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?
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:
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.blake@...636...> 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.
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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!!!
···
On 23/07/2012 03:01, JonBL wrote:
Benjamin Root-2 wrote:
On Sat, Jul 21, 2012 at 10:27 PM, JonBL <jc.blake@...636...> 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.
------------------------------------------------------------------------------
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
Matplotlib-users@lists.sourceforge.net matplotlib-users List Signup and Options
I was just about to ask how to do this!!!