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Hi Lin,<br />
<br />
Since you mentioned Anaconda distribution, you should already have pandas package installed - which is all you need to deal with csv, excel, and many other data formats.<br />
<br />
Using pandas is extremely easy. Here is an example of how to read in one of the classic datasets, titanic passenger data, directly from an online resource (note: this csv file is accessible as of 1 March 2018, note that some time in future this file might not be accessible any more, as I have grabbed it from a random git repository using a quick google search):<br />
<br />

<pre><code id="code-20-42485562-1">#import pandas
import pandas as pd 

# read any csv, including from online sources, into variable df (of type DataFrame)
df = pd.read_csv('https://raw.githubusercontent.com/pcsanwald/kaggle-titanic/master/train.csv')

# display first 5 rows of your data
df.head()</code></pre>
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Hi Lin,

Since you mentioned Anaconda distribution, you should already have pandas package installed - which is all you need to deal with csv, excel, and many other data formats.

Using pandas is extremely easy. Here is an example of how to read in one of the classic datasets, titanic passenger data, directly from an online resource (note: this csv file is accessible as of 1 March 2018, note that some time in future this file might not be accessible any more, as I have grabbed it from a random git repository using a quick google search):



#import pandas
import pandas as pd 

# read any csv, including from online sources, into variable df (of type DataFrame)
df = pd.read_csv('https://raw.githubusercontent.com/pcsanwald/kaggle-titanic/master/train.csv')

# display first 5 rows of your data
df.head()

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<div class="content wysiwyg-content">
Hello, I am a newbie in Python, and I am wondering how to import a dataset(csv file) to my Anaconda. Thanks in advance~
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</div>


Hello, I am a newbie in Python, and I am wondering how to import a dataset(csv file) to my Anaconda. Thanks in advance~

anaconda import csv file

Python is a widely used general-purpose, high-level programming language. Its design philosophy emphasizes code readability, and its syntax allows programmers to express concepts in fewer lines of code than would be possible in other languages. Python supports multiple programming paradigms, including object-oriented, imperative and functional programming or procedural styles. It features a dynamic type system and automatic memory management and has a large and comprehensive set of standard libraries, including NumPy, SciPy, Django, PyQuery, and PyLibrary.