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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")

Sample Output:

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:
Pandas Datetime Plot

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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