Answers for "pandas slice by multiple column and row value"

0

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 columns
Posted by: Guest on November-10-2020
2

pandas df by row index

indices = [133, 22, 19, 203, 14, 1]
df_by_indices = df.iloc[indices, :]
Posted by: Guest on October-22-2020

Code answers related to "pandas slice by multiple column and row value"

Python Answers by Framework

Browse Popular Code Answers by Language