解决方法：使用read_csv方法时，通过names参数设定列名（不小于数据里的最大列数）。
import numpy as np
import pandas as pd
import glob
files = glob.glob(r'*.txt')
f = open(files[0], 'r')
column_names = [i for i in range(0, 10000)] # 列数不小于实际数据的列数
df = pd.read_csv(files[0], delimiter=' ', names=column_names) # 一定要加入names参数
df = df.drop([df.columns[0], df.columns[1]], axis=1) # 删除第1、2列
data = np.array(df)
temp = []
for i in range(np.size(data, 0)):
data_temp = data[i, :]
data_new_l = np.delete(data_temp, np.isnan(data_temp), 0)
temp = pd.concat([pd.Dataframe(temp), pd.Dataframe([data_new_l])], axis=0)
data_new = np.array(temp)
