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C T 02 Create a csv file with the following data and read the content of the file in a DataFrame. Also, display the
number of rows and columns in the DataFrame.
LOCATION_NAME,Real GDP Growth Rate
Andaman & Nicobar Islands,0.7
Jharkhand,6.57
Delhi,11.34
Manipur,6.24
Nagaland,3.93
Punjab,5.79
Meghalaya,9.54
Assam,8.42
Chandigarh,9.61
Tamil Nadu,9.39
Tripura,8.87
West Bengal,7.06
Goa,10.65
Haryana,8.12
Kerala,7.8
Himachal Pradesh,7.59
Madhya Pradesh,4.73
Bihar,13.13
Arunachal Pradesh,3.65
Gujarat,6.45
Karnataka,6.44
Mizoram,5.75
Orissa,7.18
Uttar Pradesh,6.23
India,6.88
Chhattisgarh,10.81
Jammu & Kashmir,6.78
Uttarakhand,8.8
Puducherry,10.95
Rajasthan,7.36
Sikkim,6.3
Maharashtra,4.97
Andhra Pradesh,6.81
2.6 Retrieving Subset of Data - Indexing and Slicing
Sometimes, we want to have a look at some data in the beginning or towards the end of a DataFrame. For this purpose,
Pandas provides two methods, namely, head() and tail().
Data Handling using Pandas DataFrame 39

