本文介绍了从字符串创建Pandas DataFrame的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!
问题描述
为了测试某些功能,我想从字符串创建一个DataFrame.假设我的测试数据如下:
In order to test some functionality I would like to create a DataFrame from a string. Let's say my test data looks like:
TESTDATA="""col1;col2;col3 1;4.4;99 2;4.5;200 3;4.7;65 4;3.2;140 """将数据读入熊猫DataFrame的最简单方法是什么?
What is the simplest way to read that data into a Pandas DataFrame?
推荐答案一种简单的方法是使用 StringIO.StringIO(python2)或 io.StringIO(python3)并将其传递给 pandas.read_csv 函数.例如:
A simple way to do this is to use StringIO.StringIO (python2) or io.StringIO (python3) and pass that to the pandas.read_csv function. E.g:
import sys if sys.version_info[0] < 3: from StringIO import StringIO else: from io import StringIO import pandas as pd TESTDATA = StringIO("""col1;col2;col3 1;4.4;99 2;4.5;200 3;4.7;65 4;3.2;140 """) df = pd.read_csv(TESTDATA, sep=";")更多推荐
从字符串创建Pandas DataFrame
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