使用Pandas为来自许多URL的多个CSV文件创建一个数据框

Question

I'd like to create 1 data frame/structure using Pandas from multiple CSV files from URL's, keeping the initial header line.

With a single URL everything works as expected:

df = pd.read_csv('http://www.URL1.csv')

I have attempted the following with multiple URL's:

df = pd.read_csv('http://www.URL1.csv', 'http://www.URL2.csv', ...)

However, when attempting to print for testing, the result is spaced out over thousands of lines and is far from the standard layout. Since I am new to Pandas , it is clear I am doing something wrong.

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I'd expect the layout to be as followed:

Header1 Header2 Header3 ...
DATA    DATA    DATA    ...

Answer 1

I think you need list comprehension with list of urls where output is list of DataFrames . Then use concat for join together:

urls = ['http://www.URL1.csv', 'http://www.URL2.csv']
dfs = [pd.read_csv(url) for url in urls]

df = pd.concat(dfs, ignore_index=True)