slice columns from dataframe
# select specific columns with a list
# select columns foo, bar and dat
df.loc[:, ['foo','bar','dat']]slice columns from dataframe
# select specific columns with a list
# select columns foo, bar and dat
df.loc[:, ['foo','bar','dat']]python - row slice dataframe by number of rows
df.iloc[[1, 5]] # Get rows 1 and 5
df.iloc[1:6] # Get rows 1 to 5 inclusive
df.iloc[[1, 5], df.columns.get_loc('Shop')] # Get only specific column
df.iloc[[1, 5], df.columns.get_indexer(['Shop', 'Category'])] # Get multiple columnspandas df by row index
indices = [133, 22, 19, 203, 14, 1]
df_by_indices = df.iloc[indices, :]Copyright © 2021 Codeinu
Forgot your account's password or having trouble logging into your Account? Don't worry, we'll help you to get back your account. Enter your email address and we'll send you a recovery link to reset your password. If you are experiencing problems resetting your password contact us
