使用熊猫将CSV保存到带有列表的字典作为值

Question

My CSV file looks something like this:

Version,1,2,3,4,5
Letter,A,B,C,D,E

Version and letter are both the keys I want in the dictionary which I read in using indexcol = 0. However, I want to save these values into a dictionary like this:

{Version: ["1,2,3,4,5"], Letter: ["A,B,C,D,E"]}

How would I do this using pandas? Thanks so much for your help.

Answer 1

Since you have the keys in rows, one simple way is to transpose the csv file and then converting columns to list followed by zip and to dictionary

df = pandas.read_csv("filename.csv").transpose()
dictionary = dict(zip(list(df.column_name1), list(df.column_name2)))

Other efficient way and if you have too many values in rows to enter each column name then you can try:

df = pandas.read_csv("filename.csv").transpose().to_dict()