Question

我正在基于底层数据动态创建多个子图。 x轴是日期时间，每个子图的小时数不同。当我设置最终轴主要定位器时，它会影响所有轴的所有定位器。例如，如果最终子图时间范围是00:00到06:00，第一个子图范围是00:00到13:00，则maplotlib只在第一个子图上放置标签，范围从00:00到06:00。 / p>

如果我让它自动定位，它会放置足够数量的标签，但时间间隔会有所不同。它可能会在06:28打勾，当时我希望滴答在一小时内落下。

以下是代码段：

fig = plt.figure(figsize=(fw, fh))
plt.suptitle(title, horizontalalignment = 'left', x= 0.12, y=0.955, fontsize = 14, name = 'Arial')

f = '#4C709D'
m = 'o'
a = 0.5
ms = 6
yfnt = 10

if len(x1)>0:
    position+=1
    ax1 = plt.subplot2grid((axis,1), (position, 0))
    ax1.get_xaxis().get_major_formatter().set_useOffset(False)
    a=ax1.scatter(x1, y1, s = ms, color = f, marker = m, alpha=0.5)
    r=ax1.scatter(x1, z1, s = 2, color='black', marker= m, alpha=0.5, label='15min Rolling Avg')

    ax1.set_xlim(min(x1), max(x1))
    ax1.set_ylim(-0.01, max(y1)+1)

    ax1.set_ylabel('[VOC] (ppm)', fontsize = yfnt)

    for label in ax1.get_yticklabels():
        label.set_fontsize(9)

    for label in ax1.get_xticklabels():
        label.set_fontsize(9)

    ax1.xaxis.set_major_locator(hours)
    ax1.set_xticklabels(ax1.xaxis.get_majorticklabels(), rotation=45)
    ax1.xaxis.set_major_formatter(hoursFmt)
    ax1.grid(b=True, axis='both', which ='major', color='black', linestyle='-', linewidth=1, alpha = 0.10)


if len(x2) > 0:
    position+=1
    ax2 = plt.subplot2grid((axis, 1), (position, 0))
    ax2.get_xaxis().get_major_formatter().set_useOffset(False)
    a=ax2.scatter(x2, y2, s = ms, color = f, marker = m, alpha=0.5)
    r=ax2.scatter(x2, z2, s = 2, color='black', marker= m, alpha=0.5, label='15min Rolling Avg')

    ax2.set_ylim(-0.01, max(y2)+1)
    ax2.set_xlim(min(x2), max(x2))
    ax2.set_ylabel('% LEL', fontsize = yfnt)

    for label in ax2.get_yticklabels():
        label.set_fontsize(9)

    for label in ax2.get_xticklabels():
        label.set_fontsize(9)

    ax2.xaxis.set_major_locator(hours)
    ax2.set_xticklabels(ax2.xaxis.get_majorticklabels(), rotation=45)
    ax2.xaxis.set_major_formatter(hoursFmt)
    ax2.grid(b=True, axis='both', which ='major', color='black', linestyle='-', linewidth=1, alpha = 0.10)


if len(x3) > 0:
    position+=1
    ax3 = plt.subplot2grid((axis, 1), (position, 0))
    ax3.get_xaxis().get_major_formatter().set_useOffset(False)
    a=ax3.scatter(x3, y3, s = ms, color = f, marker = m, alpha=0.5)
    r=ax3.scatter(x3, z3, s = 2, color='black', marker= m, alpha=0.5, label = '15min Rolling Avg')

    ax3.set_ylim(-0.01, max(y3)+5)
    ax3.set_xlim(min(x3), max(x3))
    ax3.set_ylabel('[Carbon Dioxide] (ppm)', fontsize = yfnt)

    for label in ax3.get_yticklabels():
        label.set_fontsize(9)

    for label in ax3.get_xticklabels():
        label.set_fontsize(9)

    ax3.xaxis.set_major_locator(hours)
    ax3.set_xticklabels(ax3.xaxis.get_majorticklabels(), rotation=45)
    ax3.xaxis.set_major_formatter(hoursFmt)
    ax3.grid(b=True, axis='both', which ='major', color='black', linestyle='-', linewidth=1, alpha = 0.10)


if len(x4) > 0:
    position+=1
    ax4 = plt.subplot2grid((axis, 1), (position, 0))
    ax4.get_xaxis().get_major_formatter().set_useOffset(False)
    a=ax4.scatter(x4, y4, s = ms, color = f, marker = m, alpha= 0.5)
    r=ax4.scatter(x4, z4, s = 2, color='black', marker= m, alpha=0.5, label='15min Rolling Avg')

    ax4.set_ylim(-0.01, max(y4)+1)
    ax4.set_xlim(min(x4), max(x4))
    ax4.set_ylabel('[Oxygen] (%)', fontsize = yfnt)

    for label in ax4.get_yticklabels():
        label.set_fontsize(9)

    for label in ax4.get_xticklabels():
        label.set_fontsize(9)

    ax4.xaxis.set_major_locator(hours)
    ax4.set_xticklabels(ax4.xaxis.get_majorticklabels(), rotation=45)
    ax4.xaxis.set_major_formatter(hoursFmt)
    ax4.grid(b=True, axis='both', which ='major', color='black', linestyle='-', linewidth=1, alpha = 0.10)

if len(x5) > 0:
    position+=1
    ax5 = plt.subplot2grid((axis, 1), (position, 0))
    ax5.get_xaxis().get_major_formatter().set_useOffset(False)

    a = ax5.scatter(x5, y5, color=f, s=ms, marker=m, alpha=0.5)
    r = ax5.scatter(x5, z5, s = 2, color='black', marker= m, alpha=0.5, label='15min Rolling Avg')

    ax5.set_ylim(-0.01, max(y5)+1)
    ax5.set_xlim(min(x5), max(x5))
    ax5.set_ylabel('[Methane] (ppm)', fontsize = yfnt)

    for label in ax5.get_yticklabels():
        label.set_fontsize(9)

    for label in ax5.get_xticklabels():
        label.set_fontsize(9)

    ax5.xaxis.set_major_locator(hours)
    ax5.set_xticklabels(ax5.xaxis.get_majorticklabels(), rotation=45)
    ax5.xaxis.set_major_formatter(hoursFmt)
    ax5.grid(b=True, axis='both', which ='major', color='black', linestyle='-', linewidth=1, alpha = 0.10)

Matplotlib：Subplot Axis Ticks和MajorLocator

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