<pre><code>def answer_eight():
templist = list()
for county, region, p15, p14, ste, cty in zip(census_df.CTYNAME,
census_df.REGION,
census_df.POPESTIMATE2015,
census_df.POPESTIMATE2014,
census_df.STNAME,
census_df.CTYNAME):
# print(county)
if region == 1 or region == 2:
if county.startswith('Washington'):
if p15 > p14:
templist.<a href="https://www.cnpython.com/list/append" class="inner-link">append</a>((ste, cty))
labels = ['STNAME', 'CTYNAME']
df = pd.DataFrame.from_records(templist, columns=labels)
return df
STNAME CTYNAME
0 Iowa Washington County
1 Minnesota Washington County
2 Pennsylvania Washington County
3 Rhode Island Washington County
4 Wisconsin Washington County
</code></pre>
<p>所有这些CTYNAME在最初的人口普查中都有不同的索引。我怎样才能把他们转移到新的国防部,这样答案看起来像:</p>
^{pr2}$