import pandas as pd

# 創(chuàng)建一個數(shù)據(jù)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...']
})

# 創(chuàng)建一個包含大數(shù)據(jù)公司行號的列表
comp_rows = [1, 2, 3]

# 創(chuàng)建一個空數(shù)據(jù)框來存儲過濾后的公司信息
bigdata_comp = pd.DataFrame(data=None,columns=['company_url','company','tag_line','product','data'])

# 嘗試添加行到現(xiàn)有數(shù)據(jù)框
for count, item in enumerate(data.iterrows()):
    for number in comp_rows:
        if int(count) == int(number):
            bigdata_comp.append(item)

# 打印錯誤信息
print(bigdata_comp)

---------------------------------------------------------------------------
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

# 使用 .loc() 方法選擇特定行
filtered_data = data.loc[comp_rows]

# 添加行到新的數(shù)據(jù)框中
bigdata_comp = pd.concat([bigdata_comp, filtered_data], ignore_index=True)

# 打印新的數(shù)據(jù)框
print(bigdata_comp)

# 創(chuàng)建一個包含大數(shù)據(jù)公司信息的列表
bigdata_list = []
for number in comp_rows:
    bigdata_list.append(data.iloc[number])

# 將列表轉換為數(shù)據(jù)框
bigdata_comp = pd.concat(bigdata_list, ignore_index=True)

# 打印新的數(shù)據(jù)框
print(bigdata_comp)