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. 2021 Feb 9;20(4):1902–1910. doi: 10.1021/acs.jproteome.0c00919

Figure 2.

Figure 2

Getting data from the cptac API. (A) The data API makes accessing CPTAC data simple and returns data in a native pandas DataFrame. (B) Merging different data types is facilitated by a suite of join functions in the API. (C) Joined mutation and proteomics data from panel B are shown with a boxplot from the seaborn Python graphing module. The example is drawn from use case 2 in the cptac documentation (https://paynelab.github.io/cptac/usecase02_clinical_attributes.html)