I have a PySpark dataframe that looks like this: Values Column {[0.0, 54.04, 48…. Sector A {[0.0, 55.4800000… Sector A If I show the first element of the column ‘Values’ without truncating the data, it looks like this: {[0.0, 54.04, 48.19, 68.59, 61.81, 54.730000000000004, 48.51, 57.03, 59.49, 55.44, 60.56, 52.52, 51.44, 55.06, 55.27, 54.61, 55.89, 56.5, 45.4, 68.63, 63.88, 48.25,
Tag: data-extraction
Returning entries from a data set that contain a specific string in Python
I have a data set called df with the information of the name of the Drugs that has been administered. The column “drug_name” consists of all the various drug names. I would like to extract entries that only contain a specific name of the drugs. I have tried the .str.contain method df_adr= df[df[“drug_name”].str.contains(“epinephrine”)==True] This works but the problem is it
How can I extract multiple .zip files?
I’m trying to extract multiple files from some .zip archives. My code is: However, it only extracts the files inside the first archive. I’m using Python 3.6. What is wrong? Answer I thought this scenario might be a serious candidate … What happens is that for each .zip file, all its members are extracted, but they overwrite the ones extracted