我想将excel列(NOT行)提取到数组的python数组中。它必须是数组,而不是字典。
excel文件如下所示:
A B C
1 123 534 576
2 456 745 345
3 234 765 285
我想以下列格式将它带入python:
[[123,534,576],[456,745,345],[234,765,285]]
我该怎么做?谢谢
答案 0 :(得分:8)
import xlrd
book = xlrd.open_workbook('your.xlsx')
sheet = book.sheet_by_name('example')
data = [[sheet.cell_value(r, c) for c in range(sheet.ncols)] for r in range(sheet.nrows)]
# Profit !
print(data)
答案 1 :(得分:2)
如果您正在按照上述注释查看xlrd软件包,可以尝试一下,看看它是否有效吗?
(基于我在此处找到的内容:http://www.youlikeprogramming.com/2012/03/examples-reading-excel-xls-documents-using-pythons-xlrd/)
import xlrd
workbook = xlrd.open_workbook('my_workbook.xls')
worksheet = workbook.sheet_by_name('Sheet1')
num_rows = worksheet.nrows - 1
curr_row = 0
#creates an array to store all the rows
row_array = []
while curr_row < num_rows:
row = worksheet.row(curr_row)
row_array += row
curr_row += 1
print(row_array)
答案 2 :(得分:1)
使用xlrd加载数据 row-wise ,然后使用zip转置它。
>>>
>>> a = [[1,2,3],[4,5,6],[7,8,9]]
>>> zip(*a)
[(1, 4, 7), (2, 5, 8), (3, 6, 9)]
>>>
使用xlrd加载数据 row-wise ,用它来创建一个numpy数组,然后转置它。
>>> import numpy
>>> a = [[1,2,3],[4,5,6],[7,8,9]]
>>> z = numpy.array(a)
>>> z
array([[1, 2, 3],
[4, 5, 6],
[7, 8, 9]])
>>> z.transpose()
array([[1, 4, 7],
[2, 5, 8],
[3, 6, 9]])
>>>
答案 3 :(得分:1)
我明白了。
import csv
cr = csv.reader(open("temp.csv","rb"))
arr = range(100) # adjust to needed
x = 0
for row in cr:
arr[x] = row
x += 1
print(arr[:22]) # adjust to needed
答案 4 :(得分:0)
import csv
array = []
with open(* insert file directory here*) as fin:
reader = csv.reader(fin)
rows = [row for row in reader]
for row in rows:
j = 0
arr = []
for i = 0 < 3:
arr[i] = row[i]
array[j] = arr
j = j + 1
答案 5 :(得分:0)
import csv
csv_rows = csv.reader(open("temp.csv","r"))
result_array = []
for row_index, row in enumerate(csv_rows):
if row_index != 0: #to neglect column names row
result_array.append(row)
print(result_array)