1樓：旅行者
這是你想要的效果麼？下圖裡我把橫軸5-20縮到乙個比較小的範圍裡，0-4和20-24詳細展開畫
import
matplotlib.pyplot
asplt
import
numpy
asnp
# 30 points between [0, 0.2) originally made using np.random.rand(30)*.2
pts=np.
array
([0.015
,0.166
,0.133
,0.159
,0.041
,0.024
,0.195
,0.039
,0.161
,0.018
,0.143
,0.056
,0.125
,0.096
,0.094
,0.051
,0.043
,0.021
,0.138
,0.075
,0.109
,0.195
,0.050
,0.074
,0.079
,0.155
,0.020
,0.010
,0.061
,0.008
])# Now let's make two outlier points which are far away from everything.
pts[[3,
14]]+=.
8# If we were to simply plot pts, we'd lose most of the interesting
# details due to the outliers. So let's 'break' or 'cut-out' the y-axis
# into two portions - use the top (ax) for the outliers, and the bottom
# (ax2) for the details of the majority of our dataf,
(ax,ax2
,ax3)=
plt.
subplots(1
,3,sharey
=True
)# plot the same data on both axesax.
plot
(pts
)ax2
.plot
(pts
)ax3
.plot
(pts
)# zoom-in / limit the view to different portions of the dataax.
set_xlim(0
,5)# outliers only
ax2.
set_xlim(5
,20)# most of the data
ax3.
set_xlim(20
,25)# most of the data
# hide the spines between ax and ax2ax.
spines
['right'].
set_visible
(False
)ax2
.spines
['left'].
set_visible
(False
)ax2
.spines
['right'].
set_visible
(False
)ax3
.spines
['left'].
set_visible
(False)ax
.yaxis
.tick_left
()ax2
.tick_params
(axis
="y"
,left
=False
,right
=False
)# don't put tick labels at the top
ax3.
yaxis
.tick_right
()plt
.show
()plt
.close
()我參考的是這個例子裡的畫法
Broken Axis - Matplotlib 3.1.0 documentation
2樓：cjavapy
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