matplotlib-users Mailing List for matplotlib

Looks like your very close.
I needed to change the months to short English form, change the line
 ax3.grid('True') to ax3.grid(True)
and add the line
 ax3.axvspan(*mdates.datestr2num(['05/18/2012', '06/30/2012']),
facecolor='g', alpha=0.5)
To get the box on the lower plot.
Hope that helps,
On 23 July 2012 20:42, Luciano Fleischfresser <l_...@ya...> wrote:
> I want to place a colored vertical range on my plot and came across the
> following example:
>
> http://stackoverflow.com/questions/8270981/in-a-matplotlib-plot-can-i-highlight-specific-x-value-ranges/8271438#8271438
>
> It shows what I am trying to do using axvspan.
> However, I was not able to reproduce the second plot with dates.
> Errors like 'invalid syntax' for color='red' and others prevented me from
> reproducing the plot.
> The demo from Matplotlib gallery worked fine for me. My plot also has dates
> on the x-axis.
>
> I am attaching code and data file. Hope someone can point me in the right
> direction.
>
> L Fleischfresser
>
> ------------------------------------------------------------------------------
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> threat landscape has changed and how IT managers can respond. Discussions
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I want to place a colored vertical range on my plot and came across the following example: 
http://stackoverflow.com/questions/8270981/in-a-matplotlib-plot-can-i-highlight-specific-x-value-ranges/8271438#8271438
It shows what I am trying to do using axvspan. 
However, I was not able to reproduce the second plot with dates. 
Errors like 'invalid syntax' for color='red' and others prevented me from reproducing the plot.
The demo from Matplotlib gallery worked fine for me. My plot also has dates on the x-axis.
I am attaching code and data file. Hope someone can point me in the right direction.
L Fleischfresser

You might want to look at the python textwrap module. That can take
your labels and automatically wrap them at a certain column width. See
(in addition to the official python docs)
http://www.doughellmann.com/PyMOTW/textwrap/
Jon
On Fri, 2012年07月20日 at 23:55 -0400, C M wrote:
> How possible would it be to wrap y axis tick labels after a certain
> text length? I have a horizontal bar plot where some bars' labels are
> too long and therefore cut off. I can scrunch the width of the whole
> plot to accommodate them, but I'd much rather wrap long text and allow
> a little more space to accommodate two lines. For examples:
> 
> I'd like to go from this:
> 
> a short axis label | ======================
> 
> A very long axis label that gets cut off | =============
> 
> 
> To this:
> a short axis label | ======================
> 
> A very long axis label | =============
> that gets cut off
> 
> 
> Is this possible or has it ever been done?
> 
> Thanks,
> Che
> 
> 
-- 
______________________________________________________________
Jonathan D. Slavin Harvard-Smithsonian CfA
js...@cf... 60 Garden Street, MS 83
phone: (617) 496-7981 Cambridge, MA 02138-1516
 cell: (781) 363-0035 USA
______________________________________________________________

