Python 如何使用 numpy 导入 xlsx 文件

我使用 numpy 导入 csv 数据没有遇到任何问题，但我的 xlsx 文件不断出现错误。如何将 xlsx 文件转换为 csv 或如何将 xlsx 文件导入到 x2 变量？

from matplotlib import pyplot as pp
import numpy as np

#this creates a line graph comparing flight arrival time, arrival in queue, and processing time

x,y = np.loadtxt ('LAX_flights.csv',
                unpack = True,
                usecols = (1,2),
                delimiter = ',')

print("Imported data set arrival time")

x2 = np.loadtext ('First_Persons_PT.xlsx',
               unpack = True,
               usecols=(0))

print ("Imported start of processing time")


#y2=
#print ("Imported final time when processed")

pp.plot(x,y, 'g', linewidth = 1)
#pp.plot(x2,y, 'y', linewidth = 1)
pp.grid(b=True, which = 'major', color='0', linestyle='-')

pp.title('Comparing Time of Arrival vs. Queue Arrival Time, Queue Finish Time')
pp.ylabel('Arrival in queue (Green),Process Time (Yellow)')
pp.xlabel('Time of arrival')

pp.savefig('line_graph_comparison.png')

这是错误

Imported data set arrival time
Traceback (most recent call last):
  File "C:\Users\fkrueg1\Dropbox\forest_python_test\Graph_time_of_arrival.py", line 13, in <module>
    x2 = np.loadtext ('First_Persons_PT.xlsx',
AttributeError: 'module' object has no attribute 'loadtext'

xlsx 只是一列大约 100 个数字

import pandas as pd
WS = pd.read_excel('ur.xlsx')
WS_np = np.array(WS)

使用 pandas 更简单