现在,我正在尝试向现有图表添加错误栏,但在运行代码时遇到了一些错误。下面是代码工作时(没有错误栏)我的添加内容被注释掉了。从中提取信息的文件包含4列,第四列是垂直错误。当我运行带有注释掉的行的代码时,我收到以下错误
Traceback (most recent call last):
File "39.py", line 37, in <module>
plot_graph()
File "39.py", line 29, in plot_graph
plt.errorbar(x1,y1, yerr = z1, marker = 'none', linestyle = 'none')
File "/Users/Bashe/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/matplotlib/pyplot.py", line 2697, in errorbar
errorevery=errorevery, capthick=capthick, **kwargs)
File "/Users/Bashe/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/matplotlib/axes.py", line 5758, in errorbar
in cbook.safezip(y, yerr)]
TypeError: unsupported operand type(s) for -: 'str' and 'str'
这是我的代码。希望有人能告诉我导致这个问题的原因。
import os
import pylab as plt
def plot_graph():
file='Graph.txt'
x = []
y = []
#z = []
x1 = []
y1 = []
#z1 = []
t = []
t1 = []
for dirpath,dirs,files in os.walk('/Users/Bashe/Desktop/121210 p2/'):
if file in files:
infile = open(os.path.join(dirpath, "Graph.txt"), "r")
for columns in (raw.strip().split() for raw in infile):
t = columns[0]
x = columns[1]
y = columns[2]
#z = columns[3]
x1.append(str(x))
y1.append(str(y))
#z1.append(str(z))
t1.append(str(t))
savepath = os.path.join(dirpath, 'Mean vs Temperature for %s.png' %(t1[0]))
plt.plot(x1,y1, marker ='o', linestyle = '--')
#plt.errorbar(x1,y1, yerr = z1, marker = 'none', linestyle = 'none')
plt.xlabel('Temperature')
plt.ylabel('Mean')
plt.title('Mean vs Temperature for %s probe concentration' %(t1[0]))
plt.savefig(savepath)
#plt.show()
infile.close()
答案 0 :(得分:3)
我想你想做这样的事情:
x1, y1, z1 = [], [], []
with open(fname, 'r') as infile:
for columns in (raw.strip().split() for raw in infile):
# convert all of your values floats
t, x, y, z = [float(v) for v in columns]
x1.append(x)
y1.append(y)
z1.append(z)
# make a figure and an axes object
fig, ax = plt.subplots()
# ax.plot(x1, y1, 'o')
ax.errorbar(x1, y1, yerr=z1, marker='o')
如果你有类似csv数据的内容,你可能还想研究使用内置的csv module。
使用上下文管理器打开/关闭文件也是一种好习惯。
答案 1 :(得分:2)
您要将x1
和y1
值作为字符串追加到列表中,然后尝试绘制它们。尝试将它们作为浮点数传递,我认为它是原始的x
和y
。
答案 2 :(得分:0)
我怀疑你应该在这里使用numpy数组。 http://matplotlib.org/1.2.1/examples/pylab_examples/errorbar_demo.html的例子表明了这一点。尝试用numpy数组替换z1,然后你可以做z1 = np.append(z1,float(z))