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From: <ch...@se...> - 2006-12-22 07:47:29
|
Help! I'm trying to make multiple plots in a web app and old plots seem to
stick around and show up on new plots!??!
Is there someway to "erase the canvas" or avoid this happening?
Sound familiar?
growth function below is the first plot that is ok.
management function below is the one that has growth plot in it.
Chris
=====================================================================
import matplotlib
matplotlib.use("Agg")
import pylab
BACKGROUND_COLOR = "#ffffff"
def growth(company):
"""
Plots Growth plot.
"""
# Generates figure_, plot_ and functions.
figure_ = pylab.figure()
plot_ = pylab.subplot(111, axisbg=BACKGROUND_COLOR)
years_plus_5 = company.years + range(max(company.years) + 1,
max(company.years) + 6)
five_percent = [1.05 ** (y - min(company.years))
for y in years_plus_5]
ten_percent = [1.10 ** (y - min(company.years))
for y in years_plus_5]
fifteen_percent = [1.15 ** (y - min(company.years))
for y in years_plus_5]
twenty_percent = [1.20 ** (y - min(company.years))
for y in years_plus_5]
twenty_five_percent = [1.25 ** (y - min(company.years))
for y in years_plus_5]
thirty_percent = [1.30 ** (y - min(company.years))
for y in years_plus_5]
scaled_sales = [50.0 * e / company.sales[-1]
for e in company.sales]
scaled_earnings = [30.0 * e / company.earnings[-1]
for e in company.earnings]
scaled_pretax_profit = [10.0 * e / company.pretax_profit[-1]
for e in company.pretax_profit]
scaled_low_price = [100.0 * e / company.high_price[-1]
for e in company.low_price]
scaled_high_price = [100.0 * e / company.high_price[-1]
for e in company.high_price]
functions = plot_.semilogy(company.years, scaled_sales,
company.years, scaled_earnings,
company.years, scaled_pretax_profit,
years_plus_5, five_percent,
years_plus_5, ten_percent,
years_plus_5, fifteen_percent,
years_plus_5, twenty_percent,
years_plus_5, twenty_five_percent,
years_plus_5, thirty_percent)
# Adds price bars and sets their thickness.
offset = 0.12
for i, y in enumerate(company.years):
plot_.semilogy((y, y),
(scaled_low_price[i], scaled_high_price[i]),
linewidth="2.2", color = "black", zorder = 1)
plot_.semilogy((y - offset, y + offset),
(scaled_low_price[i], scaled_low_price[i]),
linewidth="2.2", color = "black", zorder = 1)
plot_.semilogy((y - offset, y + offset),
(scaled_high_price[i], scaled_high_price[i]),
linewidth="2.2", color = "black", zorder = 1)
# Adds sales, earnings and pretax_profit points.
points = []
points.append(pylab.scatter(company.years, scaled_sales, 200,
c = BACKGROUND_COLOR))
points.append(pylab.scatter(company.years, scaled_earnings, 200,
c = BACKGROUND_COLOR))
points.append(pylab.scatter(company.years, scaled_pretax_profit, 200,
c = BACKGROUND_COLOR))
# Configures points.
pylab.setp(points[0], linewidth = "1.3", edgecolor = "g", zorder = 12)
pylab.setp(points[1], linewidth = "1.3", edgecolor = "b", zorder = 11)
pylab.setp(points[2], linewidth = "1.3", edgecolor = "r", zorder = 10)
# Configures earnings, sales and pretax_profit.
pylab.setp(functions[0], linewidth = "3.0", color = "g", zorder = 9)
pylab.setp(functions[1], linewidth = "3.0", color = "b", zorder = 8)
pylab.setp(functions[2], linewidth = "3.0", color = "r", zorder = 7)
# Configures percentage growth.
for f in functions[-6:]:
pylab.setp(f, linewidth = "0.5", color = "k", zorder = 5)
