Reading it one day after I can tell it’s really unclear, sorry about that…
So, I want to plot a line, but controlling the labels on the tickers of the x axis. For instance, if I’m plotting (1000, 5), (2000, 10), (3000, 10), the ticks on the x axis might show 1000 2000 3000 or 1 2 3 x1e3. I want to control it, set it to 1 and obtain the first example, and set to 1000 and obtain the second one.
Thanks,
Fernando.
···
On Sun, Sep 14, 2008 at 8:53 PM, Eric Firing <efiring@…202…> wrote:
fernandof wrote:
Googled, looked for documentation, even tried the source code but couldn’t
find it.
You may need to be more precise in describing what you want to do; it is far from clear to me from your subject line.
So, I want to plot a line, but controlling the labels on the tickers of the x axis. For instance, if I'm plotting (1000, 5), (2000, 10), (3000, 10), the ticks on the x axis might show 1000 2000 3000 or 1 2 3 x1e3. I want to control it, set it to 1 and obtain the first example, and set to 1000 and obtain the second one.
I not 100% clear what you want to achieve, however look into your matplotlib distribution for ticker.py
There is Formatter classes that control such things.
For example the existing ScalarFormatter, has a method set_scientific() to enable /disable scientific formatting. My reading of your description suggests this is what you are after or you might get some joy out of set_powerlimits() or the argument useOffset.
If your requirements are different you may need to create your own formatter class.
So, I want to plot a line, but controlling the labels on the tickers of the x axis. For instance, if I'm plotting (1000, 5), (2000, 10), (3000, 10), the ticks on the x axis might show 1000 2000 3000 or 1 2 3 x1e3. I want to control it, set it to 1 and obtain the first example, and set to 1000 and obtain the second one.
I not 100% clear what you want to achieve, however look into your matplotlib distribution for ticker.py
There is Formatter classes that control such things.
For example the existing ScalarFormatter, has a method set_scientific() to enable /disable scientific formatting. My reading of your description suggests this is what you are after or you might get some joy out of set_powerlimits() or the argument useOffset.
If your requirements are different you may need to create your own formatter class.
The only thing I can add at this point is that there is also an Axes.ticklabel_format() method that calls set_scientific, and doesn't require you to dig around to figure out how to access the formatter.
Eric
···
Steve
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