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Python Pandas - Get integer location for requested label
To get the integer location for a requested label in Pandas, use the index.get_loc() method. This method returns the zero-based position of a label within the index.
Syntax
index.get_loc(key)
Parameters:
- key − The label for which to find the integer location
Basic Example
Let's create a Pandas index and find integer locations for specific labels ?
import pandas as pd
# Create Pandas index object
index = pd.Index(list('pqrstuvwxyz'))
# Display the Pandas index
print("Pandas Index...")
print(index)
# Get integer location from the given index
print("\nInteger location of 'w':", index.get_loc('w'))
print("Integer location of 'z':", index.get_loc('z'))
print("Integer location of 'p':", index.get_loc('p'))
Pandas Index... Index(['p', 'q', 'r', 's', 't', 'u', 'v', 'w', 'x', 'y', 'z'], dtype='object') Integer location of 'w': 7 Integer location of 'z': 10 Integer location of 'p': 0
Using with DataFrame Index
The get_loc() method is commonly used with DataFrame row and column indexes ?
import pandas as pd
# Create a DataFrame with custom index
df = pd.DataFrame({
'A': [10, 20, 30],
'B': [40, 50, 60],
'C': [70, 80, 90]
}, index=['row1', 'row2', 'row3'])
print("DataFrame:")
print(df)
# Get integer location of row labels
print("\nInteger location of 'row2':", df.index.get_loc('row2'))
# Get integer location of column labels
print("Integer location of column 'B':", df.columns.get_loc('B'))
DataFrame:
A B C
row1 10 40 70
row2 20 50 80
row3 30 60 90
Integer location of 'row2': 1
Integer location of column 'B': 1
Handling Non-Existent Labels
When a label doesn't exist in the index, get_loc() raises a KeyError ?
import pandas as pd
index = pd.Index(['a', 'b', 'c', 'd'])
try:
location = index.get_loc('x') # 'x' doesn't exist
print("Location:", location)
except KeyError as e:
print("KeyError:", e)
# Check if label exists before getting location
if 'b' in index:
print("Location of 'b':", index.get_loc('b'))
KeyError: 'x' Location of 'b': 1
Conclusion
The get_loc() method provides an efficient way to find the integer position of labels in Pandas indexes. Always handle potential KeyError exceptions when the label might not exist in the index.
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