# Configures grid.
plot_.grid(True)
grid_ = plot_.get_xgridlines() + plot_.get_ygridlines()
pylab.setp(grid_, linestyle = "-", color = "k", linewidth = "0.5",
zorder = 5)
plot_.set_axisbelow(True)
# Sets view range for both axes.
pylab.axis([min(company.years), max(company.years) + 5, 1, 200])
# Specifies tick values, color, size and boldness.
x_tick_values = years_plus_5
x_tick_labels = len(x_tick_values) * [""]
for i in range(1, len(x_tick_values), 2):
x_tick_labels[i] = str(x_tick_values[i])
pylab.xticks(x_tick_values, x_tick_labels,
color = "k", fontsize = 15, fontweight = "bold")
y_tick_values = range(1, 11, 1) + range(10, 110, 10) + [200]
y_tick_labels = len(y_tick_values) * [""]
for e in [1, 5, 10, 50, 100, 200]:
y_tick_labels[y_tick_values.index(e)] = str(e)
pylab.yticks(y_tick_values, y_tick_labels,
color = "k", fontsize = 15, fontweight = "bold")
# Adds labels for percentage growth lines.
pylab.text(max(years_plus_5), 2.0, " 5%", fontsize = 15)
pylab.text(max(years_plus_5), 3.8, " 10%", fontsize = 15)
pylab.text(max(years_plus_5), 7.0, " 15%", fontsize = 15)
pylab.text(max(years_plus_5), 13.0, " 20%", fontsize = 15)
pylab.text(max(years_plus_5), 23.0, " 25%", fontsize = 15)
pylab.text(max(years_plus_5), 40.0, " 30%", fontsize = 15)
# Adds labels for earnings, sales and pretax profit points.
for c in zip(company.years, scaled_sales):
pylab.text(c[0], c[1], "S",
horizontalalignment = 'center',
verticalalignment = 'center',
color = "g",
clip_on = True,
zorder = 12,
fontweight = "bold",
fontsize = 15)
for c in zip(company.years, scaled_earnings):
pylab.text(c[0], c[1], "E",
horizontalalignment = 'center',
verticalalignment = 'center',
color = "b",
clip_on = True,
zorder = 11,
fontweight = "bold",
fontsize = 15)
for c in zip(company.years, scaled_pretax_profit):
pylab.text(c[0], c[1], "P",
horizontalalignment = 'center',
verticalalignment = 'center',
color = "r",
clip_on = True,
zorder = 10,
fontweight = "bold",
fontsize = 15)
# Sets background of figure to be transparent.
figure_.figurePatch.set_alpha(0.0)
# Creates a PNG file.
pylab.savefig("gnustocks/static/images/growth_plot.png", dpi = (100))
def management(company):
figure_ = pylab.figure()
t = pylab.arange(0.0, 2.0, 0.01)
import math
s = pylab.sin(2*math.pi*t)
pylab.plot(t, s, linewidth=1.0)
pylab.xlabel('time (s)')
pylab.ylabel('voltage (mV)')
pylab.title('About as simple as it gets, folks')
pylab.grid(True)
pylab.savefig("gnustocks/static/images/management.png", dpi = (100))
|
|
From: Eric F. <ef...@ha...> - 2006-12-22 09:17:25
|
Try putting
pylab.close()
after each pylab.savefig()
Eric
ch...@se... wrote:
> Help! I'm trying to make multiple plots in a web app and old plots seem to
> stick around and show up on new plots!??!
>
> Is there someway to "erase the canvas" or avoid this happening?
>
> Sound familiar?
>
> growth function below is the first plot that is ok.
> management function below is the one that has growth plot in it.
>
> Chris
>
> =====================================================================
>
> import matplotlib
> matplotlib.use("Agg")
> import pylab
>
> BACKGROUND_COLOR = "#ffffff"
>
> def growth(company):
> """
> Plots Growth plot.
> """
>
> # Generates figure_, plot_ and functions.
