Pandas Datetime: Create a heatmap for comparison of the top 10 years in which the UFO was sighted vs each Month
Pandas Datetime: Exercise-24 with Solution
Write a Pandas program to create a heatmap (rectangular data as a color-encoded matrix) for comparison of the top 10 years in which the UFO was sighted vs each Month.
Sample Solution:
Python Code:
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
#Source: https://bit.ly/1l9yjm9
df = pd.read_csv(r'ufo.csv')
df['Date_time'] = df['Date_time'].astype('datetime64[ns]')
most_sightings_years = df['Date_time'].dt.year.value_counts().head(10)
def is_top_years(year):
if year in most_sightings_years.index:
return year
month_vs_year = df.pivot_table(columns=df['Date_time'].dt.month,index=df['Date_time'].dt.year.apply(is_top_years),aggfunc='count',values='city')
month_vs_year.columns = month_vs_year.columns.astype(int)
print("\nHeatmap for comparison of the top 10 years in which the UFO was sighted vs each month:")
plt.figure(figsize=(10,8))
ax = sns.heatmap(month_vs_year, vmin=0, vmax=4)
ax.set_xlabel('Month').set_size(20)
ax.set_ylabel('Year').set_size(20)
Sample Output:
Heatmap for comparison of the top 10 years in which the UFO was sighted vs each month:
Python Code Editor:
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Previous: Write a Pandas program to create a comparison of the top 10 years in which the UFO was sighted vs each Month.
Next: Write a Pandas program to create a Timewheel of Hour Vs Year comparison of the top 10 years in which the UFO was sighted.
What is the difficulty level of this exercise?
Python: Tips of the Day
Find current directory and file's directory:
To get the full path to the directory a Python file is contained in, write this in that file:
import os dir_path = os.path.dirname(os.path.realpath(__file__))
(Note that the incantation above won't work if you've already used os.chdir() to change your current working directory, since the value of the __file__ constant is relative to the current working directory and is not changed by an os.chdir() call.)
To get the current working directory use
import os cwd = os.getcwd()
Documentation references for the modules, constants and functions used above:
- The os and os.path modules.
- The __file__ constant
- os.path.realpath(path) (returns "the canonical path of the specified filename, eliminating any symbolic links encountered in the path")
- os.path.dirname(path) (returns "the directory name of pathname path")
- os.getcwd() (returns "a string representing the current working directory")
- os.chdir(path) ("change the current working directory to path")
Ref: https://bit.ly/3fy0R6m
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