blocks|key|3108337|text|尝试使用to_clipboard()方法。例如，对于数据，df：df.to_clipboard()将将所述数据复制到剪贴板。然后，可以将其粘贴到Excel或Google中。|type|unstyled|depth|inlineStyleRanges|offset|length|style|BOLD|entityRanges|data|3108338|entityMap^0|W|H|0^^$0|@$1|2|3|4|5|6|7|H|8|@$9|I|A|J|B|C]]|D|@]|E|$]]|$1|F|3|-4|5|6|7|K|8|@]|D|@]|E|$]]]|G|$]]

Try using the to_clipboard() method. E.g., for a dataframe, df: df.to_clipboard() will copy said dataframe to your clipboard. You can then paste it into Excel or Google Docs.

blocks|key|3108403|text|如果df.to_clipboard不能工作的话。这会管用的。|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|3108404|import+io
with+io.StringIO()+as+buffer:
++++df.to_csv(buffer,+sep='+',+index=False)
++++print(buffer.getvalue())|code-block|syntax|javascript|3108405|然后，您可以复制打印的数据，并将其粘贴到Excel或Google中。|3108406|entityMap^0|2|F|0|0|0^^$0|@$1|2|3|4|5|6|7|O|8|@$9|P|A|Q|B|C]]|D|@]|E|$]]|$1|F|3|G|5|H|7|R|8|@]|D|@]|E|$I|J]]|$1|K|3|L|5|6|7|S|8|@]|D|@]|E|$]]|$1|M|3|-4|5|6|7|T|8|@]|D|@]|E|$]]]|N|$]]

If <code>df.to_clipboard</code> doesn't work. This will work.

<pre><code>import io
with io.StringIO() as buffer:
 df.to_csv(buffer, sep=' ', index=False)
 print(buffer.getvalue())
</code></pre>

Then, you can copy the printed dataframe and paste it in Excel or Google Sheets.

blocks|key|3108442|text|将输出粘贴到像Atom这样的IDE中，然后粘贴到/Excel中|type|unstyled|depth|inlineStyleRanges|entityRanges|data|3108443|entityMap^0|0^^$0|@$1|2|3|4|5|6|7|D|8|@]|9|@]|A|$]]|$1|B|3|-4|5|6|7|E|8|@]|9|@]|A|$]]]|C|$]]

Paste the output to an IDE like Atom and then paste in Google Sheets/Excel

blocks|key|3020935|text|如果您能够使csv或html可用，并可通过url访问-您可以在google工作表中使用这一点。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|3020936|=IMPORTDATA("url+to+the+csv/html+file")|code-block|syntax|javascript|3020937|entityMap^0|0|0^^$0|@$1|2|3|4|5|6|7|I|8|@]|9|@]|A|$]]|$1|B|3|C|5|D|7|J|8|@]|9|@]|A|$E|F]]|$1|G|3|-4|5|6|7|K|8|@]|9|@]|A|$]]]|H|$]]

If you are able to make the csv or html available and reachable by a url - you can use this in google sheets.

<pre><code>=IMPORTDATA("url to the csv/html file")
</code></pre>

blocks|key|3020983|text|根据我的经验，SpreadSheet使用制表(\t)分隔单元格，用换行符(\n)分隔行。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|3020984|假设这一点，我编写了一个从剪贴板数据转换的简单函数：|3020985|def+from_excel_to_list(copy_text):
++++"""Use+it+to+copy+and+paste+data+from+SpreadSheet+software
++++(MS+Excel,+Libreoffice)+and+convert+to+a+list
++++"""
++++if+isinstance(copy_text,+str):
++++++++array+=+[]
++++++++rows+=+copy_text.split("\n")++#+splits+rows
++++++++for+row+in+rows:
++++++++++++if+len(row):++#+removes+empty+lines
++++++++++++++++array.append(row.split("\t"))
++++++++return+array
++++else:
++++++++raise+TypeError("text+must+be+string")|code-block|syntax|javascript|3020986|您可以定义木星内部的功能并以这样的方式使用它：|3020987|在SpreadSheet上使用ctrl-c进行复制，然后调用函数from_excel_to_list，在双括号内粘贴ctrl-v的数据。|3020988|my_excel_converted+=+from_excel_to_list("""Paste+here+with+ctrl-v+the+text""")|3020989|示例|offset|length|style|BOLD|3020990|来自ctrl-c的数据：|3020991|N+++U+++tot
1+++18,236++18,236
17++20,37+++346,29
5+++6,318+++31,59|3020992|调用该函数：|3020993|from_excel_to_list("""N+U+++tot
1+++18,236++18,236
17++20,37+++346,29
5+++6,318+++31,59
""")|3020994|结果是木星：|3020995|[['N',+'U',+'tot'],
+['1',+'18,236',+'18,236'],
+['17',+'20,37',+'346,29'],
+['5',+'6,318',+'31,59']]|3020996|这是进一步阐述的基础。同样的方法也可以用于获得字典、名称等等。|3020997|entityMap^0|0|0|0|0|0|0|0|2|0|0|0|0|0|0|0|0^^$0|@$1|2|3|4|5|6|7|1A|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|1B|8|@]|9|@]|A|$]]|$1|D|3|E|5|F|7|1C|8|@]|9|@]|A|$G|H]]|$1|I|3|J|5|6|7|1D|8|@]|9|@]|A|$]]|$1|K|3|L|5|6|7|1E|8|@]|9|@]|A|$]]|$1|M|3|N|5|F|7|1F|8|@]|9|@]|A|$G|H]]|$1|O|3|P|5|6|7|1G|8|@$Q|1H|R|1I|S|T]]|9|@]|A|$]]|$1|U|3|V|5|6|7|1J|8|@]|9|@]|A|$]]|$1|W|3|X|5|F|7|1K|8|@]|9|@]|A|$G|H]]|$1|Y|3|Z|5|6|7|1L|8|@]|9|@]|A|$]]|$1|10|3|11|5|F|7|1M|8|@]|9|@]|A|$G|H]]|$1|12|3|13|5|6|7|1N|8|@]|9|@]|A|$]]|$1|14|3|15|5|F|7|1O|8|@]|9|@]|A|$G|H]]|$1|16|3|17|5|6|7|1P|8|@]|9|@]|A|$]]|$1|18|3|-4|5|6|7|1Q|8|@]|9|@]|A|$]]]|19|$]]

