我有以下python代码:
def graph(seconds,now, dayold, threedayold,weekold):
x = np.arange(len(seconds))
ynow = np.array(now)
yday = np.array(dayold)
y3day = np.array(threedayold)
yweek = np.array(weekold)
# y2 should go on top, so shift them up
plt.plot(x,ynow)
plt.plot(x,yday)
plt.plot(x,y3day,'purple')
plt.plot(x,yweek)
plt.fill_between(x,ynow,yday,color='lightblue')
plt.fill_between(x,yday,y3day,color='green')
plt.fill_between(x,y3day,yweek,color='purple')
plt.fill_between(x,yweek,0,color='red')
plt.show()
生成此图表:
然而,'秒'是非继续结果列表,我真正想要的是:
def graph(seconds,now, dayold, threedayold,weekold):
x = np.array(seconds)
ynow = np.array(now)
yday = np.array(dayold)
y3day = np.array(threedayold)
yweek = np.array(weekold)
# y2 should go on top, so shift them up
plt.plot(x,ynow)
plt.plot(x,yday)
plt.plot(x,y3day,'purple')
plt.plot(x,yweek)
plt.fill_between(x,ynow,yday,color='lightblue')
plt.fill_between(x,yday,y3day,color='green')
plt.fill_between(x,y3day,yweek,color='purple')
plt.fill_between(x,yweek,0,color='red')
plt.show()
这样我就能得到一个合适的X-Y情节。但是,当我尝试第二位代码时,我得到了这个错误:
josephs-mbp-3$Traceback (most recent call last):
File "./temp.py", line 47, in <module>
graph(a[0],a[1],a[2],a[3],a[4])
File "./temp.py", line 41, in graph
plt.fill_between(x,yweek,0,color='red')
File "/System/Library/Frameworks/Python.framework/Versions/2.7/Extras/lib/python/matplotlib/pyplot.py", line 2287, in fill_between
ret = ax.fill_between(x, y1, y2, where, interpolate, **kwargs)
File "/System/Library/Frameworks/Python.framework/Versions/2.7/Extras/lib/python/matplotlib/axes.py", line 6489, in fill_between
y2 = np.ones_like(x)*y2
NotImplementedError: Not implemented for this type
任何人都可以告诉我是什么导致了这个以及我如何修复它?
编辑:啊哈!我修好了,但是想有人告诉我怎么做......更改
plt.fill_between(x,yweek,0,color='red')
到
plt.fill_between(x,yweek,[0]* len(seconds),color='red')
产生了我想要的 - 我能理解为什么这会是一个问题,但我很困惑为什么第一个版本可以工作......任何想法?
答案 0 :(得分:1)
我认为秒可能是一个数字字符串列表,可能是从文件中加载而不是数字类型列表。
matplotlib的fill_between函数需要一个数值类型的数组作为参数,否则它会崩溃。这有点令人困惑,因为当你调用它时,绘图函数似乎会从字符串转换为浮动。
所以我觉得做的事情是:
x = [float(i) for i in seconds]
而不是:
x = np.array(seconds)
应该解决你的问题!