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DOC: Improve code style in tutorial #293

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19 changes: 8 additions & 11 deletions docs/getting/tutorial.rst
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Original file line number Diff line number Diff line change
Expand Up @@ -26,12 +26,9 @@ Next, we create a DataFrame with PintArrays as columns.

.. ipython:: python

df = pd.DataFrame(
{
"torque": pd.Series([1.0, 2.0, 2.0, 3.0], dtype="pint[lbf ft]"),
"angular_velocity": pd.Series([1.0, 2.0, 2.0, 3.0], dtype="pint[rpm]"),
}
)
df = pd.DataFrame({
"torque": pd.Series([1, 2, 2, 3], dtype="pint[lbf ft]")
"angular_velocity": pd.Series([1, 2, 2, 3], dtype="pint[rpm]")})
df


Expand Down Expand Up @@ -61,19 +58,19 @@ Each column can be accessed as a Pandas Series

.. ipython:: python

df.power
df["power"]

Which contains a PintArray

.. ipython:: python

df.power.values
df["power"].values

The PintArray contains a Quantity

.. ipython:: python

df.power.values.quantity
df["power"].values.quantity

DataFrame Index
-----------------------
Expand All @@ -93,8 +90,8 @@ Methods that return arrays will be converted to Series.

.. ipython:: python

df.power.pint.units
df.power.pint.to("kW")
df["power"].pint.units
df["power"].pint.to("kW")


That's the basics! More examples are given at :doc:`Reading from csv <../user/reading>`.