>
> figure_ = pylab.figure()
> plot_ = pylab.subplot(111, axisbg=BACKGROUND_COLOR)
> years_plus_5 = company.years + range(max(company.years) + 1,
> max(company.years) + 6)
> five_percent = [1.05 ** (y - min(company.years))
> for y in years_plus_5]
> ten_percent = [1.10 ** (y - min(company.years))
> for y in years_plus_5]
> fifteen_percent = [1.15 ** (y - min(company.years))
> for y in years_plus_5]
> twenty_percent = [1.20 ** (y - min(company.years))
> for y in years_plus_5]
> twenty_five_percent = [1.25 ** (y - min(company.years))
> for y in years_plus_5]
> thirty_percent = [1.30 ** (y - min(company.years))
> for y in years_plus_5]
> scaled_sales = [50.0 * e / company.sales[-1]
> for e in company.sales]
> scaled_earnings = [30.0 * e / company.earnings[-1]
> for e in company.earnings]
> scaled_pretax_profit = [10.0 * e / company.pretax_profit[-1]
> for e in company.pretax_profit]
> scaled_low_price = [100.0 * e / company.high_price[-1]
> for e in company.low_price]
> scaled_high_price = [100.0 * e / company.high_price[-1]
> for e in company.high_price]
> functions = plot_.semilogy(company.years, scaled_sales,
> company.years, scaled_earnings,
> company.years, scaled_pretax_profit,
> years_plus_5, five_percent,
> years_plus_5, ten_percent,
> years_plus_5, fifteen_percent,
> years_plus_5, twenty_percent,
> years_plus_5, twenty_five_percent,
> years_plus_5, thirty_percent)
>
> # Adds price bars and sets their thickness.
>
> offset = 0.12
> for i, y in enumerate(company.years):
> plot_.semilogy((y, y),
> (scaled_low_price[i], scaled_high_price[i]),
> linewidth="2.2", color = "black", zorder = 1)
> plot_.semilogy((y - offset, y + offset),
> (scaled_low_price[i], scaled_low_price[i]),
> linewidth="2.2", color = "black", zorder = 1)
> plot_.semilogy((y - offset, y + offset),
> (scaled_high_price[i], scaled_high_price[i]),
> linewidth="2.2", color = "black", zorder = 1)
>
> # Adds sales, earnings and pretax_profit points.
>
> points = []
> points.append(pylab.scatter(company.years, scaled_sales, 200,
> c = BACKGROUND_COLOR))
> points.append(pylab.scatter(company.years, scaled_earnings, 200,
> c = BACKGROUND_COLOR))
> points.append(pylab.scatter(company.years, scaled_pretax_profit, 200,
> c = BACKGROUND_COLOR))
>
> # Configures points.
>
> pylab.setp(points[0], linewidth = "1.3", edgecolor = "g", zorder = 12)
> pylab.setp(points[1], linewidth = "1.3", edgecolor = "b", zorder = 11)
> pylab.setp(points[2], linewidth = "1.3", edgecolor = "r", zorder = 10)
>
> # Configures earnings, sales and pretax_profit.
>
> pylab.setp(functions[0], linewidth = "3.0", color = "g", zorder = 9)
> pylab.setp(functions[1], linewidth = "3.0", color = "b", zorder = 8)
> pylab.setp(functions[2], linewidth = "3.0", color = "r", zorder = 7)
>
> # Configures percentage growth.
>
> for f in functions[-6:]:
> pylab.setp(f, linewidth = "0.5", color = "k", zorder = 5)
>
> # Configures grid.
>
> plot_.grid(True)
> grid_ = plot_.get_xgridlines() + plot_.get_ygridlines()
> pylab.setp(grid_, linestyle = "-", color = "k", linewidth = "0.5",
> zorder = 5)
> plot_.set_axisbelow(True)
>
> # Sets view range for both axes.
>
> pylab.axis([min(company.years), max(company.years) + 5, 1, 200])
>
> # Specifies tick values, color, size and boldness.
