Pandas Datetime: Create a graphical analysis of UFO sighted by month
Pandas Datetime: Exercise-21 with Solution
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:
Python Code Editor:
Have another way to solve this solution? Contribute your code (and comments) through Disqus.
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.
What is the difficulty level of this exercise?
It will be nice if you may share this link in any developer community or anywhere else, from where other developers may find this content. Thanks.
https://w3resource.com/python-exercises/pandas/datetime/pandas-datetime-exercise-21.php
- Weekly Trends and Language Statistics
- Weekly Trends and Language Statistics