如何在python的列表中將數據寫入csv文件中的列和行？

Question

everyone.I列出了一個列表，我想用列和行將它們寫入一個csv文件中。我試過了這些編輯器，但它不是我想要的。我的列表的一個示例如下：

[[1, 2], [2, 3], [4, 5]] 

感謝您的任何幫助。

有了這個：

example=csv.writer(open('test.csv', 'wb'), delimiter=' ') 
example.writerows([[1, 2], [2, 3], [4, 5]]) 

我在旁邊小區的小區和2送1 2單元，2 3的電池等二十多個國家不是1。

我應該已經更清楚了。我需要將這個例子列表寫入一個文件，所以當我用excel打開它時，每個元素都在它自己的單元格中。 我的輸出應該是這樣的：

1 2 
2 3 
4 5 

在diferent小區內的每個元素。

Answer 1

提供的示例使用csv模塊，非常棒！此外，你總是可以簡單地使用格式的字符串，如以下暫定例子寫入一個文本文件：

l = [[1, 2], [2, 3], [4, 5]] 

out = open('out.csv', 'w') 
for row in l: 
    for column in row: 
     out.write('%d;' % column) 
    out.write('\n') 
out.close() 

我用;作爲分隔符，因爲它最具有的Excell（你的需求之一）。

希望它有幫助！

Answer 2

那麼，如果你正在寫一個CSV文件，那你爲什麼要用空格作爲分隔符？ CSV文件使用逗號或分號（在Excel中）作爲單元格分隔符，因此如果使用delimiter=' '，則不會生成CSV文件。您應該簡單地使用默認分隔符和方言構造csv.writer。如果你想讀的CSV文件後到Excel中，你可以明確地指定Excel的話只是爲了讓您的意圖明顯（雖然這方言是默認反正）：

example = csv.writer(open("test.csv", "wb"), dialect="excel") 

Answer 3

>>> import csv 
>>> with open('test.csv', 'wb') as f: 
...  wtr = csv.writer(f, delimiter= ' ') 
...  wtr.writerows([[1, 2], [2, 3], [4, 5]]) 
... 
>>> with open('test.csv', 'r') as f: 
...  for line in f: 
...   print line, 
... 
1 2 <<=== Exactly what you said that you wanted. 
2 3 
4 5 
>>> 

