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DOC:Remove DataFrame.append from the 10min intro #27520

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Aug 2, 2019
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DOC:Remove DataFrame.append from the 10min intro #27520

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DOC:Remove DataFrame.append from the 10min intro
sameshl Jul 22, 2019
1da9595
add note on usage of append in 10min guide
sameshl Jul 24, 2019
5d21953
fixed wrong indentation of note directive
sameshl Jul 24, 2019
a7302f1
moved the note directive from object creation section to end of conca…
sameshl Jul 24, 2019
962aae2
made the note more consise
sameshl Jul 28, 2019
9bfec58
remove trailing white spaces
sameshl Jul 28, 2019
27455cb
Minor style changes
sameshl Jul 31, 2019
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22 changes: 7 additions & 15 deletions doc/source/getting_started/10min.rst
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Expand Up @@ -468,6 +468,13 @@ Concatenating pandas objects together with :func:`concat`:

pd.concat(pieces)

.. note::
Adding a column to a DataFrame is relatively fast. Adding a row, however,
requires a full copy of the data and a construction of a new Index, which
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use double-backticks around DataFrame. Also let's make this shorter / simpler.

first part do something like

Adding a column to a DataFrame is relatively fast, However, adding a row requires a copy, and may be expensive.

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@jreback Done. Let me know if any more changes are required.

may be expensive. Rather than iteratively building a DataFrame by
appending records, we recommend passing the pre-built list of records
to the DataFrame constructor. See :ref:`Appending to dataframe <merging.concatenation>` for more.

Join
~~~~

Expand All @@ -491,21 +498,6 @@ Another example that can be given is:
right
pd.merge(left, right, on='key')


Append
~~~~~~

Append rows to a dataframe. See the :ref:`Appending <merging.concatenation>`
section.

.. ipython:: python

df = pd.DataFrame(np.random.randn(8, 4), columns=['A', 'B', 'C', 'D'])
df
s = df.iloc[3]
df.append(s, ignore_index=True)


Grouping
--------

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