我要评论在学习数据科学时，想要根据一个列表中包含的不同行业公司的行号，从一个大数据公司列表中提取信息，并创建一个新的数据框。在尝试添加行到现有数据框时遇到了错误。
import pandas as pd
# 创建一个数据框
data = pd.dataframe({
'company_url': ['https://angel.co/billguard', 'https://angel.co/tradesparq', 'https://angel.co/sidewalk', 'https://angel.co/pangia', 'https://angel.co/thinknum'],
'company': ['billguard', 'tradesparq', 'sidewalk', 'pangia', 'thinknum'],
'tag_line': ['the fastest smartest way to track your spendin...', 'the world''s largest social network for global ...', 'hoovers (d&b) for the social era', 'the internet of things platform: big data mana...', 'financial data analysis thinknum is a powerful web platform to value c...'],
'product': ['billguard is a personal finance security app t...', 'tradesparq is alibaba.com meets linkedin. trad...', 'sidewalk helps companies close more sales to s...', 'we collect and manage data from sensors embedd...', 'thinknum is a powerful web platform to value c...'],
'data': ['new york city · financial services · security ...', 'shanghai · b2b · marketplaces · big data · soc...', 'new york city · lead generation · big data · s...', 'san francisco · saas · clean technology · big ...', 'new york city · enterprise software · financia...']
})
# 创建一个包含大数据公司行号的列表
comp_rows = [1, 2, 3]
# 创建一个空数据框来存储过滤后的公司信息
bigdata_comp = pd.dataframe(data=none,columns=['company_url','company','tag_line','product','data'])
# 尝试添加行到现有数据框
for count, item in enumerate(data.iterrows()):
for number in comp_rows:
if int(count) == int(number):
bigdata_comp.append(item)
# 打印错误信息
print(bigdata_comp)
错误:
---------------------------------------------------------------------------
typeerror traceback (most recent call last)
<ipython-input-234-1e4ea9bd9faa> in <module>()
4 for number in comp_rows:
5 if int(count) == int(number):
----> 6 bigdata_comp.append(item)
7
/library/frameworks/python.framework/versions/2.7/lib/python2.7/site-packages/pandas/core/frame.pyc in append(self, other, ignore_index, verify_integrity)
3814 from pandas.tools.merge import concat
3815 if isinstance(other, (list, tuple)):
-> 3816 to_concat = [self] + other
3817 else:
3818 to_concat = [self, other]
typeerror: can only concatenate list (not "tuple") to list
解决方案
方法1：使用 .loc() 方法
可以使用 .loc() 方法来选择特定行，然后将其添加到新的数据框中。
# 使用 .loc() 方法选择特定行 filtered_data = data.loc[comp_rows] # 添加行到新的数据框中 bigdata_comp = pd.concat([bigdata_comp, filtered_data], ignore_index=true) # 打印新的数据框 print(bigdata_comp)
输出：
company_url company tag_line product data
0 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...
1 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...
2 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 ...
方法2：使用 pd.concat() 方法
也可以使用 pd.concat() 方法来连接两个数据框。
# 创建一个包含大数据公司信息的列表
bigdata_list = []
for number in comp_rows:
bigdata_list.append(data.iloc[number])
# 将列表转换为数据框
bigdata_comp = pd.concat(bigdata_list, ignore_index=true)
# 打印新的数据框
print(bigdata_comp)
输出：
company_url company tag_line product data
0 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...
1 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...
2 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 ...
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