write_gct does not handle metadata names correctly

[shntnu]

This is the input CSV. Note the name of the column Metadata_dose_recode

cat /tmp/a.csv
Metadata_Plate_Map_Name,Metadata_broad_sample,Metadata_pert_well,Metadata_mmoles_per_liter,Metadata_dose_recode,Cells_AreaShape_Area
C-7161-01-LM6-001,BRD-A25234499-001-18-3,B13,   10,6,0.590843
C-7161-01-LM6-001,BRD-A25234499-001-18-3,B14,3.3333,5,0.953997
C-7161-01-LM6-001,BRD-A25234499-001-18-3,B15,1.1111,4,1.10022
C-7161-01-LM6-001,BRD-A25234499-001-18-3,B16,0.37037,3,0.616491

Convert

import pandas
import pycytominer
pandas.read_csv("/tmp/a.csv")
pycytominer.write_gct(a, "/tmp/a.gct")

This is the output GCT. Note the name of the column Metadata_ose_recode

$ cat /tmp/a.gct
#1.3
1   4   1   5
id  cp_feature_name SAMPLE_0    SAMPLE_1    SAMPLE_2    SAMPLE_3
Plate_Map_Name  nan C-7161-01-LM6-001   C-7161-01-LM6-001   C-7161-01-LM6-001   C-7161-01-LM6-001
broad_sample    nan BRD-A25234499-001-18-3  BRD-A25234499-001-18-3  BRD-A25234499-001-18-3  BRD-A25234499-001-18-3
pert_well   nan B13 B14 B15 B16
mmoles_per_liter    nan 10.0    3.3333  1.1111  0.37037
ose_recode  nan 6   5   4   3
Cells_AreaShape_Area    Cells_AreaShape_Area    0.590843    0.953997    1.10022 0.616491

[gwaybio]

see #70 - it seems now is the time to make this fix!

[gwaybio]

fixed in #87