make new dataframe from slice
# You need copy with boolean indexing, new DataFrame constructor is not necessary:
d2 = d1[d1.a > 1].copy()make new dataframe from slice
# You need copy with boolean indexing, new DataFrame constructor is not necessary:
d2 = d1[d1.a > 1].copy()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 columnsslicing in pandas
# iloc[row slicing, column slicing]
surveys_df.iloc[0:3, 1:4]slicing in pandas
# Select rows 0, 1, 2 (row 3 is not selected)
surveys_df[0:3]pandas df by row index
indices = [133, 22, 19, 203, 14, 1]
df_by_indices = df.iloc[indices, :]add an index column in range dataframe
df = df.loc[df.index.repeat(df['a'])]
df['c'] = df.groupby(level=0).cumcount() + 1
df = df.reset_index(drop=True)
print (df)
a b c
0 1 x 1
1 2 y 1
2 2 y 2
3 3 z 1
4 3 z 2
5 3 z 3Copyright © 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
