Last active
October 5, 2016 21:26
-
-
Save DSLituiev/31063fc862b35a729142d3949e803c73 to your computer and use it in GitHub Desktop.
ggplot error on colouring points
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
dfstr = '''{"FDR":{"0":0.0000001434,"1":0.0974543339,"2":0.5637882089,"3":0.7592318769,"4":0.82376489,"5":0.876232133,"6":0.891150062,"7":0.9234070548,"8":0.9421697501,"9":0.9421697501,"10":0.9534575004,"11":0.9686912495,"12":0.9792339965,"13":0.9800272087,"14":0.9814635178,"15":0.9814635178,"16":0.9822809925,"17":0.9832209543,"18":0.9832209543,"19":0.9832209543,"20":0.0079716299,"21":0.6863477759,"22":0.7846481266,"23":0.8596431336,"24":0.8940558933,"25":0.9071788194,"26":0.9269123036,"27":0.9323909829,"28":0.936505473,"29":0.9477474057,"30":0.9479119432,"31":0.9479119432,"32":0.9479119432,"33":0.9479119432,"34":0.9479179113,"35":0.9577011312,"36":0.9589141116,"37":0.9601000647,"38":0.9614078093,"39":0.9657393252,"40":0.0000000308,"41":0.1179302537,"42":0.6074557222,"43":0.7534315164,"44":0.8290719564,"45":0.8917851883,"46":0.9325332126,"47":0.9495263504,"48":0.9532127733,"49":0.9552555496,"50":0.9594234241,"51":0.9675706204,"52":0.9737916651,"53":0.9767958687,"54":0.9767958687,"55":0.9767958687,"56":0.9767958687,"57":0.9817147714,"58":0.9890245893,"59":0.9904360708}, | |
"FPR":{"0":0.0,"1":0.0044089859,"2":0.0554272517,"3":0.1079151795,"4":0.1604031073,"5":0.2128910351,"6":0.2653789628,"7":0.3178668906,"8":0.3703548184,"9":0.4228427462,"10":0.4753306739,"11":0.5278186017,"12":0.5803065295,"13":0.6327944573,"14":0.6852823851,"15":0.7377703128,"16":0.7902582406,"17":0.8427461684,"18":0.8952340962,"19":0.9477220239,"20":0.0,"21":0.029813143,"22":0.0734830989,"23":0.122821751,"24":0.1721604031,"25":0.2227587655,"26":0.2735670796,"27":0.3247952971,"28":0.3762334663,"29":0.4272517321,"30":0.4795297082,"31":0.5315977325,"32":0.5836657569,"33":0.6359437329,"34":0.6880117573,"35":0.7402897334,"36":0.7923577577,"37":0.8444257821,"38":0.896073903,"39":0.9481419274,"40":0.0,"41":0.0041990342,"42":0.0556372034,"43":0.1081251312,"44":0.160613059,"45":0.2131009868,"46":0.2653789628,"47":0.3178668906,"48":0.3703548184,"49":0.4228427462,"50":0.4753306739,"51":0.5278186017,"52":0.5803065295,"53":0.6327944573,"54":0.6852823851,"55":0.7377703128,"56":0.7902582406,"57":0.8427461684,"58":0.8952340962,"59":0.9477220239}, | |
"TPR":{"0":0.0042194093,"1":0.970464135,"2":1.0,"3":1.0,"4":1.0,"5":1.0,"6":1.0,"7":1.0,"8":1.0,"9":1.0,"10":1.0,"11":1.0,"12":1.0,"13":1.0,"14":1.0,"15":1.0,"16":1.0,"17":1.0,"18":1.0,"19":1.0,"20":0.0042194093,"21":0.4599156118,"22":0.6371308017,"23":0.7004219409,"24":0.7637130802,"25":0.8016877637,"26":0.835443038,"27":0.8607594937,"28":0.8818565401,"29":0.9113924051,"30":0.9156118143,"31":0.9240506329,"32":0.9324894515,"33":0.9367088608,"34":0.9451476793,"35":0.9493670886,"36":0.9578059072,"37":0.9662447257,"38":0.9831223629,"39":0.9915611814,"40":0.0042194093,"41":0.9746835443,"42":0.9957805907,"43":0.9957805907,"44":0.9957805907,"45":0.9957805907,"46":1.0,"47":1.0,"48":1.0,"49":1.0,"50":1.0,"51":1.0,"52":1.0,"53":1.0,"54":1.0,"55":1.0,"56":1.0,"57":1.0,"58":1.0,"59":1.0}, | |
"key":{"0":"A","1":"A","2":"A","3":"A","4":"A","5":"A","6":"A","7":"A","8":"A","9":"A","10":"A","11":"A","12":"A","13":"A","14":"A","15":"A","16":"A","17":"A","18":"A","19":"A","20":"C","21":"C","22":"C","23":"C","24":"C","25":"C","26":"C","27":"C","28":"C","29":"C","30":"C","31":"C","32":"C","33":"C","34":"C","35":"C","36":"C","37":"C","38":"C","39":"C","40":"B","41":"B","42":"B","43":"B","44":"B","45":"B","46":"B","47":"B","48":"B","49":"B","50":"B","51":"B","52":"B","53":"B","54":"B","55":"B","56":"B","57":"B","58":"B","59":"B"}}''' | |
import pandas as pd | |
import numpy as np | |
"read data" | |
data0 = pd.read_json(xstr).sort_values("key") | |
"find points at given threshold" | |
FDR_thr = 0.1 | |
data0["ind"] = np.tile(np.arange(data0.shape[0]//3), 3) | |
data_piv = pd.pivot_table(data0, index="ind", columns="key").swaplevel(0,1, axis=1) | |
data_piv_at_fdr = {} | |
for kk, vv in (data_piv.swaplevel(0,1, axis=1)["FDR"] - FDR_thr).apply(lambda x : x.argmax()).items(): | |
data_piv_at_fdr[kk] = data_piv[kk].loc[vv] | |
# plt.scatter(cumq[kk].loc[vv]["FPR"], cumq[kk].loc[vv]["TPR"], ) | |
data_piv_at_fdr = pd.concat(data_piv_at_fdr,axis=1).T | |
################################################################ | |
"PLOT" | |
"this works as expected:" | |
ggplot(data0, aes(x='FPR', y='TPR', colour="key")) +\ | |
geom_line(size=3) + xlim(-0.05,1.05) + ylim(-0.05,1.05) | |
"this kind of works, but colour is ignored" | |
ggplot(data0, aes(x='FPR', y='TPR')) + \ | |
geom_line(colour="r") | |
"""adding points from another dataframe works | |
(though the point colour is black instead of requested red)""" | |
ggplot(data0, aes(x='FPR', y='TPR')) + \ | |
geom_line() + \ | |
geom_point(data=data_piv_at_fdr, size = 100, shape = "o", colour="r") | |
"adding points from another dataframe, while setting colouring groups in the first breaks" | |
ggplot(data0, aes(x='FPR', y='TPR', colour="key")) + \ | |
geom_line(colour="r") + \ | |
geom_point(data=data_piv_at_fdr, size = 100, shape = "o", colour="r") | |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment