Matplotlib axes label

[John Henry]

I've been asking this question at the matplotlib user list and never
gotten an answer. I am hoping that there are matplotlib users here
that can help.

My problem with matplotlib's way of handling axes label is illustrated
by this example:

http://www.scipy.org/Cookbook/Matplotlib/MulticoloredLine

Notice that the y-axis goes from (-1.1, 1.1) but the first label is at
-1.0. I really don't like that because when I read values off the
graph, I have to keep reminding myself that the origin is at -1.1.
This may seem trivial but if you have to think, walk, chew gums at the
same time you're reading the graph, it gets annoying - particularly if
you have to read lots of these graphs.

Is there a way to force the label to start at -1.1 instead of -1.0?

Thanks,

[attn.steven.kuo@gmail.com]

Re: Matplotlib axes label

On Mar 1, 3:10 pm, "John Henry" <john106he...@h otmail.comwrote :

I've been asking this question at the matplotlib user list and never
gotten an answer. I am hoping that there are matplotlib users here
that can help.
>
My problem with matplotlib's way of handling axes label is illustrated
by this example:
>

http://www.scipy.org/Cookbook/Matplotlib/MulticoloredLine

>
Notice that the y-axis goes from (-1.1, 1.1) but the first label is at
-1.0.

(snipped)

Is there a way to force the label to start at -1.1 instead of -1.0?
>
Thanks,

You can try adjusting the labels and ticks
using matplotlib.tick er.

To the example you cited, one can add

from matplotlib.tick er import MultipleLocator , FormatStrFormat ter

# ...

minorLocator = MultipleLocator (0.1)
minorFormattor = FormatStrFormat ter('%0.1f')
ax.yaxis.set_mi nor_locator(min orLocator)
ax.yaxis.set_mi nor_formatter(m inorFormattor)

show()

--
Hope this helps,
Steven

[John Henry]

Re: Matplotlib axes label

On Mar 1, 9:53 pm, attn.steven.... @gmail.com wrote:

On Mar 1, 3:10 pm, "John Henry" <john106he...@h otmail.comwrote :
>

I've been asking this question at the matplotlib user list and never
gotten an answer. I am hoping that there are matplotlib users here
that can help.

>

My problem with matplotlib's way of handling axes label is illustrated
by this example:

>

http://www.scipy.org/Cookbook/Matplo...lticoloredLine

>

Notice that the y-axis goes from (-1.1, 1.1) but the first label is at
-1.0.

>
(snipped)
>

Is there a way to force the label to start at -1.1 instead of -1.0?

>

Thanks,

>
You can try adjusting the labels and ticks
using matplotlib.tick er.
>
To the example you cited, one can add
>
from matplotlib.tick er import MultipleLocator , FormatStrFormat ter
>
# ...
>
minorLocator = MultipleLocator (0.1)
minorFormattor = FormatStrFormat ter('%0.1f')
ax.yaxis.set_mi nor_locator(min orLocator)
ax.yaxis.set_mi nor_formatter(m inorFormattor)
>
show()
>
--
Hope this helps,
Steven

Thank you for the response. Yes, adding those lines did work.

But what exactly is going on here? Why would adding these two lines
works?

Thanks,

[John Henry]

Re: Matplotlib axes label

On Mar 1, 10:07 pm, "John Henry" <john106he...@h otmail.comwrote :

On Mar 1, 9:53 pm, attn.steven.... @gmail.com wrote:
>
>
>

On Mar 1, 3:10 pm, "John Henry" <john106he...@h otmail.comwrote :

>

I've been asking this question at the matplotlib user list and never
gotten an answer. I am hoping that there are matplotlib users here
that can help.

>

My problem with matplotlib's way of handling axes label is illustrated
by this example:

>

>http://www.scipy.org/Cookbook/Matplo...lticoloredLine

>

Notice that the y-axis goes from (-1.1, 1.1) but the first label is at
-1.0.

>

(snipped)

>

Is there a way to force the label to start at -1.1 instead of -1.0?

>

Thanks,

>

You can try adjusting the labels and ticks
using matplotlib.tick er.

