Pandas Datetime: Create a graphical analysis of UFO sighted by month

Last update on May 03 2025 12:58:17 (UTC/GMT +8 hours)

21. Graphical Analysis of UFO Sightings by Month

Write a Pandas program to create a graphical analysis of UFO (unidentified flying object) sighted by month.

Sample Solution:

Python Code:

import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
df = pd.read_csv(r'ufo.csv')
df['Date_time'] = df['Date_time'].astype('datetime64[ns]')
df["ufo_yr"] = df.Date_time.dt.month
months_data = df.ufo_yr.value_counts()
months_index = months_data.index  # x ticks
months_values = months_data.get_values()
plt.figure(figsize=(15,8))
plt.xticks(rotation = 60)
plt.title('UFO sighted by Month')
plt.xlabel("Months")
plt.ylabel("Number of sighting")
months_plot = sns.barplot(x=months_index[:60],y=months_values[:60], palette = "Oranges")

Sample Output:

For more Practice: Solve these Related Problems:

Write a Pandas program to group UFO sightings by month and create a pivot table that displays the count per month, then plot the results.
Write a Pandas program to extract the month from the UFO reporting dates and plot a bar chart of sightings per month.
Write a Pandas program to create a line plot that illustrates seasonal trends in UFO sightings using monthly grouping.
Write a Pandas program to generate a heatmap of UFO sighting frequencies by month and compare seasonal variations.

Go to:

Previous: Write a Pandas program to create a plot of distribution of UFO (unidentified flying object) observation time.
Next: Write a Pandas program to create a comparison of the top 10 years in which the UFO was sighted vs the hours of the day.

Python Code Editor:

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