爲了得到它，這樣它可以通過Excel進行合理加載，除非您處於需要分號的地區（例如歐洲），否則您需要使用逗號（csv默認值）作爲分隔符。

Answer 4

與這些代碼一搏：「在細胞」

>>> import pyexcel as pe 
>>> sheet = pe.Sheet(data) 
>>> data=[[1, 2], [2, 3], [4, 5]] 
>>> sheet 
Sheet Name: pyexcel 
+---+---+ 
| 1 | 2 | 
+---+---+ 
| 2 | 3 | 
+---+---+ 
| 4 | 5 | 
+---+---+ 
>>> sheet.save_as("one.csv") 
>>> b = [[126, 125, 123, 122, 123, 125, 128, 127, 128, 129, 130, 130, 128, 126, 124, 126, 126, 128, 129, 130, 130, 130, 130, 132, 132, 132, 132, 132, 132, 132, 132, 132, 132, 132, 132, 132, 132, 132, 132, 132, 132, 132, 132, 132, 132, 132, 132, 134, 134, 134, 134, 134, 134, 134, 134, 133, 134, 135, 134, 133, 133, 134, 135, 136], [135, 135, 136, 137, 137, 136, 134, 135, 135, 135, 134, 134, 133, 133, 133, 134, 134, 134, 133, 133, 132, 132, 132, 135, 135, 133, 133, 133, 133, 135, 135, 131, 135, 136, 134, 133, 136, 137, 136, 133, 134, 135, 136, 136, 135, 134, 133, 133, 134, 135, 136, 136, 136, 135, 134, 135, 138, 138, 135, 135, 138, 138, 135, 139], [137, 135, 136, 138, 139, 137, 135, 142, 139, 137, 139, 138, 136, 137, 141, 138, 138, 139, 139, 139, 139, 138, 138, 138, 138, 137, 137, 137, 137, 138, 138, 136, 137, 137, 137, 137, 137, 137, 138, 148, 144, 140, 138, 137, 138, 138, 138, 137, 137, 137, 137, 137, 138, 139, 140, 141, 141, 141, 141, 141, 141, 141, 141, 141], [141, 141, 141, 141, 141, 141, 141, 139, 139, 139, 140, 140, 141, 141, 141, 140, 140, 140, 140, 140, 141, 142, 143, 138, 138, 138, 139, 139, 140, 140, 140, 141, 140, 139, 139, 141, 141, 140, 139, 145, 137, 137, 145, 145, 137, 137, 144, 141, 139, 146, 134, 145, 140, 149, 144, 145, 142, 140, 141, 144, 145, 142, 139, 140]] 
>>> s2 = pe.Sheet(b) 
>>> s2 
Sheet Name: pyexcel 
+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+ 
| 126 | 125 | 123 | 122 | 123 | 125 | 128 | 127 | 128 | 129 | 130 | 130 | 128 | 126 | 124 | 126 | 126 | 128 | 129 | 130 | 130 | 130 | 130 | 132 | 132 | 132 | 132 | 132 | 132 | 132 | 132 | 132 | 132 | 132 | 132 | 132 | 132 | 132 | 132 | 132 | 132 | 132 | 132 | 132 | 132 | 132 | 132 | 134 | 134 | 134 | 134 | 134 | 134 | 134 | 134 | 133 | 134 | 135 | 134 | 133 | 133 | 134 | 135 | 136 | 
+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+ 
| 135 | 135 | 136 | 137 | 137 | 136 | 134 | 135 | 135 | 135 | 134 | 134 | 133 | 133 | 133 | 134 | 134 | 134 | 133 | 133 | 132 | 132 | 132 | 135 | 135 | 133 | 133 | 133 | 133 | 135 | 135 | 131 | 135 | 136 | 134 | 133 | 136 | 137 | 136 | 133 | 134 | 135 | 136 | 136 | 135 | 134 | 133 | 133 | 134 | 135 | 136 | 136 | 136 | 135 | 134 | 135 | 138 | 138 | 135 | 135 | 138 | 138 | 135 | 139 | 
+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+ 
| 137 | 135 | 136 | 138 | 139 | 137 | 135 | 142 | 139 | 137 | 139 | 138 | 136 | 137 | 141 | 138 | 138 | 139 | 139 | 139 | 139 | 138 | 138 | 138 | 138 | 137 | 137 | 137 | 137 | 138 | 138 | 136 | 137 | 137 | 137 | 137 | 137 | 137 | 138 | 148 | 144 | 140 | 138 | 137 | 138 | 138 | 138 | 137 | 137 | 137 | 137 | 137 | 138 | 139 | 140 | 141 | 141 | 141 | 141 | 141 | 141 | 141 | 141 | 141 | 
+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+ 
| 141 | 141 | 141 | 141 | 141 | 141 | 141 | 139 | 139 | 139 | 140 | 140 | 141 | 141 | 141 | 140 | 140 | 140 | 140 | 140 | 141 | 142 | 143 | 138 | 138 | 138 | 139 | 139 | 140 | 140 | 140 | 141 | 140 | 139 | 139 | 141 | 141 | 140 | 139 | 145 | 137 | 137 | 145 | 145 | 137 | 137 | 144 | 141 | 139 | 146 | 134 | 145 | 140 | 149 | 144 | 145 | 142 | 140 | 141 | 144 | 145 | 142 | 139 | 140 | 
+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+-----+ 
>>> s2[0,0] 
126 
>>> s2.save_as("two.csv")