How do I set up my matplotlib.pyplot code so that the data for the x-axis is plotted beginning at 1 not the default 0. To illustrate:
I have a set of time trials and error probability calculations. Trials are x and scores are y. At present, the first trial is plotted on the graph at 0 which is illogical. I admit that I'm not sure exactly what I am looking for, but I can't see this mentioned in the docs. I just want the plot to begin at trial 1, not the 0; however, I don't mind if the x-axis has a 0 scale on it, but trials don't begin at a 0 trial, so how do I get around this.
x = np.arange(len(scores)) + 1
plt.plot(x, scores)
HTH,
Angus.
···
On 24 February 2010 13:36, AG <computing.account@...982...> wrote:
Hi
How do I set up my matplotlib.pyplot code so that the data for the
x-axis is plotted beginning at 1 not the default 0. To illustrate:
I have a set of time trials and error probability calculations. Trials
are x and scores are y. At present, the first trial is plotted on the
graph at 0 which is illogical. I admit that I'm not sure exactly what I
am looking for, but I can't see this mentioned in the docs. I just want
the plot to begin at trial 1, not the 0; however, I don't mind if the
x-axis has a 0 scale on it, but trials don't begin at a 0 trial, so how
do I get around this.
Hi
How do I set up my matplotlib.pyplot code so that the data for the
x-axis is plotted beginning at 1 not the default 0. To illustrate:
I have a set of time trials and error probability calculations. Trials
are x and scores are y. At present, the first trial is plotted on the
graph at 0 which is illogical. I admit that I'm not sure exactly what I
am looking for, but I can't see this mentioned in the docs. I just want
the plot to begin at trial 1, not the 0; however, I don't mind if the
x-axis has a 0 scale on it, but trials don't begin at a 0 trial, so how
do I get around this.
I've listed the basic code below:
plt.plot( scores )
plt.ylabel( "Scores" )
plt.xlabel( "Trials" )
plt.show()
You can explicitly specify x-axis values:
x = np.arange(len(scores)) + 1
plt.plot(x, scores)
HTH,
Angus.
Hi Angus
Thanks for the quick reply. Once I imported numpy as np and re-ran the
program that did the trick perfectly.