使用python导入和打印csv文件

我有一个很大的csv文件，下面是其中的一些数据：

"C1_E1",,,,,
"Time","Force","Disp.","Stress","Strain","Stroke"
"sec","N","mm","MPa","%","mm"
"0","0.1192093","0","0.003017193","0","0"
"0.01","0.09536743","2.083333E-05","0.002413754","1.621271E-05","2.083333E-05"
"0.02","0.09536743","0.00025","0.002413754","0.0001945525","0.00025"
"0.03","0.09536743","0.0013125","0.002413754","0.001021401","0.0013125"
"0.04","0.09536743","0.003604167","0.002413754","0.002804799","0.003604167"
"0.05","0.09536743","0.006875","0.002413754","0.005350194","0.006875"
"0.06","0.09536743","0.01104167","0.002413754","0.008592736","0.01104167"
"0.07","0.09536743","0.01602083","0.002413754","0.01246757","0.01602083"
"0.08","0.09536743","0.02191667","0.002413754","0.01705577","0.02191667"
"0.09","0.09536743","0.028625","0.002413754","0.02227626","0.028625"
"0.1","0.09536743","0.035875","0.002413754","0.02791829","0.035875"
"0.11","3.910065","0.04352083","0.09896392","0.03386835","0.04352083"
"0.12","13.39118","0.05145833","0.3389313","0.0400454","0.05145833"
"0.13","18.46155","0.05989583","0.4672626","0.04661154","0.05989583"
"0.14","23.57165","0.06875","0.5965995","0.05350194","0.06875"

我试图使用numpy和matplotlib绘制应力和应变列，因此我编写了以下代码：

from numpy import *
import matplotlib.pyplot as plt

stress_data = genfromtxt('C1-E1.csv', delimiter=',', skip_header=3, usecols=([3]))
strain_data = genfromtxt('C1-E1.csv', delimiter=',', skip_header=3, usecols=([4]))
print(stress_data[:10], strain_data[:10])

map(float, stress_data)
map(float, strain_data)

print(stress_data[:10], strain_data[:10])

plt.xlabel ('x stuff')
plt.ylabel ('y stuff')
plt.title('my test result')
plt.plot(strain_data[:10], stress_data[:10])
plt.show()

问题是输出是错误的

[ nan  nan  nan  nan  nan  nan  nan  nan  nan  nan] [ nan  nan  nan  nan  nan  nan  nan  nan  nan  nan]
[ nan  nan  nan  nan  nan  nan  nan  nan  nan  nan] [ nan  nan  nan  nan  nan  nan  nan  nan  nan  nan]

当然也没有什么阴谋。我确信genfromtxt中存在问题，因为如果我设置dtype=（“| S20”），那么

[b'"0.003017193"' b'"0.002413754"' b'"0.002413754"' b'"0.002413754"'
 b'"0.002413754"' b'"0.002413754"' b'"0.002413754"' b'"0.002413754"'
 b'"0.002413754"' b'"0.002413754"'] [b'"0"' b'"1.621271E-05"' b'"0.0001945525"' b'"0.001021401"'
 b'"0.002804799"' b'"0.005350194"' b'"0.008592736"' b'"0.01246757"'
 b'"0.01705577"' b'"0.02227626"']

由于1.621271E-05采用了科学记数法，这会把情节搞得一团糟。是否有一种方法可以从csv文件中提取数据，并将其转换为可以处理科学符号的格式，以便绘制和分析它

---

很抱歉，我发了这么长的帖子，但我不知道该转到哪里。

当你想处理csv文件时，熊猫库真的很有用

在这里，它使一切变得更简单：

import pandas as pd
import matplotlib.pyplot as plt

df = pd.read_csv('data_1.csv',header=1)

df =df[1:].astype(float)  # Deletes the first row as it contains the unit and is not usefull if you want to plot the data, and convert the dataframe type to float

要将力绘制为时间的函数，只需执行以下操作：

plt.plot(df['Time'],df['Force'])

---

这是数据帧的完美实现。干得好！