Matplotlib-users Digest, Vol 72, Issue 25

Hi Mike,

About this question: TypeError: coercing to Unicode: need string or buffer, dict found

The version of matplotlib that i’m using is matplotlib-0.99.1-py2.6

And how do I remove the font cache in ~ / .matplotlib / fontList.cache

My Operating System is Windows.

Thanks,

···

On Wed, May 23, 2012 at 11:15 AM, <matplotlib-users-request@…1738…net> wrote:

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Today’s Topics:

  1. Re: Difference in show and output file (rajtendulkar)

  2. TypeError: coercing to Unicode: need string or buffer, dict

    found (Wal?ria Antunes David)

  3. Re: TypeError: coercing to Unicode: need string or buffer,

    dict found (Michael Droettboom)

  4. Re: barchart errorbars always in both directions (Benjamin Root)

  5. Re: Slow imshow when zooming or panning with several synced

    subplots (Sergi Pons Freixes)

  6. Re: barchart errorbars always in both directions

    (Meesters, Aesku.Kipp Institute)


Message: 1

Date: Wed, 23 May 2012 02:49:05 -0700 (PDT)

From: rajtendulkar <pranav.tendulkar@…287…>

Subject: Re: [Matplotlib-users] Difference in show and output file

To: matplotlib-users@lists.sourceforge.net

Message-ID: <33894599.post@…878…986…>

Content-Type: text/plain; charset=us-ascii

Just in case, if anyone needs the answer, I figured it out.

I used the transData transform in order to draw the lines correctly.

Here is the code -

The code below is to add the lines near the tick labels

fig = barGraph.fig

xAxisLim=barGraph.ax.xaxis.get_view_interval()

tickLocArray = barGraph.ax.xaxis.get_majorticklocs()

yStart=-70

yEnd=-0.5

line = Line2D([xAxisLim[0], xAxisLim[0]],

          [yStart,yEnd],linewidth=2, color='black',

           transform=barGraph.ax.transData)

fig.lines.append(line)

for i in xrange(11):

lnWidth=2

yStartOffset=0

if((i+1)%4 != 0):

    lnWidth=1

    yStartOffset=20

xOffset = tickLocArray[i] + (tickLocArray[i+1] - tickLocArray[i])/2

line = Line2D([xOffset, xOffset],

          [yStart+yStartOffset,yEnd],linewidth=lnWidth, color='black',

           transform=barGraph.ax.transData)

fig.lines.append(line)

line = Line2D([xAxisLim[1], xAxisLim[1]],

          [yStart,yEnd],linewidth=2, color='black',

           transform=barGraph.ax.transData)

fig.lines.append(line)

plt.figtext(0.247, 0.05, ‘1’)

plt.figtext(0.523, 0.05, ‘2’)

plt.figtext(0.797, 0.05, ‘4’)

Thank You!

Raj

rajtendulkar wrote:

Dear All,

I am trying to write a program in matplotlib to generate stacked bar

graphs.

My problem is that the commands - plt.show() and

self.fig.savefig(fileName) generate different outputs.

I tried different output formats like PDF, PNG, EPS. But the problem

remains the same.

This happens for the lines that I am trying to draw outside the plot.

I am trying to draw vertical lines between xticklabels.

I have uploaded the data file and the code file.

http://old.nabble.com/file/p33893817/data.dat data.dat

http://old.nabble.com/file/p33893817/matplot1.py matplot1.py

Could anyone explain how to resolve this problem?

Thank You,

Raj

View this message in context: http://old.nabble.com/Difference-in-show-and-output-file-tp33893817p33894599.html

Sent from the matplotlib - users mailing list archive at Nabble.com.


Message: 2

Date: Wed, 23 May 2012 09:16:09 -0300

From: Wal?ria Antunes David <waleriantunes@…287…>

Subject: [Matplotlib-users] TypeError: coercing to Unicode: need

    string or       buffer, dict found

To: Matplotlib Users matplotlib-users@lists.sourceforge.net

Message-ID:

    <CAEwvc_uK2icxVBzF5Aykka-_Mig4EoCNovgt2jPJHT=XQdVc2Q@...288...>

Content-Type: text/plain; charset=“iso-8859-1”

Hi,

Anyone know how to solve this error?

