How to delete column if entire column values are "nan" - Printable Version +- Python Forum (https://python-forum.io) +-- Forum: Python Coding (https://python-forum.io/forum-7.html) +--- Forum: Data Science (https://python-forum.io/forum-44.html) +--- Thread: How to delete column if entire column values are "nan" (/thread-17428.html) |
How to delete column if entire column values are "nan" - Sri - Apr-10-2019 Hi, I have read csv file in dataframe, and I want to delete column if entire column values are equal to "nan" data.csv: Name Rank subname prevname USA Ca 12 23 nan USA WD 25 78 nan RSA 45 nan nannot always the entire 3rd row has "nan" values. I use the below code: import pandas as pd df=pd.read_csv(r'data.csv') df.dropna(axis=1, how='all') RE: How to delete column if entire column values are "nan" - scidam - Apr-10-2019 There are at least several ways to do what you want: # 1 df.drop('prevname', axis=1, inplace=True) # 2 df = df.iloc[:,:-1] # we assume that prevname is a last column # 3 df = df[['Name', 'Rank', 'subname']] RE: How to delete column if entire column values are "nan" - Sri - Apr-11-2019 we do not know which column has nan values beforehand, and column names are not the same always. RE: How to delete column if entire column values are "nan" - scidam - Apr-11-2019 (Apr-11-2019, 12:28 PM)Sri Wrote: we do not know which column has nan values beforehand, and column names are not the same always. In this case, using .dropna is a good choice. You need to pass inplace=True : df.dropna(axis=1, how='all', inplace=True) .
RE: How to delete column if entire column values are "nan" - Sri - Apr-13-2019 Thanks a lot! |