>
> x_tick_values = years_plus_5
> x_tick_labels = len(x_tick_values) * [""]
> for i in range(1, len(x_tick_values), 2):
> x_tick_labels[i] = str(x_tick_values[i])
> pylab.xticks(x_tick_values, x_tick_labels,
> color = "k", fontsize = 15, fontweight = "bold")
> y_tick_values = range(1, 11, 1) + range(10, 110, 10) + [200]
> y_tick_labels = len(y_tick_values) * [""]
> for e in [1, 5, 10, 50, 100, 200]:
> y_tick_labels[y_tick_values.index(e)] = str(e)
> pylab.yticks(y_tick_values, y_tick_labels,
> color = "k", fontsize = 15, fontweight = "bold")
>
> # Adds labels for percentage growth lines.
>
> pylab.text(max(years_plus_5), 2.0, " 5%", fontsize = 15)
> pylab.text(max(years_plus_5), 3.8, " 10%", fontsize = 15)
> pylab.text(max(years_plus_5), 7.0, " 15%", fontsize = 15)
> pylab.text(max(years_plus_5), 13.0, " 20%", fontsize = 15)
> pylab.text(max(years_plus_5), 23.0, " 25%", fontsize = 15)
> pylab.text(max(years_plus_5), 40.0, " 30%", fontsize = 15)
>
> # Adds labels for earnings, sales and pretax profit points.
>
> for c in zip(company.years, scaled_sales):
> pylab.text(c[0], c[1], "S",
> horizontalalignment = 'center',
> verticalalignment = 'center',
> color = "g",
> clip_on = True,
> zorder = 12,
> fontweight = "bold",
> fontsize = 15)
> for c in zip(company.years, scaled_earnings):
> pylab.text(c[0], c[1], "E",
> horizontalalignment = 'center',
> verticalalignment = 'center',
> color = "b",
> clip_on = True,
> zorder = 11,
> fontweight = "bold",
> fontsize = 15)
> for c in zip(company.years, scaled_pretax_profit):
> pylab.text(c[0], c[1], "P",
> horizontalalignment = 'center',
> verticalalignment = 'center',
> color = "r",
> clip_on = True,
> zorder = 10,
> fontweight = "bold",
> fontsize = 15)
>
> # Sets background of figure to be transparent.
>
> figure_.figurePatch.set_alpha(0.0)
>
> # Creates a PNG file.
>
> pylab.savefig("gnustocks/static/images/growth_plot.png", dpi = (100))
>
> def management(company):
> figure_ = pylab.figure()
>
> t = pylab.arange(0.0, 2.0, 0.01)
> import math
> s = pylab.sin(2*math.pi*t)
> pylab.plot(t, s, linewidth=1.0)
>
> pylab.xlabel('time (s)')
> pylab.ylabel('voltage (mV)')
> pylab.title('About as simple as it gets, folks')
> pylab.grid(True)
> pylab.savefig("gnustocks/static/images/management.png", dpi = (100))
>
> -------------------------------------------------------------------------
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|
|
From: <ch...@se...> - 2006-12-22 17:09:05
|
On Thu, Dec 21, 2006 at 10:16:25PM -1000, Eric Firing wrote: > Try putting > > pylab.close() > > after each pylab.savefig() Thanks for the email. That didn't fix it for some reason. Any else I'm missing? I'm wondering if there is some way to tell Maplotlib to create a DIFFERENT figure rather than mixing them all together. Chris |
|
From: Alan G I. <ai...@am...> - 2006-12-22 17:19:11
|
On Fri, 22 Dec 2006, ch...@se... apparently wrote:=20 > I'm wondering if there is some way to tell Maplotlib to=20 > create a DIFFERENT figure=20 It looks like you are using pylab? How about pylab.figure()? Cheers, Alan Isaac |
|
From: <ch...@se...> - 2006-12-22 18:13:47
|
On Fri, Dec 22, 2006 at 12:21:44PM -0500, Alan G Isaac wrote: > On Fri, 22 Dec 2006, ch...@se... apparently wrote: > > I'm wondering if there is some way to tell Maplotlib to > > create a DIFFERENT figure > > It looks like you are using pylab? > How about pylab.figure()? > Thanks for email. Yes 1st message in this thread has code to create each plot. Each one does a 'figure_ = pylab.figure()' already. chris |
|
From: Alan G I. <ai...@am...> - 2006-12-22 18:22:43
|
