这是密歇根大学 《Introduction to Data Science in Python》的Coursera 第四周(最后一周)的作业,要求使用pandas包实现真实世界的数据清洗,以验证一个猜测:大学城的房价并没有收到经济下滑的影响,使用到了独立样本t测验。 importpandasaspdimportnumpyasnpfromscipy.statsimportttest_ind Assignment 4 - Hypothesis Testi...
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Assignment 4 - Hypothesis TestingThis assignment requires more individual learning than previous assignments - you are encouraged to check out the pandas documentation to find functions or methods y…
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1fromlxmlimportobjectify2importpandas as pd34xml = objectify.parse(open('XMLData2.xml'))5root =xml.getroot()6df = pd.DataFrame(columns=('Number','String','Boolean'))78foriinrange(0,4):9obj =root.getchildren()[i].getchildren()10row = dict(zip(['Number','String','Boolean'],11[...
>>>Signature: stats.ttest_ind(a, b, axis=0, equal_var=True, nan_policy='propagate') >>>Docstring: Calculates the T-test for the means of *two independent* samples of scores. stats.ttest_ind(early['assignment1_grade'], late['assignment1_grade']) >>>Ttest_indResult(statistic=...
Python for Data Analysis & Data Science 最后更新 10/2024 MP4 视频:h264、1280×720 音频:AAC,44.1 KHz,2 Ch 语言:英语 时长: 13h 50m 大小: 4.46 GB 数据分析的 Python 实践课程 – 初级到高级 你将学 到什么 使用Python Pandas库 进行数据探索和操作 数据帧
4 宽转长函数 Python实现 Python中两种方法: 1 pandas库中的melt()函数; 2 dfply库中的gather()函数; 代码语言:javascript 复制 ###构造数据集wide_data=pd.DataFrame({'Player':['Player1','Player2','Player3'],'name':['SuLie','LuBan','ZhenJI'],'sex':['male','male','female'],'education...