date:20120723

Re: [Matplotlib-users] How to Change Axis Tick Mark Labels

2012-07-23 Thread Phil Elson

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,

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Re: [Matplotlib-users] Possible to change MPL color scheme?

2012-07-23 Thread Damon McDougall

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' (#00) 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 #00?

 
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Re: [Matplotlib-users] How to Change Axis Tick Mark Labels

2012-07-23 Thread Mark Lawrence

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.bl...@bigpond.net.au 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

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Cheers.

Mark Lawrence.

[Matplotlib-users] axvspan with dates on x-axis

2012-07-23 Thread Luciano Fleischfresser

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

NotasFaltasdoisgraficos.py
Description: Binary data


NotasFaltasMec22012.csv
Description: Binary data
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Re: [Matplotlib-users] axvspan with dates on x-axis

2012-07-23 Thread Phil Elson

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_...@yahoo.com 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

Re: [Matplotlib-users] How to Change Axis Tick Mark Labels

Re: [Matplotlib-users] Possible to change MPL color scheme?

Re: [Matplotlib-users] How to Change Axis Tick Mark Labels

[Matplotlib-users] axvspan with dates on x-axis

Re: [Matplotlib-users] axvspan with dates on x-axis

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