August 2017
Beginner to intermediate
334 pages
8h 22m
English
Content preview from Matplotlib 2.x By Example
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Survival data analysis on cancer
Since we've spent a significant amount of time discussing death rate, let us conclude this chapter with one final analysis of two cancer datasets. We have obtained the de-identified clinical dataset of breast cancer and brain tumor from http://www.cbioportal.org/; our goal is to see what the overall survival outcome looks like, and whether the two cancers are having statistically different survival outcomes. The datasets are being explored only for research purposes:
# The clinical dataset are in tsv format
# We can use the .read_csv() method and add an argument sep='\t'# to construct the dataframe
gbm_df = pd.read_csv('https://github.com/PacktPublishing/Matplotlib-2.x-By-Example/blob/master/gbm_tcga_clinical_data.tsv',sep='\t') ...Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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