Exception Type: TypeError Exception Value: coercing to Unicode: need string

or buffer, dict found

Can you help me??

See mycode: http://dpaste.com/751460/

And see my Traceback: http://dpaste.com/750773/

Thanks,

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Message: 3

Date: Wed, 23 May 2012 08:29:48 -0400

From: Michael Droettboom <mdroe@…2527…>

Subject: Re: [Matplotlib-users] TypeError: coercing to Unicode: need

    string or buffer, dict found

To: matplotlib-users@lists.sourceforge.net

Message-ID: <4FBCD83C.6030109@…86…>

Content-Type: text/plain; charset=“iso-8859-1”

It’s a long shot, but have you tried removing the font cache in

~/.matplotlib/fontList.cache? What version of matplotlib are you using?

Mike

On 05/23/2012 08:16 AM, Wal?ria Antunes David wrote:

Hi,

Anyone know how to solve this error?

Exception Type: TypeError Exception Value: coercing to Unicode: need

string or buffer, dict found

Can you help me??

See mycode: http://dpaste.com/751460/

And see my Traceback: http://dpaste.com/750773/

Thanks,


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Message: 4

Date: Wed, 23 May 2012 08:55:42 -0400

From: Benjamin Root <ben.root@…83…1304…>

Subject: Re: [Matplotlib-users] barchart errorbars always in both

    directions

To: “Meesters, Aesku.Kipp Institute” <meesters@…4092…>

Cc: "matplotlib-users@lists.sourceforge.net"

    <matplotlib-users@lists.sourceforge.net>

Message-ID:

    <CANNq6F=aDPutpkRL815URKgQ6uOrkR8gxYZt7-G1s6UhQU_WBA@...83...288...>

Content-Type: text/plain; charset=“iso-8859-1”

On Wed, May 23, 2012 at 4:03 AM, Meesters, Aesku.Kipp Institute < > > meesters@…4092…> wrote:

Hi,

I’m following the example in the gallery to do a barchart plot (see

http://matplotlib.sourceforge.net/examples/api/barchart_demo.html ).

In contrast to the example I would like to see the error bars only above

the bars, so I tried

rects2 = ax.bar(ind+width, womenMeans, width, color=‘y’,

           yerr=stds, error_kw = {'barsabove': True,
                                  'ecolor'   : 'k'}

While the ‘ecolor’ argument gets accepted, ‘barsabove’ apparently has no

effect (error bars still point up and downwards) - yet, no warning /

error is triggered. Where is my mistake? Or is this a bug (still using

version 1.0.1) with a known work-around?

TIA

Chris

Chris,

I don’t think “barsabove” does what you want. By “above”, it means that

the errorbar is plotted in a layer on top of the plotting symbol rather

than in the layer under it. Both ends will be plotted.

To get what you want, you might want to try (Note: untested):

rects2 = ax.bar(ind+width, womenMeans, width, color=‘y’,

           yerr=np.vstack([[0]*len(stds), stds]), error_kw = {'ecolor'

: ‘k’})

When yerr is a 2xN numpy array, errorbars are plotted at y-yerr[0, :] and

y+yerr[1,:]. So, np.vstack creates a 2xN array where the first row is all

zeros and the second row is the stds values.

I hope that works for you!

Ben Root

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Message: 5

Date: Wed, 23 May 2012 15:04:21 +0200

From: Sergi Pons Freixes <sponsfreixes@…287…>

Subject: Re: [Matplotlib-users] Slow imshow when zooming or panning

    with several synced subplots

To: matplotlib-users@lists.sourceforge.net

Message-ID:

    <CAMxkOiPwj1bmSnSp4RBqSu+8E6f0DA9mK3scLLqegnGk8oxOgA@...288...>

Content-Type: text/plain; charset=ISO-8859-1

On Wed, May 23, 2012 at 11:00 AM, Guillaume Gay > > <guillaume@…4007…> wrote:

Hello

What is the size of a single image file? If they are very big, it is

better to do everything from processing to ploting at once for each file.

