I don't understand what you did, i'm reading error data from a file.
def gera_grafico(N=200, eps=1):
x = np.abs(np.random.randn(N))
y = 10*np.log((30*x + 1.)**(0.5)) + 34 + eps * np.random.randn(N)
yerr = eps * np.random.randn(N)
I don't understand what you did in this code
??
Thanks,
Waleria.
On Thu, Oct 7, 2010 at 5:06 PM, Tony S Yu <tsy...@gmail.com> wrote:
>
> On Oct 7, 2010, at 3:38 PM, Waléria Antunes David wrote:
>
> Hi,
>
> I did like the links below, but seeing as it was my chart.
>
> See
>
> My code: http://pastebin.com/KcjHAPLN
>
> On Thu, Oct 7, 2010 at 3:08 PM, John Hunter <jdh2...@gmail.com> wrote:
>
>> On Thu, Oct 7, 2010 at 1:01 PM, Waléria Antunes David
>> <waleriantu...@gmail.com> wrote:
>> > I need to know how do these vertical lines on the graph. See the
>> picture,
>> > the lines circled.
>>
>> We call these major and minor ticks. The major ticks are the taller
>> ones, the minor ticks are the smaller ones. Their location is
>> controlled by the major and minor Locator instances, and the text
>> printed beside them is controlled by the major and minor formatter.
>>
>> See
>>
>>
>> http://matplotlib.sourceforge.net/examples/pylab_examples/major_minor_demo1.html
>>
>> http://matplotlib.sourceforge.net/examples/pylab_examples/major_minor_demo2.html
>>
>> and
>>
>> http://matplotlib.sourceforge.net/search.html?q=codex+set_minor_locator
>>
>> To control the tick properties themselves, see the Tick section in
>>
>> http://matplotlib.sourceforge.net/users/artists.html
>>
>> JDH
>>
>
> <graph.png>
>
>
> As John mentioned, the major and minor ticks were the taller and shorter
> ticks, respectively. In your pasted example, you only change the minor
> ticks; by setting the majorLocator to same value as in the original example
> (i.e. 20), you only get the major tick at 0 because your data only goes to
> 1.5 (i.e. 20 is outside your plot range).
>
> Also, the majorFormatter in the example is set to work with integers, but
> your major tick labels should be float values (since most of them are
> between 0 and 1). Thus, the majorFormatter code is unnecessary (commented
> out below).
>
> Finally, a pet peeve: when posting example code, please make the effort to
> generate data for the plot so that others can easily run the code (see
> attached).
>
> -Tony
>
> #---
>
> import numpy as np
> import matplotlib.pyplot as plt
> from matplotlib.ticker import MultipleLocator, FormatStrFormatter
>
> def gera_grafico(N=200, eps=1):
>
> x = np.abs(np.random.randn(N))
> y = 10*np.log((30*x + 1.)**(0.5)) + 34 + eps * np.random.randn(N)
> yerr = eps * np.random.randn(N)
>
> majorLocator = MultipleLocator(0.2)
> # majorFormatter = FormatStrFormatter('%d')
> minorLocator = MultipleLocator(0.02)
>
> fig, ax = plt.subplots()
> plt.errorbar(x, y, yerr, fmt='ob', label='date')
>
> plt.xlim(0.0, 1.5)
> #plt.xscale('log')
> #grid(True)
>
> ax.xaxis.set_major_locator(majorLocator)
> # ax.xaxis.set_major_formatter(majorFormatter)
>
> ax.xaxis.set_minor_locator(minorLocator)
>
> return fig
>
> if __name__ == '__main__':
> gera_grafico()
> plt.show()
>
>
>
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