Question

每个人。我有一个列表列表，我想把它们写在一个带有列和行的csv文件中。我已经尝试了写作者，但这不是我想要的。我的列表示例如下：< / p>

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

感谢您的帮助。

有了这个：

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

我在一个细胞中获得1 2，在细胞中获得2 3等。在细胞中不是1，在下一个细胞中是2。

我应该更清楚。我需要将此示例列表写入文件，因此当我使用excel打开它时，每个元素都在它自己的单元格中。我的输出应该是这样的：

1 2
2 3
4 5

不同单元格中的每个元素。

Answer 1

使用csv模块提供的示例非常棒！此外，您始终可以使用格式化字符串简单地写入文本文件，如下面的示例：

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()

我使用;作为分隔符，因为它最适合Excell（您的要求之一）。

希望它有所帮助！

Answer 2

>>> 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
>>>

要获得它以便Excel可以合理地加载它，您需要使用逗号（csv默认值）作为分隔符，除非您在需要分号的区域设置（例如欧洲）中。

Answer 3

好吧，如果您要写入CSV文件，那么为什么要使用空格作为分隔符？ CSV文件使用逗号或分号（在Excel中）作为单元格分隔符，因此如果使用delimiter=' '，则不会生成CSV文件。您应该使用默认分隔符和方言构造csv.writer。如果您想稍后将Excel文件读入Excel，您可以明确指定Excel方言，以明确您的意图（尽管此方言是默认方式）：

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

Answer 4

使用这些代码：

>>> 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")

Answer 5

import pandas as pd
header=['a','b','v']
df=pd.DataFrame(columns=header)
for i in range(len(doc_list)):
  d_id=(test_data.filenames[i]).split('\\')
  doc_id.append(d_id[len(d_id)-1])
  df['a']=doc_id
print(df.head())
df[column_names_to_be_updated]=np.asanyarray(data)
print(df.head())
df.to_csv('output.csv')

使用pandas数据框，我们可以将其写入csv。首先，根据您需要将数据帧存储在csv中创建一个数据帧。然后使用pd.DataFrame.to_csv（）API创建数据框的csv。

如何在python中的列表中的列和行中将数据写入csv文件？

5 个答案: