Python 如何使用 numpy 导入 xlsx 文件

Question

我在使用 numpy 导入 csv 数据时没有遇到任何问题，但我的 xlsx 文件一直出现错误。如何将 xlsx 文件转换为 csv 或如何将 xlsx 文件导入 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')

这里是错误

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 只是一个包含大约 100 个数字的列

Answer 1

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

使用pandas更简单