On 23/07/2012 03:01, JonBL wrote:
>
> Using FuncFormatter with my conversion procedure has solved my problem. I did
> not use the Python datetime module to generate the tickmark labels as some
> of your examples suggested. Instead, my conversion procedure pulls the
> required formatted date string for an x-axis ticklabel date serial number
> from an Oracle database which is the source of my plotted data.
>
> This approach has also answered another question I had in mind - how do I
> get the x= co-ordinate displayed at the bottom of the figure, to report the
> formatted date rather than its serial number.
>
> I also had a response from Phil Elson who suggested using using
> FuncFormatter as well. Many thanks to both of you for your timely responses
> to my query.
>
> Regards,
> Jon
Brilliant :) I was just about to ask how to do this!!!
>
> Benjamin Root-2 wrote:
>>
>> On Sat, Jul 21, 2012 at 10:27 PM, JonBL <jc....@bi...> wrote:
>>
>>>
>>> I have a line plot where the x-axis values are numbers, with displayed
>>> tick
>>> mark values of 0, 100, 200 ... 500 - a total of 6 tick marks. These
>>> values
>>> represent the number of days since a certain date. I have a function
>>> which
>>> converts a number such as 100, to date string '23-Jun-11', which I want
>>> to
>>> display as the x-axis label instead of 100.
>>>
>>> Following the pypib example xaxis_props.py, and printing dir(label) for
>>> each
>>> label in the x-axis tick labels, I can see that a label object supports a
>>> number of methods that might assist in changing the text of tick mark
>>> labels. I was hoping to use the get_text() method to retrieve the label's
>>> text (eg, 100), transform this to a date string by my function, and then
>>> use
>>> the set_text() method to re-assign the displayed label.
>>>
>>> This approach does not work for me. The get_text() method returns a
>>> zero-length string (not None) for each label, and the set_text() method
>>> does
>>> not change the displayed tick mark values. But I can use the set_color()
>>> method to change the colour of displayed values as per example
>>> xaxis_props.py.
>>>
>>> Any suggestions on how to change the text of displayed x-axis tick marks?
>>>
>>> TIA,
>>> Jon
>>>
>>
>> Without example code, it would be difficult to determine what you are
>> doing
>> incorrectly. That being said, there is an easier solution. If you know
>> the start date, do the following:
>>
>> from datetime import datetime, timedelta
>> startdate = datetime.strptime(datestr, "%d-%m-%y) # you need to look up
>> the format character for named months.
>>
>> xdates = np.array([startdate + timedelta(days=i) for i in xrange(501)])
>> y = np.random.random(xdates.shape)
>>
>> plt.plot(xdates, y) # This should work, but plot_date() definitely will
>> work.
>>
>> Matplotlib recognizes the python datetime object and should format it for
>> you. You can even control the formatting. See the following examples:
>> http://matplotlib.sourceforge.net/examples/pylab_examples/date_demo_convert.html?highlight=datetime%20codex
>> http://matplotlib.sourceforge.net/examples/pylab_examples/date_demo2.html?highlight=datetime%20codex
>> http://matplotlib.sourceforge.net/examples/api/date_demo.html?highlight=datetime%20codex
>> http://matplotlib.sourceforge.net/examples/pylab_examples/date_demo1.html?highlight=datetime%20codex
>>
>>
>> I hope this helps!
>> 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/
>> _______________________________________________
>> Matplotlib-users mailing list
>> Mat...@li...
>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>
>>
>
-- 
Cheers.
Mark Lawrence.

On Mon, Jul 23, 2012 at 05:50:41AM +0200, klo uo wrote:
> Thanks for your reply Ben,
> 
> 
> On Sun, Jul 22, 2012 at 4:39 PM, Benjamin Root wrote:
> > As for the assertion that HTML colors aren't used, that is incorrect. The
> > named colors follow the HTML list. Here is our list:
> >
> > https://github.com/matplotlib/matplotlib/blob/master/lib/matplotlib/colors.py#L62
> >
> > and here is the html list:
> >
> > http://html-color-codes.info/color-names/
> 
> sure that's correct, I just meant about default defined colors with
> abbrev color names, like 'y' (#BFBF00) in not 'yellow' (#FFFF00) etc.
>
Are you saying the following two examples
ax.plot(x, y, 'yellow')
ax.plot(x, y, 'y')
produce different coloured lines? Or are you saying yellow should always
be #FFFF00?
> 
> ------------------------------------------------------------------------------
> 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/
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
-- 
Damon McDougall
http://damon-is-a-geek.com
B2.39
Mathematics Institute
University of Warwick
Coventry
West Midlands
CV4 7AL
United Kingdom

Ah, sorry, forgot to reply to all. Please see the solution I provided to Jon.
---------- Forwarded message ----------
Date: 22 July 2012 15:08
Subject: Re: [Matplotlib-users] How to Change Axis Tick Mark Labels
Sounds like you want to use a FunctionFormatter rather than modifying
the ticks themselves. There is an example here
(http://stackoverflow.com/questions/8271564/matplotlib-comma-separated-number-format-for-axis).
Essentially:
import matplotlib.pyplot as plt
import matplotlib.ticker as mticker
def square_braces(tick_val, tick_pos):
 """Put square braces around the given tick_val """
 return '<%s>' % tick_val
ax = plt.axes()
plt(range(10))
ax.yaxis.set_major_formatter(mticker.FuncFormatter(func))
plt.show()
HTH,

