英文:
How to get column names from txt file into pandas data frame?
问题
我有一个下面的txt文件，其中有不同的列名，我想从表中提取所有列名，但不包括数据类型等信息，然后将其存储到pandas数据框中。
英文:
I have a txt file below with different column names, I want to extract all the column names without the data types etc. from the table into the pandas dataframe.
create table ad.TrackData
(
track_id int unsigned auto_increment primary key,
ads_id int null,
ads_name varchar(45) null,
play_time timestamp null,
package_id int null,
package_name varchar(45) null,
company_id int null,
company_name varchar(45) null,
click_time timestamp null,
demographic varchar(300) null,
status tinyint(1) default 0 null
);
I have no idea how I am supposed to do this, it would be very much appreciated if anyone could teach me some ways to perform this.
答案1
得分: 0
with open('file.txt', 'r') as f:
txt = f.read()
lines = txt.split('\n')
columnNames = []
for line in lines:
if line.startswith(' '):
columnNames.append(line.split(' ')[1])
print(columnNames)
英文:
First, you must save that text to file.txt. Then run a python script below:
with open('file.txt', 'r') as f:
txt = f.read()
lines = txt.split('\n')
columnNames = []
for line in lines:
if line.startswith(' '):
columnNames.append(line.split(' ')[1])
print(columnNames)
the output must be :
['track_id', 'ads_id', 'ads_name', 'play_time', 'package_id', 'package_name', 'company_id', 'company_name', 'click_time', 'demographic', 'status']
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