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katrinleinweberWillAyd
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Canonicalize CRAN links (#26268)
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doc/source/getting_started/comparison/comparison_with_r.rst

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We'll start off with a quick reference guide pairing some common R
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operations using `dplyr
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<http://cran.r-project.org/web/packages/dplyr/index.html>`__ with
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<https://cran.r-project.org/package=dplyr>`__ with
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pandas equivalents.
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doc/source/user_guide/visualization.rst

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@@ -1026,7 +1026,7 @@ unit interval). The point in the plane, where our sample settles to (where the
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forces acting on our sample are at an equilibrium) is where a dot representing
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our sample will be drawn. Depending on which class that sample belongs it will
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be colored differently.
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See the R package `Radviz <https://cran.r-project.org/web/packages/Radviz/>`__
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See the R package `Radviz <https://cran.r-project.org/package=Radviz/>`__
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for more information.
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**Note**: The "Iris" dataset is available `here <https://raw.github.com/pandas-dev/pandas/master/pandas/tests/data/iris.csv>`__.

doc/source/whatsnew/v0.16.0.rst

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^^^^^^^^^^^^^^^^
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Inspired by `dplyr's
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<http://cran.rstudio.com/web/packages/dplyr/vignettes/introduction.html#mutate>`__ ``mutate`` verb, DataFrame has a new
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<https://dplyr.tidyverse.org/articles/dplyr.html#mutating-operations>`__ ``mutate`` verb, DataFrame has a new
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:meth:`~pandas.DataFrame.assign` method.
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The function signature for ``assign`` is simply ``**kwargs``. The keys
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are the column names for the new fields, and the values are either a value

pandas/io/sas/sas.pyx

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# rle_decompress decompresses data using a Run Length Encoding
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# algorithm. It is partially documented here:
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#
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# https://cran.r-project.org/web/packages/sas7bdat/vignettes/sas7bdat.pdf
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# https://cran.r-project.org/package=sas7bdat/vignettes/sas7bdat.pdf
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cdef const uint8_t[:] rle_decompress(int result_length,
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const uint8_t[:] inbuff):
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pandas/io/sas/sas7bdat.py

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https://github.com/BioStatMatt/sas7bdat
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Partial documentation of the file format:
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https://cran.r-project.org/web/packages/sas7bdat/vignettes/sas7bdat.pdf
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https://cran.r-project.org/package=sas7bdat/vignettes/sas7bdat.pdf
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Reference for binary data compression:
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http://collaboration.cmc.ec.gc.ca/science/rpn/biblio/ddj/Website/articles/CUJ/1992/9210/ross/ross.htm

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