On Fri, 22 Dec 2006, ch...@se... apparently wrote:=20 > 1st message in this thread has code to create each plot. =20 > Each one does a 'figure_ =3D pylab.figure()' already.=20 Sorry I missed the thread, but each call to pylab.figure()=20 will give you a new active figure. Everything you plot will=20 then be plotted to that figure. Previous plots will not be=20 erased until you explicitly remove them. You can also get=20 the axes for a particular figure and plot directly to the=20 axis. Probably you are not creating new figures when you think you=20 are... hth, Alan Isaac |
|
From: Eric F. <ef...@ha...> - 2006-12-22 18:54:52
|
Alan G Isaac wrote: > On Fri, 22 Dec 2006, ch...@se... apparently wrote: >> 1st message in this thread has code to create each plot. >> Each one does a 'figure_ = pylab.figure()' already. > > Sorry I missed the thread, but each call to pylab.figure() > will give you a new active figure. Everything you plot will > then be plotted to that figure. Previous plots will not be > erased until you explicitly remove them. You can also get > the axes for a particular figure and plot directly to the > axis. > > Probably you are not creating new figures when you think you > are... I'm puzzled. The call to pylab.close() after the savefig should completely wipe out the current figure, shouldn't it? And even without the close (which certainly should be used anyway), each function starts with a call to pylab.figure() which should start a *new* figure. I can't look into it now, though. Eric > > hth, > Alan Isaac |
|
From: Alan G I. <ai...@am...> - 2006-12-22 19:13:05
|
>> On Fri, 22 Dec 2006, ch...@se... apparently wrote:=20 >>> 1st message in this thread has code to create each plot.=20 >>> Each one does a 'figure_ =3D pylab.figure()' already.=20 > Alan G Isaac wrote:=20 >> Sorry I missed the thread, but each call to pylab.figure()=20 >> will give you a new active figure. Everything you plot will=20 >> then be plotted to that figure. Previous plots will not be=20 >> erased until you explicitly remove them. You can also get=20 >> the axes for a particular figure and plot directly to the=20 >> axis.=20 >> Probably you are not creating new figures when you think you=20 >> are...=20 On Fri, 22 Dec 2006, Eric Firing apparently wrote:=20 > I'm puzzled. The call to pylab.close() after the savefig should=20 > completely wipe out the current figure, shouldn't it?=20 Just because the figure window is closed does not mean the figure is deleted. Chris apparently maintains a reference to the figure? > And even without the close (which certainly should be used anyway), each= =20 > function starts with a call to pylab.figure() which should start a new=20 > figure.=20 Right! This my comment above. Cheers, Alan Isaac |
|
From: Alan G I. <ai...@am...> - 2006-12-22 20:43:56
|
> On Fri, Dec 22, 2006 at 02:15:42PM -0500, Alan G Isaac wrote: >> Just because the figure window is closed does not >> mean the figure is deleted. Chris apparently >> maintains a reference to the figure? On Fri, 22 Dec 2006, ch...@se... apparently wrote: > I just save a PNG on hard drive and load it when needed. I don't know > how to store a reference to PNG and/or if that would be a problem. All this is happening before your (final) save to the PNG file. Somehow you are telling Matplotlib to plot repeatedly to the same figure even though you want it to plot to different figures, if I have understood you. If all else fails as you search for how you are doing this, try explicitly naming each figure: fig1 = pylab.figure(figsize=(figw,figh)) ax1 = fig.gca() ax1.plot(x,y, 'k', label="My Title") fig1.savefig(workdir+'\\'+file_name) Cheers, Alan Isaac |
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