Python matplotlib 使日期的轴刻度标签加粗
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matplotlib make axis ticks label for dates bold
提问by red_tiger
I want to have bold labels on my axis, so I can use the plot for publication. I also need to have the label of the lines in the legend plotted in bold. So far I can set the axis labels and the legend to the size and weight I want. I can also set the size of the axis labels to the size I want, however I am failing with the weight.
我想在我的轴上使用粗体标签，以便我可以使用该图进行发布。我还需要将图例中线条的标签以粗体绘制。到目前为止，我可以将轴标签和图例设置为我想要的大小和重量。我还可以将轴标签的大小设置为我想要的大小，但是我的重量失败了。
Here is an example code:
这是一个示例代码：
# plotting libs
from pylab import *
from matplotlib import rc
if __name__=='__main__':
tmpData = np.random.random( 100 )
# activate latex text rendering
rc('text', usetex=True)
rc('axes', linewidth=2)
rc('font', weight='bold')
#create figure
f = figure(figsize=(10,10))
ax = gca()
plot(np.arange(100), tmpData, label=r'\textbf{Line 1}', linewidth=2)
ylabel(r'\textbf{Y-AXIS}', fontsize=20)
xlabel(r'\textbf{X-AXIS}', fontsize=20)
fontsize = 20
fontweight = 'bold'
fontproperties = {'family':'sans-serif','sans-serif':['Helvetica'],'weight' : fontweight, 'size' : fontsize}
ax.set_xticklabels(ax.get_xticks(), fontproperties)
ax.set_yticklabels(ax.get_yticks(), fontproperties)
for tick in ax.xaxis.get_major_ticks():
tick.label1.set_fontsize(fontsize)
for tick in ax.yaxis.get_major_ticks():
tick.label1.set_fontsize(fontsize)
legend()
show()
sys.exit()
And this is what I get:
这就是我得到的：
Any idea what I am missing or doing wrong in order to get the axis ticks label in bold?
知道我遗漏了什么或做错了什么以便以粗体显示轴刻度标签吗？
EDIT
编辑
I have updated my code using toms response. However I now have another problem, as I need to use datetimeon the x-axis, this has not the same effect as on the normal y-axis (sorry for not putting this in in the original question, but I did not think it would change things):
我已经使用 toms 响应更新了我的代码。但是我现在有另一个问题，因为我需要datetime在 x 轴上使用，这与正常 y 轴上的效果不同（抱歉没有把它放在原始问题中，但我认为它不会改变事物）：
# plotting libs
from pylab import *
from matplotlib import rc, rcParams
import matplotlib.dates as dates
# datetime
import datetime
if __name__=='__main__':
tmpData = np.random.random( 100 )
base = datetime.datetime(2000, 1, 1)
arr = np.array([base + datetime.timedelta(days=i) for i in xrange(100)])
# activate latex text rendering
rc('text', usetex=True)
rc('axes', linewidth=2)
rc('font', weight='bold')
rcParams['text.latex.preamble'] = [r'\usepackage{sfmath} \boldmath']
#create figure
f = figure(figsize=(10,10))
ax = gca()
plot(np.arange(100), tmpData, label=r'\textbf{Line 1}', linewidth=2)
ylabel(r'\textbf{Y-AXIS}', fontsize=20)
xlabel(r'\textbf{X-AXIS}', fontsize=20)
ax.xaxis.set_tick_params(labelsize=20)
ax.yaxis.set_tick_params(labelsize=20)
ax.xaxis.set_major_formatter(dates.DateFormatter('%m/%Y'))
ax.xaxis.set_major_locator(dates.MonthLocator(interval=1))
legend()
Now my result looks like this:
现在我的结果是这样的：
It seems to be that the changes doe not affect the display or rather the weight of the x-axis ticks labels.
似乎这些变化不会影响显示或 x 轴刻度标签的权重。
采纳答案by tmdavison
I think the problem is because the ticks are made in LaTeX math-mode, so the font properties don't apply.
我认为问题是因为刻度是在 LaTeX 数学模式下制作的，所以字体属性不适用。
You can get around this by adding the correct commands to the LaTeX preamble, using rcParams. Specifcally, you need to use \boldmath to get the correct wieght, and \usepackage{sfmath} to get sans-serif font.
您可以通过使用rcParams. 具体来说，您需要使用 \boldmath 来获得正确的 wiegt，并使用 \usepackage{sfmath} 来获得 sans-serif 字体。
Also, you can use set_tick_paramsto set the font size of the tick labels.
此外，您可以使用set_tick_params来设置刻度标签的字体大小。
Here's some code that does what you want:
这是一些可以执行您想要的操作的代码：
import numpy as np
from matplotlib import rc,rcParams
from pylab import *
tmpData = np.random.random( 100 )
# activate latex text rendering
rc('text', usetex=True)
rc('axes', linewidth=2)
rc('font', weight='bold')
rcParams['text.latex.preamble'] = [r'\usepackage{sfmath} \boldmath']
#create figure
f = figure(figsize=(10,10))
ax = gca()
plot(np.arange(100), tmpData, label=r'\textbf{Line 1}', linewidth=2)
ylabel(r'\textbf{Y-AXIS}', fontsize=20)
xlabel(r'\textbf{X-AXIS}', fontsize=20)
ax.xaxis.set_tick_params(labelsize=20)
ax.yaxis.set_tick_params(labelsize=20)
legend()
