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Pandas slicing

Code examples

2
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pandas df by row index 

indices = [133, 22, 19, 203, 14, 1]
df_by_indices = df.iloc[indices, :]
2
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slicing in pandas 

# iloc[row slicing, column slicing]
surveys_df.iloc[0:3, 1:4]
2
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get column pandas 

column = df["column_name"]
1
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slicing in pandas 

# Select rows 0, 1, 2 (row 3 is not selected)
surveys_df[0:3]
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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  3
0
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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

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