Question

import csv
import matplotlib.pyplot as plt

filename = r"C:\Users\name\Desktop\sampledata.csv"

with open(filename, newline='') as file:
    reader = csv.reader(file)
    header = next(reader)
    data = []   
    for row in reader:
        measured_time = float(row[0])
        wv1 = float(row[1])
        wv2 = float(row[2])
        data.append([measured_time, wv1,wv2])

time=data[0]
y1=data[1]

plt.plot(time,y1)

plt.show()

工作得很好，但是在我使用真实数据之前这是一个测试。

现在，真实数据没有标题，只包含2列。

import csv
import matplotlib.pyplot as plt

filename = r"C:\Users\name\Desktop\real_data.csv"

with open(filename, newline='') as file:
    reader = csv.reader(file,delimiter=';')
    data = []   
    for row in reader:
        measured_time = float(row[0])
        wv1 = float(row[1])
        data.append([measured_time, wv1])

time=data[0]
y1=data[1]

plt.plot(time,y1)

plt.show()

这会产生

时间= [100.1]

Y1 = [110,2]

所以基本上只是前两行，而第一个代码块正确地提取列

时间= [100 110 ...]

y1 = [1 2 ...]

当我使用

时会发生同样的事情

import csv
import matplotlib.pyplot as plt

filename = r"C:\Users\name\Desktop\sampledata.csv"

with open(filename, newline='') as file:
    reader = csv.reader(file)
    header = next(reader)
    data = []   
    for row in reader:
        measured_time = float(row[0])
        wv1 = float(row[1])
        data.append([measured_time, wv1])

time=data[0]
y1=data[1]

plt.plot(time,y1)

plt.show()

现在我的解决方法是

data = np.array(data).astype("float")


time=data[:,0]
y1=data[:,1]

当然必须有更好的方法，我只是从Python开始。

使用的数据：

sample data
Time,279 nm,306 nm
0,100,150
1,110,175
2,125,230
3,130,245

real data
3.986931e+002;0.000000e+000
4.021733e+002;0.000000e+000

Answer 1

list(zip())允许对一组序列进行处理：

time = [100, 1]
y1 = [110, 2]
l = list(zip(time, y1))
print(l) # [(100, 110), (1, 2)]
time = l[0] # (100, 110)
y1 = l[1] # (1, 2)

它们是可以用作列表的元组，或者您可以将它们转换为列表：

time = list(l[0]) # [100, 110]
y1 = list(l[1]) # [1, 2]

如果你想直接进入相反的形式，你可以交换阅读部分：

import csv
import matplotlib.pyplot as plt

filename = r"C:\Users\name\Desktop\sampledata.csv"

with open(filename, newline='') as file:
    reader = csv.reader(file)
    # header = next(reader)
    time = []
    y1 = []   
    for row in reader:
        time.append( float(row[0]) )
        y1.append( float(row[1]) )

plt.plot(time,y1)

plt.show()

在specyfing分隔符时导入csv数据行和列

1 个答案: