Select DataFrame rows between two index values in Python Pandas

We can slice a Pandas DataFrame to select rows between two index values. Let's take an example and see how it's done.

Steps

• Create a two-dimensional, size-mutable, potentially heterogeneous tabular data, df.
• Print the input DataFrame, df.
• Initialize a variable for lower limit of the index.
• Initialize another variable for upper limit of the index.
• Use df[index_lower_limit: index_upper_limit] to print the DataFrame in range index.

Example

import pandas as pd

df = pd.DataFrame(
   {
      "x": [5, 2, 7, 0],
      "y": [4, 7, 5, 1],
      "z": [9, 3, 5, 1]
   }
)
print "Input DataFrame is:\n", df

index_lower_limit = 1
index_upper_limit = 3

print("DataFrame between two index values:\n",
df[index_lower_limit: index_upper_limit])

Output

Input DataFrame is:
  x y z
0 5 4 9
1 2 7 3
2 7 5 5
3 0 1 1

DataFrame between two index values:
  x y z
1 2 7 3
2 7 5 5