﻿ Pandas Datetime: Create a comparison of the top 10 years in which the UFO was sighted vs the hours of the day - w3resource

# 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['Date_time'] = df['Date_time'].astype('datetime64[ns]')
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:")
``````

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:

Have another way to solve this solution? Contribute your code (and comments) through Disqus.

What is the difficulty level of this exercise?

﻿

## Python: Tips of the Day

Python: Use Enumerate() In for Loops

```>>> students = ('John', 'Mary',  'Mike')
>>> for i, student in enumerate(students):
...     print(f'Iteration:  {i}, Student: {student}')
...
Iteration: 0, Student: John
Iteration: 1, Student: Mary
Iteration: 2, Student: Mike
>>> for i, student in enumerate(students,  35001):
...      print(f'Student Name: {student}, Student ID #: {i}')
...
Student Name: John, Student ID #: 35001
Student Name: Mary, Student ID #: 35002
Student Name: Mike, Student ID #: 35003
```