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嗨,我正在学习数据科学,并且正在制作一个具有某些属性的大数据公司列表。基于多个关键字对Pandas数据框上的行进行排序
当前我的数据帧数据看起来像这样。
company_url company tag_line product data
0 https://angel.co/billguard BillGuard The fastest smartest way to track your spendin... BillGuard is a personal finance security app t... New York City · Financial Services · Security ...
1 https://angel.co/tradesparq Tradesparq The world's largest social network for global ... Tradesparq is Alibaba.com meets LinkedIn. Trad... Shanghai · B2B · Marketplaces · Big Data · Soc...
2 https://angel.co/sidewalk Sidewalk Hoovers (D&B) for the social era Sidewalk helps companies close more sales to s... New York City · Lead Generation · Big Data · S...
3 https://angel.co/pangia Pangia The Internet of Things Platform: Big data mana... We collect and manage data from sensors embedd... San Francisco · SaaS · Clean Technology · Big ...
4 https://angel.co/thinknum Thinknum Financial Data Analysis Thinknum is a powerful web platform to value c... New York City · Enterprise Software · Financia...
我想用“大数据”等特定关键字对“数据”列进行排序,并用这些行创建一个新的数据框。
我想先找到合适的行,然后把它们放入一个列表中,并根据行列表对数据框,数据进行排序,但是第一部分出现错误。
我的代码:
comp_rows = []
a = ['Data','Analytics','Machine Learning','Deep','Mining']
for count, item in enumerate(data.data):
if any(x in item for x in a):
comp_rows.append(count)
错误:
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
<ipython-input-174-afeee7d3d179> in <module>()
3
4 for count, item in enumerate(data.data):
----> 5 if any(x in item for x in a):
6 comp_rows.append(count)
<ipython-input-174-afeee7d3d179> in <genexpr>((x,))
3
4 for count, item in enumerate(data.data):
----> 5 if any(x in item for x in a):
6 comp_rows.append(count)
TypeError: argument of type 'float' is not iterable
有人能帮助我吗?
谢谢,它解决了! – pythonlearner