Python 如何并排绘制图形以进行比较？

我做了两个条形图，就像

dirmedtop.plot.barh()

现在我试着去做

fig, (ax1, ax2) = plt.subplots(1, 2)
fig.suptitle('Horizontally stacked subplots')
ax1 = dirmedtop.plot.barh
ax2 = dirmeantop.plot.barh

但结果显示类型错误“Axessubplot”不可调用，这是错误的

我希望这些条形图并排排列，以便进行比较。谁能帮我做这个

最终，我希望图表看起来像这样

我所说的dirmedtop和dirmeantop就是这个。dirmedtop是前10名每位董事毛额中位数最高的董事。dirmeantop是imdb平均得分最高的前10名董事

dirmean= df.loc[df['director_name'].isin(director2.index)].groupby('director_name')['imdb_score'].mean()
dirmean 
dirmeansort= dirmean.sort_values(ascending=False)
dirmeansort
dirmeantop=dirmeansort.head(10)
dirmeantop

director_name
Christopher Nolan    8.425000
Quentin Tarantino    8.200000
Stanley Kubrick      8.000000
James Cameron        7.914286
David Fincher        7.750000
Peter Jackson        7.675000
Martin Scorsese      7.660000
Wes Anderson         7.628571
Paul Greengrass      7.585714
Sam Mendes           7.500000
Name: imdb_score, dtype: float64

dirmed= df.loc[df['director_name'].isin(director2.index)].groupby('director_name')['gross'].median()
dirmed
dirmedsort= dirmed.sort_values(ascending=False)
dirmedsort
dirmedtop= dirmedsort.head(10)
dirmedtop

director_name
Jon Favreau          312057433.0
Peter Jackson        236579815.0
Christopher Nolan    196667606.5
Bryan Singer         156142402.0
James Cameron        146282411.0
Sam Raimi            138480208.0
Michael Bay          138396624.0
Steven Spielberg     132014112.0
Tom Shadyac          128769345.0
Jay Roach            126561111.0
Name: gross, dtype: float64

---

将参数

ax

添加到，并对两者进行排序，因为使用了添加间距：

dirmean= df.loc[df['director_name'].isin(director2.index)].groupby('director_name')['imdb_score'].mean()
dirmean 
dirmeansort= dirmean.sort_values(ascending=False)
dirmeansort
dirmeantop=dirmeansort.head(10)
dirmeantop

director_name
Christopher Nolan    8.425000
Quentin Tarantino    8.200000
Stanley Kubrick      8.000000
James Cameron        7.914286
David Fincher        7.750000
Peter Jackson        7.675000
Martin Scorsese      7.660000
Wes Anderson         7.628571
Paul Greengrass      7.585714
Sam Mendes           7.500000
Name: imdb_score, dtype: float64

dirmed= df.loc[df['director_name'].isin(director2.index)].groupby('director_name')['gross'].median()
dirmed
dirmedsort= dirmed.sort_values(ascending=False)
dirmedsort
dirmedtop= dirmedsort.head(10)
dirmedtop

director_name
Jon Favreau          312057433.0
Peter Jackson        236579815.0
Christopher Nolan    196667606.5
Bryan Singer         156142402.0
James Cameron        146282411.0
Sam Raimi            138480208.0
Michael Bay          138396624.0
Steven Spielberg     132014112.0
Tom Shadyac          128769345.0
Jay Roach            126561111.0
Name: gross, dtype: float64

fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(10,5))
plt.subplots_adjust(wspace = 0.7)
fig.suptitle('Top 10 movie directors')
dirmeantop.rename_axis(None).sort_values().plot.barh(ax=ax1, title='By IMDB rank')
dirmedtop.rename_axis(None).sort_values().plot.barh(ax=ax2, title='By Gross')
ax1.set_ylabel('Director')
ax1.set_xlabel('IMDB Score')
ax2.set_xlabel('Gross')