In my experience SpreadSheet uses tabulation (\t) to separate cells and newline (\n) to separate rows.

Assuming this I wrote a simple function to convert from clipboard data:

<pre><code>def from_excel_to_list(copy_text):
 """Use it to copy and paste data from SpreadSheet software
 (MS Excel, Libreoffice) and convert to a list
 """
 if isinstance(copy_text, str):
 array = []
 rows = copy_text.split("\n") # splits rows
 for row in rows:
 if len(row): # removes empty lines
 array.append(row.split("\t"))
 return array
 else:
 raise TypeError("text must be string")
</code></pre>

You can define the function inside Jupiter and use it in this way:

Copy with ctrl-c on the SpreadSheet and than call the function from_excel_to_list pasting the data with ctrl-v inside the double brackets

<pre><code>my_excel_converted = from_excel_to_list("""Paste here with ctrl-v the text""")
</code></pre>

Example

Data from ctrl-c:

<pre><code>N U tot
1 18,236 18,236
17 20,37 346,29
5 6,318 31,59
</code></pre>

Call The function:

<pre><code>from_excel_to_list("""N U tot
1 18,236 18,236
17 20,37 346,29
5 6,318 31,59
""")
</code></pre>

Result in Jupiter:

<pre><code>[['N', 'U', 'tot'],
 ['1', '18,236', '18,236'],
 ['17', '20,37', '346,29'],
 ['5', '6,318', '31,59']]
</code></pre>

This is a base for further elaboration.
The same approach can be used to obtain dictionary, namedtuple and so on.

blocks|key|3021172|text|​|type|unstyled|depth|inlineStyleRanges|entityRanges|data|3021173|📷|atomic|offset|length|3021174|3021175|对于一个小表，您可以打印dataframe，使用鼠标选择表，使用Ctrl/Cmd+%2B+C复制表，转到电子表格并粘贴该表，您将得到以下内容：|3021176|3021177|3021178|单击第一个单元格并插入一个单元格以修复标头：|3021179|3021180|3021181|好了。|3021182|PS:对于更大的表，某些行/列将显示为“.”，请参考How+do+I+expand+the+output+display+to+see+more+columns+of+a+Pandas+DataFrame?以显示所有行和列。对于更大的表(这是很难选择使用鼠标)，这种方法不太方便。|3021183|entityMap|0|IMAGE|mutability|IMMUTABLE|imageUrl|https://developer.qcloudimg.com/http-save/yehe-900000/cdcb3845bdd7b909b818396a31cbd486.png|imageAlt|1|https://developer.qcloudimg.com/http-save/yehe-900000/48779056d4d91e9484fac5596555e66d.png|2|https://developer.qcloudimg.com/http-save/yehe-900000/1d5d1d47c62db071daa47f6cd8521630.png|3|LINK|MUTABLE|url|https://stackoverflow.com/questions/11707586/how-do-i-expand-the-output-display-to-see-more-columns-of-a-pandas-dataframe^0|0|0|1|0|0|0|0|0|1|1|0|0|0|0|1|2|0|0|0|Q|25|3|0^^$0|@$1|2|3|4|5|6|7|1B|8|@]|9|@]|A|$]]|$1|B|3|C|5|D|7|1C|8|@]|9|@$E|1D|F|1E|1|1F]]|A|$]]|$1|G|3|4|5|6|7|1G|8|@]|9|@]|A|$]]|$1|H|3|I|5|6|7|1H|8|@]|9|@]|A|$]]|$1|J|3|C|5|D|7|1I|8|@]|9|@$E|1J|F|1K|1|1L]]|A|$]]|$1|K|3|4|5|6|7|1M|8|@]|9|@]|A|$]]|$1|L|3|M|5|6|7|1N|8|@]|9|@]|A|$]]|$1|N|3|C|5|D|7|1O|8|@]|9|@$E|1P|F|1Q|1|1R]]|A|$]]|$1|O|3|4|5|6|7|1S|8|@]|9|@]|A|$]]|$1|P|3|Q|5|6|7|1T|8|@]|9|@]|A|$]]|$1|R|3|S|5|6|7|1U|8|@]|9|@$E|1V|F|1W|1|1X]]|A|$]]|$1|T|3|-4|5|6|7|1Y|8|@]|9|@]|A|$]]]|U|$V|$5|W|X|Y|A|$Z|10|11|-4]]|12|$5|W|X|Y|A|$Z|13|11|-4]]|14|$5|W|X|Y|A|$Z|15|11|-4]]|16|$5|17|X|18|A|$19|1A]]]]