As stated below, each image is single-channel, of 4600x3840 pixels. As

you can see on the code, there is not much processing, just loading

the images and plotting them. What it’s slow is not the execution of

the code, is the interactive zooming and panning once the plots "are

in the screen".

It’s 15 images, single-channel, of 4600x3840 pixels each.

This is a lot of data. ?8bit or 16bit ?

They are floating point values (for example, from 0 to 45.xxx). If I

understood correctly, setting the vmin and vmax, matplotlib should

normalize the values to an appropriate number of bits.

for f in filelist:

everything should happen in this loop

? ? ?dataset = ncdf.Dataset(os.path.join(sys.argv[1],f), ‘r’)

? ? ?data.append(dataset.variables[variable][:])

instead of creating this big list, use a temporary array (which will be

overwritten)

? ? ?dataset.close()

? ? ?dates.append((f.split(’’)[2][:-3],f.split(’’)[1]))

Why? It’s true that this way at the beginning it eats a lot of RAM,

but then it is released after each pop() (and calculating the maximum

of all the data without plotting is needed to use the same

normalization level on all the plots). Anyway, the slowness ocurrs

during the interaction of the plot, not during the execution of the

code.


Message: 6

Date: Wed, 23 May 2012 14:14:05 +0000

From: “Meesters, Aesku.Kipp Institute” <meesters@…4092…>

Subject: Re: [Matplotlib-users] barchart errorbars always in both

    directions

To: “ben.root@…1304…” <ben.root@…1304…>

Cc: "matplotlib-users@lists.sourceforge.net"

    <matplotlib-users@lists.sourceforge.net>

Message-ID: <1337782494.2773.10.camel@…2758…>

Content-Type: text/plain; charset=“utf-8”

Thanks, Ben. This is indeed what I was looking for and gives the desired

behavior.

Thanks a lot!

Chris

On Wed, 2012-05-23 at 08:55 -0400, Benjamin Root wrote:

On Wed, May 23, 2012 at 4:03 AM, Meesters, Aesku.Kipp Institute > > > <meesters@…4092…> wrote:

    Hi,
    I'm following the example in the gallery to do a barchart plot
    (see
    [http://matplotlib.sourceforge.net/examples/api/barchart_demo.html](http://matplotlib.sourceforge.net/examples/api/barchart_demo.html) ).
    In contrast to the example I would like to see the error bars
    only above
    the bars, so I tried
    rects2 = ax.bar(ind+width, womenMeans, width, color='y',
                   yerr=stds, error_kw = {'barsabove': True,
                                          'ecolor'   : 'k'}
    While the 'ecolor' argument gets accepted, 'barsabove'
    apparently has no
    effect (error bars still point up and downwards) - yet, no
    warning /
    error is triggered. Where is my mistake? Or is this a bug
    (still using
    version 1.0.1) with a known work-around?
    TIA
    Chris

Chris,

I don’t think “barsabove” does what you want. By “above”, it means

that the errorbar is plotted in a layer on top of the plotting symbol

rather than in the layer under it. Both ends will be plotted.

To get what you want, you might want to try (Note: untested):

rects2 = ax.bar(ind+width, womenMeans, width, color=‘y’,

           yerr=np.vstack([[0]*len(stds), stds]), error_kw =

{‘ecolor’ : ‘k’})

When yerr is a 2xN numpy array, errorbars are plotted at y-yerr[0, :]

and y+yerr[1,:]. So, np.vstack creates a 2xN array where the first row

is all zeros and the second row is the stds values.

I hope that works for you!

Ben Root



Live Security Virtual Conference

Exclusive live event will cover all the ways today’s security and

threat landscape has changed and how IT managers can respond. Discussions

will include endpoint security, mobile security and the latest in malware

threats. http://www.accelacomm.com/jaw/sfrnl04242012/114/50122263/



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End of Matplotlib-users Digest, Vol 72, Issue 25