labels

Excuse me for the maybe very stupid question, but my curiosity is killing me, and plus I'm new to this, but are using labels important in your markup, and why? i.e. <label for="birthdate">Birthdate:</label> <input type="text" id="birthdate" name="birthdate" /> Why must I label this input, why is it beneficial to the user, why is going to be beneficial for future use, or is it search engine optimization thing. That's what I really wanna know :) GSto It's important for a number of reasons: Clicking the label focuses on the text field, which is something a lot of users expect. It's helpful for

Is there a simple way to put the y-axis label on the right-hand side of the plot? I know that this can be done for the tick labels using ax.yaxis.tick_right() , but I would like to know if it can be done for the axis label as well. One idea which came to mind was to use ax.yaxis.tick_right() ax2 = ax.twinx() ax2.set_ylabel('foo') However, this doesn't have the desired effect of placing all labels (tick and axis labels) on the right-hand side, while preserving the extent of the y-axis. In short, I would like a way to move all the y-axis labels from the left to the right. Gerrat It looks like

I would like to have minor ticks on a axis but show only major tick labels. For instance, minor ticks are [19, 20, 21, ... 40, 41] and major tick labels are [20, 25, 30, 35, 40]. How can I do it? the code below didn't do the job. I know one could use MultipleLocator, FormatStrFormatter like this example . However, my values on the axis are a bit "strange" with the starting value is 19 (not 20) and end value is 41, which cause difficulty when using MultipleLocator. import numpy as np from matplotlib import pylab as plt fig = plt.figure() ax = fig.add_subplot(111) x = np.linspace(19.,41,23) y =