Pandas Datetime: Create a plot to present the number of unidentified flying object (UFO) reports per year
Pandas Datetime: Exercise-7 with Solution
Write a Pandas program to create a plot to present the number of unidentified flying object (UFO) reports per year.
Sample Solution :
Python Code :
import pandas as pd df = pd.read_csv(r'ufo.csv') df['Date_time'] = df['Date_time'].astype('datetime64[ns]') print("Original Dataframe:") print(df.head()) print("\nPlot to present the number unidentified flying objects (ufo) found year wise:") df["Year"] = df.Date_time.dt.year df.Year.value_counts().sort_index().plot(x="Year")
Original Dataframe: Date_time city ... latitude longitude 0 1910-06-01 15:00:00 wills point ... 32.709167 -96.008056 1 1920-06-11 21:00:00 cicero ... 40.123889 -86.013333 2 1929-07-05 14:00:00 buchanan (or burns) ... 43.642500 -118.627500 3 1931-06-01 13:00:00 abilene ... 38.917222 -97.213611 4 1939-06-01 20:00:00 waterloo ... 34.918056 -88.064167 [5 rows x 11 columns] Plot to present the number unidentified flying objects (ufo) found year wise:
Python Code Editor:
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Previous: Write a Pandas program to get all the sighting years of the unidentified flying object (ufo) and create the year as column.
Next: Write a Pandas program to extract year, month, day, hour, minute, second and weekday from unidentified flying object (UFO) reporting date.
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