我正在尝试保存图像，但 xlabels 未出现在保存的图像中。我试图修改尺寸图，它可以工作，但图像变大了。我想保持大小并以某种方式显示完整的绘图信息。
数据如下。
data = {'neighbourhood': ['Allston-Brighton', 'Jamaica Plain', 'South End', 'Back Bay', 'Fenway/Kenmore', 'South Boston', 'Dorchester', 'Beacon Hill', 'North End', 'East Boston', 'Roxbury', 'Mission Hill', 'Charlestown', 'Chinatown', 'West End', 'Roslindale', 'West Roxbury', 'Theater District', 'Downtown Crossing', 'Hyde Park', 'Mattapan', 'Financial District', 'Somerville', 'Leather District', 'Downtown', 'Brookline', 'Cambridge', 'Chestnut Hill', 'Government Center', 'Harvard Square'], 'latitude': [42.35136861184197, 42.311768379852126, 42.342302581102956, 42.349542747362186, 42.34487223416756, 42.33920029843584, 42.30534371604848, 42.35916242461033, 42.36509251919781, 42.374797033371614, 42.32734681549604, 42.331789902337285, 42.378479634468505, 42.35070490587777, 42.36437167301179, 42.2844848817822, 42.28049169547555, 42.35179317067222, 42.355582834130146, 42.25870128503825, 42.286757258759295, 42.35833367767067, 42.38454210544948, 42.35075084496441, 42.358667722753495, 42.34150237882493, 42.36332342051593, 42.30072382305316, 42.3615193534256, 42.373740039980646], 'longitude': [-71.13980032939199, -71.11023629181607, -71.07406928489343, -71.08014985459491, -71.09639276028551, -71.04673010039227, -71.05980648703859, -71.06722209902804, -71.05435502753697, -71.03063773314375, -71.08533342932748, -71.10338968538669, -71.063939091515, -71.06158442474035, -71.06532504101003, -71.13144270905727, -71.15526404132471, -71.06424189076172, -71.0605365814764, -71.11810073342608, -71.0849389578363, -71.0536411757789, -71.08132624190405, -71.05746407735042, -71.05685306951624, -71.12512826846925, -71.10800606379425, -71.1623118265295, -71.06098895883044, -71.12200210465183], 'dist': [5.217274918890407, 5.117420577499391, 0.9157635862891802, 0.3306405006707467, 1.7610810938591674, 2.726903121754893, 5.1844408677649945, 1.227497247961104, 2.4324110127231613, 4.627284517560583, 2.6651506889743173, 3.0369798718044314, 3.283137336413658, 1.2079270532681, 1.7966687812416413, 8.611569508167042, 10.120811029410335, 1.0015368567582976, 1.4167815087370315, 10.751692511599911, 7.105621710489037, 2.059024017017853, 3.818876664289385, 1.546321543507951, 1.842593010462582, 4.130981378134085, 2.975557190604119, 8.966614609646907, 1.7636863017118727, 4.5639916116404695], 'price': [52.70595169067383, 78.32887268066406, 116.85491943359375, 154.3334503173828, 81.05461883544922, 112.77129364013672, 65.13931274414062, 122.6712646484375, 110.73733520507812, 87.53361511230469, 100.67787170410156, 44.86083984375, 109.29198455810547, 97.78974151611328, 172.12989807128906, 68.67533111572266, 70.07238006591797, 103.89393615722656, 92.42691802978516, 32.06399917602539, 59.09000015258789, 51.484615325927734, 56.128204345703125, 170.1875, 64.60416412353516, 21.53333282470703, 134.6619110107422, 58.25, 262.4222106933594, 0.0], 'count': [364, 314, 298, 291, 249, 216, 195, 174, 125, 117, 116, 103, 79, 78, 68, 50, 35, 33, 26, 25, 20, 13, 13, 8, 8, 8, 7, 4, 3, 2]}
df = pd.DataFrame(data)
dfc_dist_sort = df.sort_values(by=['count'],ascending=False)
我正在使用这段代码。我能做些什么来保存图像而不会中断。如有必要，我可以分享我的图像，请告诉我。
x = dfc_dist_sort['neighbourhood']
y = dfc_dist_sort['price']
z = dfc_dist_sort['count']
w = dfc_dist_sort['dist']
fig, axs = plt.subplots(3, 1, sharex=True,figsize=(8, 8))
fig.subplots_adjust(hspace=0)
axs[0].set_title('Comparing price, count and distance mean between neighbourhood')
axs[0].bar(x, y)
axs[0].set_ylabel('Price')
axs[1].bar(x, z)
axs[1].set_ylabel('Count')
axs[2].bar(x, w)
axs[2].set_ylabel('Distance (km)')
_ = plt.xticks(rotation=90)
plt.savefig('comp.png', dpi = 300)
谢谢你。