Pandas DataFrame.loc[] Function
Minahil Noor
Jan 30, 2023
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Syntax of
pandas.DataFrame.loc[]
: -
Example Codes:
DataFrame.loc[]
Method to Locate a Specific Row -
Example Codes:
DataFrame.loc[]
Method to Locate Multiple Rows -
Example Codes:
DataFrame.loc[]
Method to Locate the Data of a Specific Row and Column
Python Pandas DataFrame.loc[]
function locates the values of the DataFrame according to the passed inputs.
Syntax of pandas.DataFrame.loc[]
:
DataFrame.loc[]
Parameters
This function accepts no parameters. However, it has several input methods. You can read it here.
Return
It returns the required value or values.
Example Codes: DataFrame.loc[]
Method to Locate a Specific Row
import pandas as pd
dataframe=pd.DataFrame({'Attendance': {0: 60, 1: 100, 2: 80,3: 78,4: 95},
'Name': {0: 'Olivia', 1: 'John', 2: 'Laura',3: 'Ben',4: 'Kevin'},
'Obtained Marks': {0: 90, 1: 75, 2: 82, 3: 64, 4: 45}})
print("The Original Data frame is: \n")
print(dataframe)
dataframe1 = dataframe.loc[0]
print("The Row Data is: \n")
print(dataframe1)
Output:
The Original Data frame is:
Attendance Name Obtained Marks
0 60 Olivia 90
1 100 John 75
2 80 Laura 82
3 78 Ben 64
4 95 Kevin 45
The Row Data is:
Attendance 60
Name Olivia
Obtained Marks 90
Name: 0, dtype: object
The function has returned the row data of row 0
.
Example Codes: DataFrame.loc[]
Method to Locate Multiple Rows
import pandas as pd
dataframe=pd.DataFrame({'Attendance': {0: 60, 1: 100, 2: 80,3: 78,4: 95},
'Name': {0: 'Olivia', 1: 'John', 2: 'Laura',3: 'Ben',4: 'Kevin'},
'Obtained Marks': {0: 90, 1: 75, 2: 82, 3: 64, 4: 45}})
print("The Original Data frame is: \n")
print(dataframe)
dataframe1 = dataframe.loc[[0, 1, 2]]
print("The Rows are: \n")
print(dataframe1)
Output:
The Original Data frame is:
Attendance Name Obtained Marks
0 60 Olivia 90
1 100 John 75
2 80 Laura 82
3 78 Ben 64
4 95 Kevin 45
The Rows are:
Attendance Name Obtained Marks
0 60 Olivia 90
1 100 John 75
2 80 Laura 82
Now it has returned the multiple rows of the DataFrame.
Example Codes: DataFrame.loc[]
Method to Locate the Data of a Specific Row and Column
import pandas as pd
dataframe=pd.DataFrame({'Attendance': {0: 60, 1: 100, 2: 80,3: 78,4: 95},
'Name': {0: 'Olivia', 1: 'John', 2: 'Laura',3: 'Ben',4: 'Kevin'},
'Obtained Marks': {0: 90, 1: 75, 2: 82, 3: 64, 4: 45}})
print("The Original Data frame is: \n")
print(dataframe)
dataframe1 = dataframe.loc[0, 'Attendance']
print("The Value is: \n")
print(dataframe1)
Output:
The Original Data frame is:
Attendance Name Obtained Marks
0 60 Olivia 90
1 100 John 75
2 80 Laura 82
3 78 Ben 64
4 95 Kevin 45
The Value is:
60
The function has returned the value of Attendance
at the index 0
.