>

To the example you cited, one can add

>

from matplotlib.tick er import MultipleLocator , FormatStrFormat ter

>

# ...

>

minorLocator = MultipleLocator (0.1)
minorFormattor = FormatStrFormat ter('%0.1f')
ax.yaxis.set_mi nor_locator(min orLocator)
ax.yaxis.set_mi nor_formatter(m inorFormattor)

>

show()

>

--
Hope this helps,
Steven

>
Thank you for the response. Yes, adding those lines did work.
>
But what exactly is going on here? Why would adding these two lines
works?
>
Thanks,

Okay, I played with the ticker formater and locator routines.
Unfortunately, it doesn't help. The locator sets the major value and
the formatter determines how the axes label is formatted. It doesn't
gurantee that the first label starts at the origin. Half of my plots
works, and half of them doesn't.

[attn.steven.kuo@gmail.com]

Re: Matplotlib axes label

On Mar 2, 7:02 am, "John Henry" <john106he...@h otmail.comwrote :

On Mar 1, 10:07 pm, "John Henry" <john106he...@h otmail.comwrote :
>
>
>

On Mar 1, 9:53 pm, attn.steven.... @gmail.com wrote:

>

(snipped)

You can try adjusting the labels and ticks
using matplotlib.tick er.

>

To the example you cited, one can add

>

from matplotlib.tick er import MultipleLocator , FormatStrFormat ter

>

# ...

>

minorLocator = MultipleLocator (0.1)
minorFormattor = FormatStrFormat ter('%0.1f')
ax.yaxis.set_mi nor_locator(min orLocator)
ax.yaxis.set_mi nor_formatter(m inorFormattor)

>

show()

>
>

Thank you for the response. Yes, adding those lines did work.

>

But what exactly is going on here? Why would adding these two lines
works?

>

Thanks,

>
Okay, I played with the ticker formater and locator routines.
Unfortunately, it doesn't help. The locator sets the major value and
the formatter determines how the axes label is formatted. It doesn't
gurantee that the first label starts at the origin. Half of my plots
works, and half of them doesn't.

As default, matplotlib places labels and tick marks
at major ticks. Minor ticks are invisible as
a default.

The lines that I added turned on *minor*
ticks and their labels; I set them to appear
at integer multiples of 0.1 and I
formatted them as floating point numbers.

There's nothing to prevent you from
having minor ticks appear at intervals
that exceed those of major ticks. E.g.,

minorLocator = MultipleLocator (1.1)

# etc.

--
Hope this helps,
Steven

[John Henry]

Re: Matplotlib axes label

On Mar 2, 7:22 am, attn.steven.... @gmail.com wrote:

On Mar 2, 7:02 am, "John Henry" <john106he...@h otmail.comwrote :
>

On Mar 1, 10:07 pm, "John Henry" <john106he...@h otmail.comwrote :

>

On Mar 1, 9:53 pm, attn.steven.... @gmail.com wrote:

>
(snipped)
>
>
>

You can try adjusting the labels and ticks
using matplotlib.tick er.

>

To the example you cited, one can add

>

from matplotlib.tick er import MultipleLocator , FormatStrFormat ter

>

# ...

>

minorLocator = MultipleLocator (0.1)
minorFormattor = FormatStrFormat ter('%0.1f')
ax.yaxis.set_mi nor_locator(min orLocator)
ax.yaxis.set_mi nor_formatter(m inorFormattor)

>

show()

>

Thank you for the response. Yes, adding those lines did work.

>

But what exactly is going on here? Why would adding these two lines
works?

>

Thanks,

>

Okay, I played with the ticker formater and locator routines.
Unfortunately, it doesn't help. The locator sets the major value and
the formatter determines how the axes label is formatted. It doesn't
gurantee that the first label starts at the origin. Half of my plots
works, and half of them doesn't.

>
As default, matplotlib places labels and tick marks
at major ticks. Minor ticks are invisible as
a default.
>
The lines that I added turned on *minor*
ticks and their labels; I set them to appear
at integer multiples of 0.1 and I
formatted them as floating point numbers.
>
There's nothing to prevent you from
having minor ticks appear at intervals
that exceed those of major ticks. E.g.,
>
minorLocator = MultipleLocator (1.1)
>
# etc.
>
--
Hope this helps,
Steven

Thanks,