问题描述
Player_id Draft_Year Rnd Pick Tm ... Vert Leap (in) broad Jump (in) Shuttle 3Cone 60Yd Shuttle
0 2015Jameis Winston 2015 1 1 TAM ... 28.5 103.0 4.36 7.16 NaN
1 2015marcus Mariota 2015 1 2 TEN ... 36.0 121.0 4.11 6.87 NaN
2 2015dante Fowler 2015 1 3 JAX ... 32.5 112.0 4.32 7.40 11.89
3 2015Amari Cooper 2015 1 4 OAK ... 33.0 120.0 3.98 6.71 NaN
4 2015Brandon Scherff 2015 1 5 WAS ... NaN NaN NaN NaN NaN
我正在尝试创建一个堆叠的条形图，该条形图将显示40次分布，并按位置进行颜色编码。最终结果将如下所示： Distributuion Bar Plot
我尝试将堆叠的条形图与matplotlib结合使用，但始终收到错误消息。这是我的代码：
x = df['40 Yard']
y1 = df['Position Standard'][0]
y2 = df['Position Standard'][1]
y3 = df['Position Standard'][2]
plt.figure(figsize=(4,3))
# stack bars
plt.bar(x,y1,label='y1')
plt.bar(x,y2,bottom=y1,label='y2')
plt.bar(x,y3,bottom=y1+y2,label='y3')
# memo of sample number
snum = y1+y2+y3
# normalization
y1 = y1/snum*100.
y2 = y2/snum*100.
y3 = y3/snum*100.
# add text annotation corresponding to the percentage of each data.
for xpos,ypos,yval in zip(x,y1/2,y1):
plt.text(xpos,"%.1f"%yval,ha="center",va="center")
for xpos,y1+y2/2,y2):
plt.text(xpos,y1+y2+y3/2,y3):
plt.text(xpos,va="center")
# add text annotation corresponding to the "total" value of each bar
for xpos,y1+y2+y3,snum):
plt.text(xpos,"N=%d"%yval,va="bottom")
plt.ylim(0,110)
plt.legend(bBox_to_anchor=(1.01,0.5),loc='center left')
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
<ipython-input-250-521232e1cbd6> in <module>
7 # stack bars
8 plt.bar(x,label='y1')
----> 9 plt.bar(x,label='y2')
10 plt.bar(x,label='y3')
11
~\AppData\Roaming\Python\python37\site-packages\matplotlib\pyplot.py in bar(x,height,width,bottom,align,data,**kwargs)
2407 return gca().bar(
2408 x,width=width,bottom=bottom,align=align,-> 2409 **({"data": data} if data is not None else {}),**kwargs)
2410
2411
~\AppData\Roaming\Python\python37\site-packages\matplotlib\__init__.py in inner(ax,*args,**kwargs)
1563 def inner(ax,data=None,**kwargs):
1564 if data is None:
-> 1565 return func(ax,*map(sanitize_sequence,args),**kwargs)
1566
1567 bound = new_sig.bind(ax,**kwargs)
~\AppData\Roaming\Python\python37\site-packages\matplotlib\axes\_axes.py in bar(self,x,**kwargs)
2394 edgecolor=e,2395 linewidth=lw,-> 2396 label='_nolegend_',2397 )
2398 r.update(kwargs)
~\AppData\Roaming\Python\python37\site-packages\matplotlib\patches.py in __init__(self,xy,angle,**kwargs)
725 """
726
--> 727 Patch.__init__(self,**kwargs)
728
729 self._x0 = xy[0]
~\AppData\Roaming\Python\python37\site-packages\matplotlib\patches.py in __init__(self,edgecolor,facecolor,color,linewidth,linestyle,antialiased,hatch,fill,capstyle,joinstyle,**kwargs)
87 self.set_fill(fill)
88 self.set_linestyle(linestyle)
---> 89 self.set_linewidth(linewidth)
90 self.set_antialiased(antialiased)
91 self.set_hatch(hatch)
~\AppData\Roaming\Python\python37\site-packages\matplotlib\patches.py in set_linewidth(self,w)
393 w = mpl.rcParams['axes.linewidth']
394
--> 395 self._linewidth = float(w)
396 # scale the dash pattern by the linewidth
397 offset,ls = self._us_dashes
TypeError: only size-1 arrays can be converted to Python scalars
有什么建议吗？
解决方法
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