Python 3.x - 使用来自另一个数据框的列名创建数据框答案

【问题标题】：Python 3.x - Create dataframe with column names from another dataframePython 3.x - 使用来自另一个数据框的列名创建数据框
【发布时间】：2017-12-19 09:43:35
【问题描述】：

Dataframe df1 包含一个字段“Column headers”，其中包含列名。我想创建另一个数据框 df2，它只包含来自 df1 的“列标题”列的列标题。

print(df1['Column header'])
>>
0                                              % Female
1                                  % Below poverty line
2                                    % Rural population
3                      Decadal Population Growth (in %)
4     Availability of Drinking Water Source Within P...
5                                 Concrete Roofs (in %)
6                        Houses With Electricity (in %)
7                        Houses With Televisions (in %)
8                           With Computer/Laptop (in %)
9        Houses With Phones (Telephone + Mobile) (in %)
10                        Houses With 2 wheelers (in %)
11                              Houses With cars (in %)
12              Households With Banking Services (in %)
13                                 Literacy Rate (in %)
14                         Literacy Rate (Rural) (in %)
15                         Literacy Rate (Urban) (in %)
16                  Decadal Difference In Literacy Rate
17                 Student: Teacher Ratio - All Schools
18                     Student: Teacher Ratio - Primary
19               Student: Teacher Ratio - Upper Primary
20     Under-five Mortality Rate (Per 1000 live Births)
21           No of Dispensaries per 1,00,000 population
22                No of Doctors per 1,00,000 population
23    Total patients registered for tuberculosis tre...
24                   Sex Ratio (Females Per 1000 Males)
25                                        Agri GSDP (%)
26                                    Industry GSDP (%)
27                                     Service GSDP (%)
28                        Unemployment Rate   (2011-12)
29                   Rural Unemployment Rate  (2011-12)
30                   Urban Unemployment Rate  (2011-12)
31                Per Capita Public Expenditure (in Rs)
32               Per Capita Private Expenditure (in Rs)
33                          Infant Mortality Rate (IMR)
34                             Maternal Mortality Rate 
35          Coverage Of National Highways (Total in km)
36             Coverage Of State Highways (Total in km)
37                Coverage Of Rural Roads (Total in km)
38                Coverage Of Urban Roads (Total in km)
39                       Railway Coverage (Total in km)
40    Tele-Density [Total Connections /  Total Popul...
Name: Column headers, dtype: object

如上所述，我想创建包含 40 列的数据框 df2。此数据框中的行将由不同的函数填充。我尝试按如下方式创建 df2 -

df2 = pd.DataFrame()  #Creating an empty dataframe 
df2.columns = df1['Column header']
>>
ValueError: Length mismatch: Expected axis has 0 elements, new values have 41 elements

是否可以在 Pandas 中创建一个空白数据框，然后指定列名？

【问题讨论】：

标签： python pandas dataframe

【解决方案1】：

试试这个：

df2 = pd.DataFrame(columns=df1['Column header'])

但是您不应该创建空的 DF，因为逐行填充它们非常慢。因此，您应该先收集数据，然后使用预先收集的数据创建 DF。

【讨论】：

正是我想要的。谢谢！

【解决方案2】：

以下是如何使用自定义列创建空数据框：

// Example dataframe
df1 = pd.DataFrame({"Headers": ["Alpha","Beta", "Gama", "Delta"]]}, columns=["Headers"], index=range(4))

print(df1)
//      Headers
//   0  Alpha
//   1  Beta
//   2  Gama
//   3  Delta


print(df1['Headers'].values)
// ['Alpha' 'Beta' 'Gama' 'Delta']

// Make empty dataframe, key here is index=None
df2 = pd.DataFrame({}, columns=df1['Headers'].values, index=None)

print(df2)    
// Empty DataFrame
// Columns: [Alpha, Beta, Gama, Delta]
// Index: []

【讨论】：