Pandas Datetime: Convert given datetime to timestamp
Pandas Datetime: Exercise-9 with Solution
Write a Pandas program to convert given datetime to timestamp.
Sample Solution :
Python Code :
import pandas as pd
import datetime as dt
import numpy as np
df = pd.DataFrame(index=pd.DatetimeIndex(start=dt.datetime(2019,1,1,0,0,1),
end=dt.datetime(2019,1,1,10,0,1), freq='H'))\
.reset_index().rename(columns={'index':'datetime'})
print("Sample datetime data:")
print(df.head(10))
df['ts'] = df.datetime.values.astype(np.int64) // 10 ** 9
print("\nConvert datetime to timestamp:")
print (df)
Sample Output:
Sample datetime data: datetime 0 2019-01-01 00:00:01 1 2019-01-01 01:00:01 2 2019-01-01 02:00:01 3 2019-01-01 03:00:01 4 2019-01-01 04:00:01 5 2019-01-01 05:00:01 6 2019-01-01 06:00:01 7 2019-01-01 07:00:01 8 2019-01-01 08:00:01 9 2019-01-01 09:00:01 Convert datetime to timestamp: datetime ts 0 2019-01-01 00:00:01 1546300801 1 2019-01-01 01:00:01 1546304401 2 2019-01-01 02:00:01 1546308001 3 2019-01-01 03:00:01 1546311601 4 2019-01-01 04:00:01 1546315201 5 2019-01-01 05:00:01 1546318801 6 2019-01-01 06:00:01 1546322401 7 2019-01-01 07:00:01 1546326001 8 2019-01-01 08:00:01 1546329601 9 2019-01-01 09:00:01 1546333201 10 2019-01-01 10:00:01 1546336801
Python Code Editor:
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Python: Tips of the Day
F strings:
It is a common practice to add variables inside strings. F strings are by far the coolest way of doing it. To appreciate the f strings more, let's first perform the operation with the format function.
name = 'Owen' age = 25 print("{} is {} years old".format(name, age))
Output:
Owen is 25 years old
We specify the variables that go inside the curly braces by using the format function at the end. F strings allow for specifying the variables inside the string.
name = 'Owen' age = 25 print(f"{name} is {age} years old")
Output:
Owen is 25 years old
F strings are easier to follow and type. Moreover, they make the code more readable.
A, B, C = {2, 4, 6} print(A, B, C) A, B, C = ['p', 'q', 'r'] print(A, B, C)
Output:
2 4 6 p q r
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