| From_To | FlightNumber | RecentDelays | Airline | |
| 0 | NewDelhi_Chennai | 10045.0 | [23, 47] | Spicejet |
| 1 | Mumbai_NewDelhi | NaN | [] | Indigo |
| 2 | Jaipur_Jammu | 10065.0 | [24, 43, 87] | Spicejet |
| 3 | Chennai_Lucknow | NaN | [13] | Indian Airlines |
| 4 | Mumnbai_Chennai | 10085.0 | [67, 32] | Spicejet |
(i) #To display the maximum flight number
(ii) #To print the number of flights airline wise
(iii) #to drop the nan values from the dataframe
(iv) To fill nan with blank values
(v) To print the maximum values of recent delays
(vi) To print the median of all the numeric values.
(vii) To print the sum of the recentdelays
(viii) To count the flight numbers.
(ix) To print the airline wise the sum of the recentdelays along with From_to as column
(x) To print the airline wise the sum of the recentdelays along with From_to as column. Also fill NaN values as blank.