This is the relevant code: 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
