- Hands-On Exploratory Data Analysis with Python
- Suresh Kumar Mukhiya Usman Ahmed
- 44字
- 2021-06-24 16:44:55
Loading the CSV file
We will load the CSV file. Refer to the following code block:
dfs = pd.read_csv('mailbox.csv', names=['subject', 'from', 'date', 'to', 'label', 'thread'])
The preceding code will generate a pandas dataframe with only the required fields stored in the CSV file.
推薦閱讀
- Java高并發(fā)核心編程(卷2):多線程、鎖、JMM、JUC、高并發(fā)設(shè)計模式
- Clojure for Domain:specific Languages
- 營銷數(shù)據(jù)科學(xué):用R和Python進(jìn)行預(yù)測分析的建模技術(shù)
- 網(wǎng)頁設(shè)計與制作教程(HTML+CSS+JavaScript)(第2版)
- Git高手之路
- Blender 3D Incredible Machines
- EPLAN實戰(zhàn)設(shè)計
- Python漫游數(shù)學(xué)王國:高等數(shù)學(xué)、線性代數(shù)、數(shù)理統(tǒng)計及運籌學(xué)
- Web Development with MongoDB and Node(Third Edition)
- 從Java到Web程序設(shè)計教程
- Visual C++開發(fā)入行真功夫
- Unity&VR游戲美術(shù)設(shè)計實戰(zhàn)
- Python從入門到精通(第3版)
- 大學(xué)計算機基礎(chǔ)實驗指導(dǎo)
- Software-Defined Networking with OpenFlow(Second Edition)