尝试将 y 变量读入 pyplot.scatter 时出现 IndexError

IndexError when trying to read y variable into pyplot.scatter

我试图创建的最终产品是一个程序,它从 csv(已附加,称为 OutputC.csv)获取输入,并允许用户从他们 select 的列中绘制散点图.我决定先创建预 select 列的图形,然后再使用 rawinput 和变量。所以,我遇到的问题是 python 将数据读入 pyplot 的方式。数据取自输入 csv 并写入它自己的文件 (Qout14.csv),我试图从中绘制。不幸的是,即使 x 和 y 变量列表的长度相同,我也会收到 IndexError。在做了一些阅读后,我想知道问题是否可能是 y 数据没有逗号分隔实例中的数据,所以它可能只是将所有 y 作为字符串读取,所以它没有任何其他内容名单。令人困惑的部分是同一行代码适用于变量的另一端,即 x。谁能指出我的错误在哪里?

Example of Inputs(Columns 1 and 7 of OutputC.csv):
pcp Qout14
2.3 7.20E-03
3   1.34E-02
3.3 1.50E-02
2.3 8.25E-03
3   1.32E-02
2.5 9.47E-03
3   1.28E-02
3.6 1.81E-02
2.5 1.02E-02
2.5 9.44E-03
2   6.00E-03
2.8 1.17E-02
2.8 1.12E-02
2.8 1.16E-02

Traceback (most recent call last): File "C:\Users\jmiyama\Desktop\Python Files\OutputCtoScatterplot.py", line 48, in main() File "C:\Users\jmiyama\Desktop\Python Files\OutputCtoScatterplot.py", line 35, in main y = [row.split(',')[1] for row in data[1:]] IndexError: list index out of range

import csv
import numpy as np
import matplotlib.pyplot as plt
import pandas
import collections

def getColumn(filename, column):
    results = csv.reader(open(filename), dialect='excel')   
    return [result[column] for result in results]

def dictcolumn():
    pcp = getColumn("C:\Users\jmiyama\Desktop\Python Files\OutputC.csv",1)
    Qout14 = getColumn("C:\Users\jmiyama\Desktop\Python Files\OutputC.csv",7)
    scatter={}
    scatter["pcp"]= pcp
    scatter["Qout14"]= Qout14
    return scatter

def main():
    scatter = dictcolumn()
    file = 'Qout14.csv'
    with open(file, 'w+') as csv_file:
        writer = csv.writer(csv_file, lineterminator='\n')
        writer.writerows(zip(*scatter.values()))

    with open("Qout14.csv") as f:
        data = f.read()
    data = data.split('\n')
    # trying to split the zipped values into columns
    x = [row.split(',')[0] for row in data[1:]]
    #THE CODE WORKS UP TO HERE
    y = [row.split(',')[1] for row in data[1:]]
    fig = plt.figure()
    ax = fig.add_subplot(111)
    ax.grid()

    plt.scatter(x,y)
    plt.xlabel('pcp')
    plt.ylabel('Qout14')
    plt.title('Qout14 vs pcp')
    plt.show()

if __name__ == '__main__':
   main()

data = data.split('\n') 似乎在末尾添加了额外的 "blank" 行,因此下面会起作用。

x = [row.split(',')[0] for row in data[1:-1]]
y = [row.split(',')[1] for row in data[1:-1]]