Thanks for your reply Ben,
On Sun, Jul 22, 2012 at 4:39 PM, Benjamin Root wrote:
> As for the assertion that HTML colors aren't used, that is incorrect. The
> named colors follow the HTML list. Here is our list:
>
> https://github.com/matplotlib/matplotlib/blob/master/lib/matplotlib/colors.py#L62
>
> and here is the html list:
>
> http://html-color-codes.info/color-names/
sure that's correct, I just meant about default defined colors with
abbrev color names, like 'y' (#BFBF00) in not 'yellow' (#FFFF00) etc.

Using FuncFormatter with my conversion procedure has solved my problem. I did
not use the Python datetime module to generate the tickmark labels as some
of your examples suggested. Instead, my conversion procedure pulls the
required formatted date string for an x-axis ticklabel date serial number
from an Oracle database which is the source of my plotted data.
This approach has also answered another question I had in mind - how do I
get the x= co-ordinate displayed at the bottom of the figure, to report the
formatted date rather than its serial number. 
I also had a response from Phil Elson who suggested using using
FuncFormatter as well. Many thanks to both of you for your timely responses
to my query.
Regards,
 Jon
Benjamin Root-2 wrote:
> 
> On Sat, Jul 21, 2012 at 10:27 PM, JonBL <jc....@bi...> wrote:
> 
>>
>> I have a line plot where the x-axis values are numbers, with displayed
>> tick
>> mark values of 0, 100, 200 ... 500 - a total of 6 tick marks. These
>> values
>> represent the number of days since a certain date. I have a function
>> which
>> converts a number such as 100, to date string '23-Jun-11', which I want
>> to
>> display as the x-axis label instead of 100.
>>
>> Following the pypib example xaxis_props.py, and printing dir(label) for
>> each
>> label in the x-axis tick labels, I can see that a label object supports a
>> number of methods that might assist in changing the text of tick mark
>> labels. I was hoping to use the get_text() method to retrieve the label's
>> text (eg, 100), transform this to a date string by my function, and then
>> use
>> the set_text() method to re-assign the displayed label.
>>
>> This approach does not work for me. The get_text() method returns a
>> zero-length string (not None) for each label, and the set_text() method
>> does
>> not change the displayed tick mark values. But I can use the set_color()
>> method to change the colour of displayed values as per example
>> xaxis_props.py.
>>
>> Any suggestions on how to change the text of displayed x-axis tick marks?
>>
>> TIA,
>> Jon
>>
> 
> Without example code, it would be difficult to determine what you are
> doing
> incorrectly. That being said, there is an easier solution. If you know
> the start date, do the following:
> 
> from datetime import datetime, timedelta
> startdate = datetime.strptime(datestr, "%d-%m-%y) # you need to look up
> the format character for named months.
> 
> xdates = np.array([startdate + timedelta(days=i) for i in xrange(501)])
> y = np.random.random(xdates.shape)
> 
> plt.plot(xdates, y) # This should work, but plot_date() definitely will
> work.
> 
> Matplotlib recognizes the python datetime object and should format it for
> you. You can even control the formatting. See the following examples:
> http://matplotlib.sourceforge.net/examples/pylab_examples/date_demo_convert.html?highlight=datetime%20codex
> http://matplotlib.sourceforge.net/examples/pylab_examples/date_demo2.html?highlight=datetime%20codex
> http://matplotlib.sourceforge.net/examples/api/date_demo.html?highlight=datetime%20codex
> http://matplotlib.sourceforge.net/examples/pylab_examples/date_demo1.html?highlight=datetime%20codex
> 
> 
> I hope this helps!
> 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/
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
> 
> 
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