<a href="https://i.stack.imgur.com/q1CjV.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/q1CjV.png" alt="enter image description here" /></a>
For a small table, you can print the dataframe, use mouse to select the table, copy the table using Ctrl/Cmd + C, go to spreadsheet and paste the table, and you will get the following:
<a href="https://i.stack.imgur.com/iVrPr.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/iVrPr.png" alt="enter image description here" /></a>
click on the first cell and insert a cell to fix the header:
<a href="https://i.stack.imgur.com/U6YTm.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/U6YTm.png" alt="enter image description here" /></a>
Done.
PS: for a bigger table, some rows/columns will show as '...', refer to <a href="https://stackoverflow.com/questions/11707586/how-do-i-expand-the-output-display-to-see-more-columns-of-a-pandas-dataframe">How do I expand the output display to see more columns of a Pandas DataFrame?</a> to show all rows and columns. For a even bigger table (that is difficult to select using the mouse), this method is not so convenient.

blocks|key|3108610|text|我使用display()而不是print()，它对我来说很好。示例：|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|3108611|from+IPython.display+import+display
import+pandas+as+pd

dict+=+{'Name'+:+['Alice',+'Bob',+'Charlie'],
++++++++'English'+:+[73,+55,+90],
++++++++'Math'+:+[78,+100,+33],
++++++++'Geography'+:+[92,+87,+72]}

df+=+pd.DataFrame(dict)

display(df)|code-block|syntax|javascript|3108612|结果可以很容易地复制和粘贴到Excel中，格式也不会被弄乱。这种方法也适用于Colab。|3108613|entityMap^0|3|9|F|7|0|0|0^^$0|@$1|2|3|4|5|6|7|O|8|@$9|P|A|Q|B|C]|$9|R|A|S|B|C]]|D|@]|E|$]]|$1|F|3|G|5|H|7|T|8|@]|D|@]|E|$I|J]]|$1|K|3|L|5|6|7|U|8|@]|D|@]|E|$]]|$1|M|3|-4|5|6|7|V|8|@]|D|@]|E|$]]]|N|$]]

I use <code>display()</code> instead of <code>print()</code> and it works fine for me. Example:
<pre><code>from IPython.display import display
import pandas as pd

dict = {'Name' : ['Alice', 'Bob', 'Charlie'],
 'English' : [73, 55, 90],
 'Math' : [78, 100, 33],
 'Geography' : [92, 87, 72]}

df = pd.DataFrame(dict)

display(df)
</code></pre>
The result can easily be copied and pasted into Excel and formatting won't be messed up. This method also works with Colab.

I've been using iPython (aka Jupyter) quite a bit lately for data analysis and some machine learning. But one big headache is copying results from the notebook app (browser) into either Excel or Google Sheets so I can manipulate results or share them with people who don't use iPython.

I know how to convert results to csv and save. But then I have to dig through my computer, open the results and paste them into Excel or Google Sheets. That takes too much time.

And just highlighting a resulting dataframe and copy/pasting usually completely messes up the formatting, with columns overflowing. (Not to mention the issue of long resulting dataframes being truncated when printed in iPython.)

How can I easily copy/paste an iPython result into a spreadsheet?

How to copy/paste a dataframe from iPython into Google Sheets or Excel?

翻译质量差，导致语言生硬或混乱。

没有提供实际的解决方法或示例。

解答不清晰，无法理解或解决问题。

页面排版不美观，阅读体验差。

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最近，我一直在使用iPython (又名木星)进行数据分析和一些机器学习。但令人头疼的是，将笔记本应用程序(浏览器)的结果复制到Excel或Google中，这样我就可以操纵结果，或者与不使用iPython的人分享结果。我知道如何将结果转换为csv并保存。但是，我必须在我的计算机中挖掘，打开结果，并将它们粘贴到Excel或Google中。太花时间了。仅仅高亮显示结果数据和复制/粘贴通常会完全破坏格式

问如何将数据从iPython复制/粘贴到Google或Excel中？
EN

回答 7

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问如何将数据从iPython复制/粘贴到Google或Excel中？EN

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问如何将数据从iPython复制/粘贴到Google或Excel中？
EN