pandas.DataFrame.loc() function with example in python
pandas.DataFrame.loc(): This function used access a group of rows and columns by label(s) or a boolean array.
.loc[] is primarily label based, but may also be used with a boolean array.
Allowed inputs are:
A single label, e.g. 5 or ‘a’, (note that 5 is interpreted as a label of the index, and never as an integer position along the index).
A list or array of labels, e.g. [‘a’, ‘b’, ‘c’].
A slice object with labels, e.g. ‘a’:’f’.
A boolean array of the same length as the axis being sliced, e.g. [True, False, True].
A callable function with one argument (the calling Series, DataFrame or Panel) and that returns valid output for indexing (one of the above)
See more at Selection by Label
Raises:
KeyError:
when any items are not found
import pandas as pd
df = pd.DataFrame([[1, 2], [4, 5], [7, 8]], index=['raju', 'ravi', 'dani'], columns=['exp', 'salary'])
print(df.loc['raju'])
print(df.loc[['raju','ravi']])
Output:
exp 1
salary 2
Name: raju, dtype: int64
exp salary
raju 1 2
ravi 4 5
