Let’s see how to display all the Sundays of a given year using Pandas. We will be using the date_range()
function of the Pandas
module.
import pandas as pd
year = "2020"
start = year + "-01-01"
periods = 52
freq = "W-SUN"
sundays = pd.date_range(start = start,
periods = periods,
freq = freq)
print (sundays)
|
Output :
DatetimeIndex([‘2020-01-05’, ‘2020-01-12’, ‘2020-01-19’, ‘2020-01-26’,
‘2020-02-02’, ‘2020-02-09’, ‘2020-02-16’, ‘2020-02-23’,
‘2020-03-01’, ‘2020-03-08’, ‘2020-03-15’, ‘2020-03-22’,
‘2020-03-29’, ‘2020-04-05’, ‘2020-04-12’, ‘2020-04-19’,
‘2020-04-26’, ‘2020-05-03’, ‘2020-05-10’, ‘2020-05-17’,
‘2020-05-24’, ‘2020-05-31’, ‘2020-06-07’, ‘2020-06-14’,
‘2020-06-21’, ‘2020-06-28’, ‘2020-07-05’, ‘2020-07-12’,
‘2020-07-19’, ‘2020-07-26’, ‘2020-08-02’, ‘2020-08-09’,
‘2020-08-16’, ‘2020-08-23’, ‘2020-08-30’, ‘2020-09-06’,
‘2020-09-13’, ‘2020-09-20’, ‘2020-09-27’, ‘2020-10-04’,
‘2020-10-11’, ‘2020-10-18’, ‘2020-10-25’, ‘2020-11-01’,
‘2020-11-08’, ‘2020-11-15’, ‘2020-11-22’, ‘2020-11-29’,
‘2020-12-06’, ‘2020-12-13’, ‘2020-12-20’, ‘2020-12-27′],
dtype=’datetime64[ns]’, freq=’W-SUN’)
If we want to fetch any other day instead of Sunday, we can tweak the above program by changing the parameter freq
to the desired day.
import pandas as pd
year = "2020"
day = "MON"
start = year + "-01-01"
periods = 52
freq = "W-" + day
days = pd.date_range(start = start,
periods = periods,
freq = freq)
print (days)
|
Output :
DatetimeIndex([‘2020-01-06’, ‘2020-01-13’, ‘2020-01-20’, ‘2020-01-27’,
‘2020-02-03’, ‘2020-02-10’, ‘2020-02-17’, ‘2020-02-24’,
‘2020-03-02’, ‘2020-03-09’, ‘2020-03-16’, ‘2020-03-23’,
‘2020-03-30’, ‘2020-04-06’, ‘2020-04-13’, ‘2020-04-20’,
‘2020-04-27’, ‘2020-05-04’, ‘2020-05-11’, ‘2020-05-18’,
‘2020-05-25’, ‘2020-06-01’, ‘2020-06-08’, ‘2020-06-15’,
‘2020-06-22’, ‘2020-06-29’, ‘2020-07-06’, ‘2020-07-13’,
‘2020-07-20’, ‘2020-07-27’, ‘2020-08-03’, ‘2020-08-10’,
‘2020-08-17’, ‘2020-08-24’, ‘2020-08-31’, ‘2020-09-07’,
‘2020-09-14’, ‘2020-09-21’, ‘2020-09-28’, ‘2020-10-05’,
‘2020-10-12’, ‘2020-10-19’, ‘2020-10-26’, ‘2020-11-02’,
‘2020-11-09’, ‘2020-11-16’, ‘2020-11-23’, ‘2020-11-30’,
‘2020-12-07’, ‘2020-12-14’, ‘2020-12-21’, ‘2020-12-28′],
dtype=’datetime64[ns]’, freq=’W-MON’)
We may convert the DateTimeIndex
object to a Series object to get a list of the days to be fetched.
import pandas as pd
year = "2020"
day = "WED"
start = year + "-01-01"
periods = 52
freq = "W-" + day
days = pd.Series(pd.date_range(start = start,
periods = periods,
freq = freq))
print (days)
|
Output :
0 2020-01-01
1 2020-01-08
2 2020-01-15
3 2020-01-22
4 2020-01-29
5 2020-02-05
6 2020-02-12
7 2020-02-19
8 2020-02-26
9 2020-03-04
10 2020-03-11
11 2020-03-18
12 2020-03-25
13 2020-04-01
14 2020-04-08
15 2020-04-15
16 2020-04-22
17 2020-04-29
18 2020-05-06
19 2020-05-13
20 2020-05-20
21 2020-05-27
22 2020-06-03
23 2020-06-10
24 2020-06-17
25 2020-06-24
26 2020-07-01
27 2020-07-08
28 2020-07-15
29 2020-07-22
30 2020-07-29
31 2020-08-05
32 2020-08-12
33 2020-08-19
34 2020-08-26
35 2020-09-02
36 2020-09-09
37 2020-09-16
38 2020-09-23
39 2020-09-30
40 2020-10-07
41 2020-10-14
42 2020-10-21
43 2020-10-28
44 2020-11-04
45 2020-11-11
46 2020-11-18
47 2020-11-25
48 2020-12-02
49 2020-12-09
50 2020-12-16
51 2020-12-23
dtype: datetime64[ns]
Like Article
Suggest improvement
Share your thoughts in the comments
Please Login to comment...