section. For instance, you can copy the following text to the clipboard (CTRL-C on many operating systems): A B C x 1 4 p y 2 5 q z 3 6 r And then import the data directly to a DataFrame by calling: clipdf below functionality. On Windows, doing this is quite an ordeal at the moment, but users on Unix-like systems should find it quite easy. As a general rule, I would recommend using the latest revision of rpy2

section. For instance, you can copy the following text to the clipboard (CTRL-C on many operating systems): A B C x 1 4 p y 2 5 q z 3 6 r And then import the data directly to a DataFrame by calling: clipdf below functionality. On Windows, doing this is quite an ordeal at the moment, but users on Unix-like systems should find it quite easy. As a general rule, I would recommend using the latest revision of rpy2

section. For instance, you can copy the following text to the clipboard (CTRL-C on many operating systems): A B C x 1 4 p y 2 5 q z 3 6 r And then import the data directly to a DataFrame by calling: clipdf below functionality. On Windows, doing this is quite an ordeal at the moment, but users on Unix-like systems should find it quite easy. rpy2 evolves in time and the current interface is designed for the 2.2

method. For instance, you can copy the following text to the clipboard (CTRL-C on many operating systems): A B C x 1 4 p y 2 5 q z 3 6 r And then import the data directly to a DataFrame by calling: clipdf Following which you can paste the clipboard contents into other applications (CTRL-V on many operating systems). Here we illustrate writing a DataFrame into clipboard and reading it back. In [168]: df=pd.DataFrame(randn(5 below functionality. On Windows, doing this is quite an ordeal at the moment, but users on Unix-like systems should find it quite easy. rpy2 evolves in time, and is currently reaching its release 2.3, while

method. For instance, you can copy the following text to the clipboard (CTRL-C on many operating systems): A B C x 1 4 p y 2 5 q z 3 6 r And then import the data directly to a DataFrame by calling: clipdf Following which you can paste the clipboard contents into other applications (CTRL-V on many operating systems). Here we illustrate writing a DataFrame into clipboard and reading it back. In [212]: df=pd.DataFrame(randn(5 below functionality. On Windows, doing this is quite an ordeal at the moment, but users on Unix-like systems should find it quite easy. rpy2 evolves in time, and is currently reaching its release 2.3, while

method. For instance, you can copy the following text to the clipboard (CTRL-C on many operating systems): A B C x 1 4 p y 2 5 q z 3 6 r And then import the data directly to a DataFrame by calling: clipdf Following which you can paste the clipboard contents into other applications (CTRL-V on many operating systems). Here we illustrate writing a DataFrame into clipboard and reading it back. 550 Chapter 19. IO below functionality. On Windows, doing this is quite an ordeal at the moment, but users on Unix-like systems should find it quite easy. rpy2 evolves in time, and is currently reaching its release 2.3, while

method. For instance, you can copy the following text to the clipboard (CTRL-C on many operating systems): 246 Chapter 4. User Guide pandas: powerful Python data analysis toolkit, Release 0.25.3 A B Following which you can paste the clipboard contents into other applications (CTRL-V on many operating systems). Here we illustrate writing a DataFrame into clipboard and reading it back. >>> df = pd.DataFrame({'A':

method. For instance, you can copy the following text to the clipboard (CTRL-C on many operating systems): A B C x 1 4 p y 2 5 q z 3 6 r And then import the data directly to a DataFrame by calling: clipdf Following which you can paste the clipboard contents into other applications (CTRL-V on many operating systems). Here we illustrate writing a DataFrame into clipboard and reading it back. In [227]: df=pd.DataFrame(randn(5 below functionality. On Windows, doing this is quite an ordeal at the moment, but users on Unix-like systems should find it quite easy. rpy2 evolves in time, and is currently reaching its release 2.3, while

method. For instance, you can copy the following text to the clipboard (CTRL-C on many operating systems): A B C x 1 4 p y 2 5 q z 3 6 r And then import the data directly to a DataFrame by calling: clipdf Following which you can paste the clipboard contents into other applications (CTRL-V on many operating systems). Here we illustrate writing a DataFrame into clipboard and reading it back. In [227]: df=pd.DataFrame(randn(5 below functionality. On Windows, doing this is quite an ordeal at the moment, but users on Unix-like systems should find it quite easy. rpy2 evolves in time, and is currently reaching its release 2.3, while

method. For instance, you can copy the following text to the clipboard (CTRL-C on many operating systems): A B C x 1 4 p y 2 5 q z 3 6 r And then import the data directly to a DataFrame by calling: clipdf Following which you can paste the clipboard contents into other applications (CTRL-V on many operating systems). Here we illustrate writing a DataFrame into clipboard and reading it back. In [239]: df=pd.DataFrame(randn(5 below functionality. On Windows, doing this is quite an ordeal at the moment, but users on Unix-like systems should find it quite easy. rpy2 evolves in time, and is currently reaching its release 2.3, while