Pandas Datetime: Create a comparison of the top 10 years in which the UFO was sighted vs the hours of the day
Pandas Datetime: Exercise-22 with Solution
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.
Sample Solution:
Python Code:
import pandas as pd
#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
hour_v_year = df.pivot_table(columns=df['Date_time'].dt.hour,index=df['Date_time'].dt.year.apply(is_top_years),aggfunc='count',values='city')
hour_v_year.columns = hour_v_year.columns.astype(int)
hour_v_year.columns = hour_v_year.columns.astype(str) + ":00"
hour_v_year.index = hour_v_year.index.astype(int)
print("\nComparison of the top 10 years in which the UFO was sighted vs the hours of the day:")
print(hour_v_year.head(10))
Sample Output:
Comparison of the top 10 years in which the UFO was sighted vs the hours of the day: 0:00 1:00 2:00 4:00 ... 20:00 21:00 22:00 23:00 Date_time ... 1993 1.0 1.0 1.0 NaN ... 2.0 NaN NaN 4.0 1994 NaN NaN NaN NaN ... NaN 4.0 2.0 1.0 1995 NaN NaN 1.0 1.0 ... 2.0 1.0 1.0 3.0 1996 NaN 1.0 NaN NaN ... 1.0 NaN 2.0 1.0 1997 NaN 1.0 NaN 1.0 ... NaN 4.0 1.0 2.0 1998 2.0 1.0 NaN NaN ... 2.0 2.0 2.0 NaN 1999 2.0 NaN 1.0 NaN ... NaN 2.0 1.0 2.0 2000 NaN NaN 1.0 NaN ... 4.0 2.0 2.0 1.0 2001 3.0 1.0 NaN 1.0 ... 1.0 5.0 NaN NaN 2002 NaN 1.0 NaN NaN ... 2.0 NaN NaN 3.0 [10 rows x 20 columns]
Python Code Editor:
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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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