.print_figure(bigName,dpi=200) # create date/timestamped file > print "Large line-graph Created" > > > So, if I pass this thing price data that includes only 1 trade, or just a > few trades that are within a cent or two of each other, that's when the > bizarre axis scaling happens... > > > > > > > -- > View this message in context: > http://matplotlib.1069221.n5.nabble.com/Matplotlib-INSISTS-on-using-scientific-notation-how-do-I-make-it-STOP-tp40320p40322.html > Sent from the matplotlib - users mailing list archive at Nabble.com. > > ------------------------------------------------------------------------------ > Master Visual Studio, SharePoint, SQL, ASP.NET, C# 2012, HTML5, CSS, > MVC, Windows 8 Apps, JavaScript and much more. Keep your skills current > with LearnDevNow - 3,200 step-by-step video tutorials by Microsoft > MVPs and experts. ON SALE this month only -- learn more at: > http://p.sf.net/sfu/learnnow-d2d > _______________________________________________ > Matplotlib-users mailing list > Matplotlib-users@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/matplotlib-users > ------------------------------------------------------------------------------ Master Visual Studio, SharePoint, SQL, ASP.NET, C# 2012, HTML5, CSS, MVC, Windows 8 Apps, JavaScript and much more. Keep your skills current with LearnDevNow - 3,200 step-by-step video tutorials by Microsoft MVPs and experts. ON SALE this month only -- learn more at: http://p.sf.net/sfu/learnnow-d2d _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
