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1 | 1 | """ |
2 | | -=================== |
3 | | -Centered Ticklabels |
4 | | -=================== |
| 2 | +============================== |
| 3 | +Centering labels between ticks |
| 4 | +============================== |
5 | 5 |
|
6 | | -sometimes it is nice to have ticklabels centered. Matplotlib currently |
7 | | -associates a label with a tick, and the label can be aligned |
8 | | -'center', 'left', or 'right' using the horizontal alignment property:: |
| 6 | +Ticklabels are aligned relative to their associated tick. The alignment |
| 7 | +'center', 'left', or 'right' can be controlled using the horizontal alignment |
| 8 | +property:: |
9 | 9 |
|
10 | 10 | for label in ax.xaxis.get_xticklabels(): |
11 | 11 | label.set_horizontalalignment('right') |
12 | 12 |
|
13 | | -but this doesn't help center the label between ticks. One solution |
14 | | -is to "fake it". Use the minor ticks to place a tick centered |
15 | | -between the major ticks. Here is an example that labels the months, |
16 | | -centered between the ticks |
| 13 | +However there is no direct way to center the labels between ticks. To fake |
| 14 | +this behavior, one can place a label on the minor ticks in between the major |
| 15 | +ticks, and hide the major tick labels and minor ticks. |
| 16 | +
|
| 17 | +Here is an example that labels the months, centered between the ticks. |
17 | 18 | """ |
18 | 19 |
|
19 | 20 | import numpy as np |
|
34 | 35 | ax.plot(date, r.adj_close) |
35 | 36 |
|
36 | 37 | ax.xaxis.set_major_locator(dates.MonthLocator()) |
37 | | -ax.xaxis.set_minor_locator(dates.MonthLocator(bymonthday=15)) |
| 38 | +# 16 is a slight approximation since months differ in number of days. |
| 39 | +ax.xaxis.set_minor_locator(dates.MonthLocator(bymonthday=16)) |
38 | 40 |
|
39 | 41 | ax.xaxis.set_major_formatter(ticker.NullFormatter()) |
40 | 42 | ax.xaxis.set_minor_formatter(dates.DateFormatter('%b')) |
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