Question

我有五个cvs文件，其中包含两个对应于每次运行的样本的Diameter和Intensity的列。每个文件对应于样本的单次运行，这些列的值可能与运行略有不同，但彼此接近。

从csv文件运行的示例：

Diameter,Intensity
3.00e+1,0.00
3.19e+1,0.00
3.39e+1,0.00
3.60e+1,0.00
3.83e+1,0.00
4.08e+1,7.01

我的目标是使用Python绘制一个散点图，读取这五个cvs文件并生成一条散点曲线，将五次运行平均到一条平均曲线中？怎么办？

这是我使用Plotly进行编码的尝试。以下代码的问题在于，当平均五次运行的强度时，曲线绘制不正确：

files = defaultdict(list)
file_start = raw_input("File Starts: ")

def read_data(file):
 with open(file,'Ur') as f:
  reader=csv.reader(f,delimiter=',')
  for row in reader:
  if "d (nm)" in row:
   continue
  else:
    files[file].append(row)


os.chdir(".")           
for file in glob.glob("*.csv"):
 if file_start in file: 
  read_data(file)

for key, val in files.iteritems():
 # R1 is run 1 from the file being read                                                                     
 if "R1" in key:
  for v in val:                             
   l1.append(float(v[0]))
   l2.append(float(v[1]))

 elif "R2" in key:
  for v in val:                             
   l3.append(float(v[0]))
   l4.append(float(v[1]))

 elif "R3" in key:
 for v in val:
  l5.append(float(v[0]))
  l6.append(float(v[1]))

 elif "R4" in key:
  for v in val:
   l7.append(float(v[0]))
   l8.append(float(v[1]))   

 elif "R5" in key:
 for v in val:
  l9.append(float(v[0]))
  l10.append(float(v[1]))

sum_val_0 = 0; avg_l_0 =[]; sum_val_1 = 0; avg_l_1 =[]


for val in zip(l1, l3, l5, l7, l9, l2, l4, l6, l8, l10):

    sum_val_0 = sum_val_0 + float(val[0])+float(val[1]) + float(val[2]) +float(val[3])+float(val[4])


    avg = sum_val_0/ len(val)

    avg_l_0.append(avg)

    sum_val_1 = sum_val_1 + float(val[5])+float(val[6]) + float(val[7]) +float(val[8])+float(val[9])
    avg_1 = sum_val_1/ 10
    avg_l_1.append(avg_1)



trace0 = go.Scatter(

 x = avg_l_0,

 y= avg_l_1,

 line = dict(
    color = ('rgb(205, 12, 24)'),
    width = 2)
)               

data = [trace0]
layout = go.Layout(

            dict(showlegend=True,
             xaxis = dict(title = 'Diameter', range = [35,1500]),

             yaxis = dict(title = 'Intensity', range = [-20,120], showline=True,),
          )
)


fig = dict(data=data, layout=layout)

样品的平均多次运行（5次运行）＆amp;图表

0 个答案: