Nick Harding

Phenotype data does not use pandas dtype inference

1

By skipping the `read_csv` function, we lose the detection of nan values, so columns that are numeric are coded as objects. ie ``` import GEOparse geo = GEOparse.get_GEO("GSE112676") geo.phenotype_data["characteristics_ch1.3.age_onset"] ```...

pattern as path could be improved with expand logic

1

Thanks for this package. (This issue possibly related to #356) With the csv driver, the current `dask.dataframe` implementation supports lists and globs for `urlpath`. As I understand- lists are supported...

dtype issue with -R parameter

5

@hardingnj Hi, Nick, Seems I got similar dtype problem with the parameter -R ( --rrate ). My input variation data is vcf.gz format. My code is : xpclr --format vcf...

Don't read FILE in binary mode

1

## Description Hi Jeroen, Have been reading your book and thought I'd give `sample` a try. I found that it failed silently when trying to read plain text via the...