我怎样才能抵消 x-axis 滴答声，使彼此略微 lower/higher？

Question

我图上的次要 x-axis 标签非常密集。我不想让它们变小，而是想将每一个都稍微向下移动，以便它们适合轴。类似 . I tried label padding 但没有成功。

代码：

fig, ax1 = plt.subplots(figsize=(18, 6))

ax1.plot(data['date_time'], data.Casual, color='g')
ax1.plot(data['date_time'], data.Registered, color='b')

ax1.set(xlabel='', ylabel='Total # of trips started')
ax1.yaxis.label.set_size(13)
ax1.xaxis.set(
    major_locator=mdates.DayLocator(),
    major_formatter=mdates.DateFormatter('\n\n%A'),
    minor_locator=mdates.HourLocator(byhour=range(0,24,1)),
    minor_formatter=mdates.DateFormatter('%-H'),
)
ax1.tick_params(axis='x', which='minor', bottom=True)
ax1.set_xbound(data['date_time'][0],data['date_time'][166])
ax1.yaxis.set_ticks(np.arange(0, 550, 50))
ax1.set_ybound(0,550)
ax1.yaxis.grid(True, which='major')
ax1.xaxis.grid(True, which='major', color='green')

#borders
ax1.spines['left'].set_color('0.0')
ax1.spines['right'].set_color('0.0')
ax1.spines['bottom'].set_color('0.0')

# Create offset transform by 74 points in x direction
dx = 74/72.; dy = 0/72. 
offset = mpl.transforms.ScaledTranslation(dx, dy, fig.dpi_scale_trans)

# apply offset transform to all x ticklabels.
for label in ax1.xaxis.get_majorticklabels():
    label.set_transform(label.get_transform() + offset)

### Trying to move them up and down here ###
labels_formatted = [label if i%2==0 else label+'\n' for i, label in enumerate(ax1.xaxis.get_majorticklabels())]
ax1.set_xticklabels(labels_formatted)


plt.show()

Answer 1

我认为你犯了一个根本错误。您应该在字符串之前附加换行符 ，因为只有这样您才能在下方一行看到标签文本。否则，您只是将光标发送到下一行而不打印任何内容。

此外，您需要label.get_text()来获取tick-labels的字符串。我在下面展示了一个示例答案。将相同的逻辑应用到您的示例中。我不能那样做，因为你没有提供 MCVE

import matplotlib.pyplot as plt import numpy as np fig, ax = plt.subplots() x = np.linspace(0, 10, 20) plt.plot(x, x**2) fig.canvas.draw() labels_formatted = [label.get_text() if i%2==0 else '\n'+label.get_text() for i, label in enumerate(ax.xaxis.get_majorticklabels())] ax.set_xticklabels(labels_formatted) plt.show()

我怎样才能抵消 x-axis 滴答声，使彼此略微 lower/higher？

How can I offset the x-axis ticks so every other is slightly lower/higher?

python

plot

matplotlib

figure