<pre><code>result = []
for sub_lst in words:
result.append([])
temp = ""
for ele in sub_lst:
if not temp and not "!" in ele:
result[-1].append(ele)
elif temp and not "!" in ele:
result[-1].append(temp)
result[-1].append(ele)
temp = ""
else:
temp += "," + ele if temp else ele
if temp:
result[-1].append(temp)
[['this', 'that!', 'riff', 'raff'], ['humpty', 'dumpty!,professor!,grumpy!'], ['hip', 'hop!,flip!', 'flop']]
</code></pre>
<p>如果您希望所有带<code>!</code>的单词都连接起来,包括由不包含<code>!</code>的单词分隔的单词,即<code>['humpty', 'dumpty!', 'professor!', 'grumpy!',"foo","bar!"]</code>将变成
<code>['humpty', 'foo', 'dumpty!,professor!,grumpy!,bar!']</code>:</p>
^{pr2}$
<p>一些计时显示@vikramls效率最高,itertools解决方案效率最低</p>
<pre><code>In [31]: %%timeit
....: result = []
....: for sub_lst in words:
....: result.append([])
....: temp = ""
....: for ele in sub_lst:
....: if not temp and not "!" in ele:
....: result[-1].append(ele)
....: elif temp and not "!" in ele:
....: result[-1].append(temp)
....: result[-1].append(ele)
....: temp = ""
....: else:
....: temp += "," + ele if temp else ele
....: if temp:
....: result[-1].append(temp)
....:
100000 loops, best of 3: 16 µs per loop
In [32]: %%timeit
output = []
for wl in words:
out_wl = []
bang_wl = []
for w in wl:
if '!' in w:
bang_wl.append(w)
else:
if bang_wl:
out_wl.append(','.join(bang_wl))
bang_wl = []
out_wl.append(w)
if bang_wl:
out_wl.append(','.join(bang_wl))
output.append(out_wl)
....:
100000 loops, best of 3: 15.2 µs per loop
In [33]: %%timeit
out = []
>>> for lst in words:
d = []
for k, g in groupby(lst, lambda x: '!' in x):
if k:
d.append(', '.join(g))
else:
d.extend(g)
out.append(d)
....:
10000 loops, best of 3: 48.1 µs per loop
</code></pre>
<p>如果您只希望单词以<code>!</code>结尾:</p>
<pre><code>In [34]: %%timeit
result = []
for sub_lst in words:
result.append([])
temp = ""
for ele in sub_lst:
if not temp and not ele[-1] == "!":
result[-1].append(ele)
elif temp and not ele[-1] == "!":
result[-1].append(temp)
result[-1].append(ele)
temp = ""
else:
temp += "," + ele if temp else ele
if temp:
result[-1].append(temp)
....:
100000 loops, best of 3: 17 µs per loop
</code></pre>