Membaca data tanggal dan waktu di Pandas
Bekerja dengan Tanggal dan Waktu di Python
Max Shron
Data Scientist and Author
Contoh sederhana Pandas
# Muat Pandas import pandas as pd# Impor perjalanan W20529 di Q4 2017 rides = pd.read_csv('capital-onebike.csv')
Contoh sederhana Pandas
# Lihat data
print(rides.head(3))
Start date End date Start station \
0 2017-10-01 15:23:25 2017-10-01 15:26:26 Glebe Rd & 11th St N
1 2017-10-01 15:42:57 2017-10-01 17:49:59 George Mason Dr & Wilson Blvd
2 2017-10-02 06:37:10 2017-10-02 06:42:53 George Mason Dr & Wilson Blvd
End station Bike number Member type
0 George Mason Dr & Wilson Blvd W20529 Member
1 George Mason Dr & Wilson Blvd W20529 Casual
2 Ballston Metro / N Stuart & 9th St N W20529 Member
Contoh sederhana Pandas
rides['Start date']
0 2017-10-01 15:23:25
1 2017-10-01 15:42:57
...
Name: Start date, Length: 290, dtype: object
rides.iloc[2]
Start date 2017-10-02 06:37:10
End date 2017-10-02 06:42:53
...
Name: 1, dtype: object
Memuat datetime dengan parse_dates
# Impor perjalanan W20529 di Q4 2017 rides = pd.read_csv('capital-onebike.csv', parse_dates = ['Start date', 'End date'])# Atau: rides['Start date'] = pd.to_datetime(rides['Start date'], format = "%Y-%m-%d %H:%M:%S")
Memuat datetime dengan parse_dates
# Pilih Start date untuk baris ke-2
rides['Start date'].iloc[2]
Timestamp('2017-10-02 06:37:10')
Aritmetika dengan zona waktu
# Buat kolom durasi rides['Duration'] = rides['End date'] - rides['Start date']# Cetak 5 baris pertama print(rides['Duration'].head(5))
0 0 days 00:03:01
1 0 days 02:07:02
2 0 days 00:05:43
3 0 days 00:21:18
4 0 days 00:21:17
Name: Duration, dtype: timedelta64[ns]
Memuat datetime dengan parse_dates
rides['Duration']\
.dt.total_seconds()\
.head(5)
0 181.0
1 7622.0
2 343.0
3 1278.0
4 1277.0
Name: Duration, dtype: float64
Membaca data tanggal dan waktu di Pandas
Bekerja dengan Tanggal dan Waktu di Python
