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So I am trying to get minor tick grid lines to get displayed but they don't seem to appear on the plot. An example code is
data_temp = pd.read_csv(dir_readfile, dtype=float, delimiter='\t',
names = names, usecols=[0,1,2,3,4])
result = data_temp.groupby(['A', 'D']).agg({'B':'mean', 'E':'mean'})
result2 = result.unstack()
x = np.arange(450, 700, 50, dtype = int)
plt.grid(True, which='both')
plt.minorticks_on()
result2.B.plot(lw=2,colormap='jet',marker='.',markersize=4,
title='A v/s B', legend = True, grid = 'on' ,
xlim = [450, 700], ylim = [-70, -0], xticks = x)
What I get is
The major grid lines are displayed but the minor ones are not. I looked into the pandas documentation but just see the grid option. I was hoping to get the minor ticks grid lines to be a every 10th location on the X axis that is 460 470 etc and every location on the Y (actual scale of Y is a bit smaller)
677
To show the minor ticks, use grid(which='minor'). To display the figure, use show() method.
Minor tick labels can be turned on by setting the minor formatter. MultipleLocator places ticks on multiples of some base. StrMethodFormatter uses a format string (e.g., '{x:d}' or '{x:1.2f}' or '{x:1.1f} cm' ) to format the tick labels (the variable in the format string must be 'x' ).
Matplotlib removes both labels and ticks by using xticks([]) and yticks([]) By using the method xticks() and yticks() you can disable the ticks and tick labels from both the x-axis and y-axis.
Ticks are always the same color and line style as the axis. Ticks come in two types: major and minor. Major ticks separate the axis into major units. On category axes, major ticks are the only ticks available (you cannot show minor ticks on a category axis).
Before plt.show() add plt.minorticks_on().
If you want to add minor ticks for selected axis then use:
ax = plt.gca()
ax.tick_params(axis='x',which='minor',bottom='off')
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