data = f.readlines()

I'm sorry, as an AI language model, I don't have enough context to provide a proper response. Can you please provide more information or context so I can better understand what you're looking for?

相关问题

import numpy as np import matplotlib.pyplot as plt with open('01_nve_limit.lammpstrj', 'r') as f: data = f.readlines() #print(float(data[0])) for _ in range(9): #next(f) try: while True: a = next(f) print(a) except StopIteration: pass for line in f: #print(line) print(float(data[0])) data = np.loadtxt(f) print(data.reshape(-1,5)) b = np.logical_and(data[ : , 4 ] >= -35 ,data[ : , 4 ] <= 601) data = data[mask] data = data[np.argsort(data[:,4])] x = np.arange(-35, 600, 1) y = np.zeros_like(x) index = 0 for i in range(len(x)): while index < len(data) and data[index,4] < x[i]: index += 1 while index < len(data) and data[index,4] < x[i]+1: y[i] += data[index,5] index += 1 y[i] /= 879.4显示报错：b = np.logical_and(data[ : , 4 ] >= -35 ,data[ : , 4 ] <= 601) IndexError: too many indices怎么解决

这个错误是因为你使用了 `f` 迭代器两次，第一次迭代器已经迭代到了文件的末尾，所以第二次迭代时就没有数据了，导致你尝试访问不存在的数据而出现 `IndexError: too many indices` 错误。

你可以将 `data = np.loadtxt(f)` 这一行代码放在第一个 `for` 循环结束后，这样 `f` 迭代器就不会被耗尽，也不会出现上述错误。修改后的代码如下所示：

import numpy as np
import matplotlib.pyplot as plt

with open('01_nve_limit.lammpstrj', 'r') as f:
    data = f.readlines()
    #print(float(data[0]))
    for _ in range(9):
        #next(f)
        try:
            while True:
                a = next(f)
                print(a)
        except StopIteration:
            pass

    # 将这行代码放在第一个 for 循环结束后
    data = np.loadtxt(f)
    
    print(data.reshape(-1,5))
    
    b =  np.logical_and(data[ : , 4 ] >= -35 ,data[ : , 4 ] <= 601)
    data = data[mask]
    data = data[np.argsort(data[:,4])]
    
    x = np.arange(-35, 600, 1)
    y = np.zeros_like(x)
    
    index = 0
    for i in range(len(x)):
        while index < len(data) and data[index,4] < x[i]:
            index += 1
        while index < len(data) and data[index,4] < x[i]+1:
            y[i] += data[index,5]
            index += 1
        y[i] /= 879.4
    
    plt.plot(x, y)
    plt.show()

如果你还有其他问题，请随时提出。

import os import re import xlrd import xlwt print("当前路径：", os.getcwd()) file_path = os.getcwd() n = re.split(r'\\', file_path) path = file_path + '\\' + n[5] + ".xls" workbook = xlwt.Workbook(encoding='utf-8') for filename in os.listdir(file_path): if (os.path.splitext(filename)[-1] == ".txt"): data_sheet = workbook.add_sheet(filename[:-4]) data_sheet.write(0, 0, 'No.') data_sheet.write(0, 1, 'test_file_name') data_sheet.write(0, 2, 'rate_ratio') with open(filename, 'r') as f: data = f.readlines() key = 1 sheet_row = 1 while key >= 0: ret = re.search(".bin", data[key]) if ret != None: #print(key) #print(data[key]) #write to excel data_sheet.write(sheet_row, 0, key) data_sheet.write(sheet_row, 1, data[key]) sheet_row = sheet_row + 1 else: break key = key + 1 count = key - 1 count_idx = 1 sheet_row = 1 while key >= 0: ret = re.match("Tensor rate is ", data[key]) if ret != None: #print(count_idx, data[key]) data_sheet.write(sheet_row, 2, data[key][14:]) sheet_row = sheet_row + 1 count_idx = count_idx + 1 key = key + 1 if count_idx > count: break workbook.save(path) 优化上面的代码

上面的代码可以进行如下的优化：

1. 使用`os.path.join()`代替手动拼接路径，可以保证路径的正确性。
2. 使用`with open()`语句打开文件，可以自动管理文件的打开和关闭。
3. 使用正则表达式的`match()`方法代替`search()`方法，因为`search()`方法会在整个字符串中查找匹配，而`match()`方法只会从字符串开头开始匹配。
4. 将重复的代码段抽取为函数，以提高代码的可读性和复用性。

下面是优化后的代码：

import os
import re
import xlwt

def process_file(filename, data_sheet):
    with open(filename, 'r') as f:
        data = f.readlines()
        sheet_row = 1
        for line in data:
            if line.endswith('.bin\n'):
                data_sheet.write(sheet_row, 0, sheet_row)
                data_sheet.write(sheet_row, 1, line)
                sheet_row += 1
            elif line.startswith("Tensor rate is "):
                data_sheet.write(sheet_row, 2, line[14:])
                sheet_row += 1

def main():
    file_path = os.getcwd()
    n = re.split(r'\\', file_path)
    path = os.path.join(file_path, n[5] + ".xls")
    
    workbook = xlwt.Workbook(encoding='utf-8')
    for filename in os.listdir(file_path):
        if os.path.splitext(filename)[-1] ==  ".txt":
            data_sheet = workbook.add_sheet(filename[:-4])
            data_sheet.write(0, 0, 'No.')
            data_sheet.write(0, 1, 'test_file_name')
            data_sheet.write(0, 2, 'rate_ratio')

            process_file(filename, data_sheet)
    
    workbook.save(path)

if __name__ == '__main__':
    main()

通过将重复的代码段抽取为函数`process_file()`，提高了代码的可读性和可维护性。同时，使用`os.path.join()`和`with open()`语句更加规范和安全地处理路径和文件操作。