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DOC: Fix PEP-8 issues in gotchas.rst #23909

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18 changes: 7 additions & 11 deletions doc/source/gotchas.rst
Original file line number Diff line number Diff line change
Expand Up @@ -9,14 +9,11 @@ Frequently Asked Questions (FAQ)
:suppress:

import numpy as np
import pandas as pd

np.random.seed(123456)
np.set_printoptions(precision=4, suppress=True)
import pandas as pd
pd.options.display.max_rows = 15
import matplotlib
# matplotlib.style.use('default')
import matplotlib.pyplot as plt
plt.close('all')

.. _df-memory-usage:

Expand All @@ -36,8 +33,7 @@ when calling :meth:`~DataFrame.info`:
dtypes = ['int64', 'float64', 'datetime64[ns]', 'timedelta64[ns]',
'complex128', 'object', 'bool']
n = 5000
data = dict([(t, np.random.randint(100, size=n).astype(t))
for t in dtypes])
data = {t: np.random.randint(100, size=n).astype(t) for t in dtypes}
df = pd.DataFrame(data)
df['categorical'] = df['object'].astype('category')

Expand Down Expand Up @@ -98,8 +94,8 @@ of the following code should be:

.. code-block:: python

>>> if pd.Series([False, True, False]): # noqa: E999
...
>>> if pd.Series([False, True, False]):
... pass

Should it be ``True`` because it's not zero-length, or ``False`` because there
are ``False`` values? It is unclear, so instead, pandas raises a ``ValueError``:
Expand Down Expand Up @@ -329,8 +325,8 @@ constructors using something similar to the following:

.. ipython:: python

x = np.array(list(range(10)), '>i4') # big endian
newx = x.byteswap().newbyteorder() # force native byteorder
x = np.array(list(range(10)), '>i4') # big endian
newx = x.byteswap().newbyteorder() # force native byteorder
s = pd.Series(newx)

See `the NumPy documentation on byte order
Expand Down