Pandas Datetime: Create a graphical analysis of UFO Sightings year
Pandas Datetime: Exercise-18 with Solution
Write a Pandas program to create a graphical analysis of UFO (unidentified flying object) Sightings year.
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.year
years_data = df.ufo_yr.value_counts()
years_index = years_data.index # x ticks
years_values = years_data.get_values()
plt.figure(figsize=(15,8))
plt.xticks(rotation = 60)
plt.title('UFO Sightings by Year')
plt.xlabel("Year")
plt.ylabel("Number of reports")
years_plot = sns.barplot(x=years_index[:60],y=years_values[:60], palette = "Reds")
Sample Output:
Python Code Editor:
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Next: Write a Pandas program to check the empty values of UFO (unidentified flying object) Dataframe.
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https://w3resource.com/python-exercises/pandas/datetime/pandas-datetime-exercise-18.php
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