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Pandas: Time-series with two index labels and random values

Pandas Time Series: Exercise-5 with Solution

Write a Pandas program to create a time-series with two index labels and random values. Also print the type of the index.

Sample Solution:

Python Code :

import pandas as pd
import numpy as np
import datetime
from datetime import datetime, date
dates = [datetime(2011, 9, 1), datetime(2011, 9, 2)]
print("Time-series with two index labels:")
time_series = pd.Series(np.random.randn(2), dates)
print(time_series)
print("\nType of the index:")
print(type(time_series.index))

Sample Output:

Time-series with two index labels:
2011-09-01   -0.257567
2011-09-02    0.947341
dtype: float64

Type of the index:
<class 'pandas.core.indexes.datetimes.DatetimeIndex'>        

Python Code Editor:


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Previous: Write a Pandas program to print the day after and before a specified date. Also print the days between two given dates.
Next: Write a Pandas program to create a time-series from a given list of dates as strings.

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Python: Tips of the Day

Merging two dicts in Python 3.5+ with a single expression

Example:

# How to merge two dictionaries
# in Python 3.5+

x = {'p': 1, 'q': 3}
y = {'q': 5, 'r': 8}

z = {**x, **y}

z
{'r': 4, 'p': 1, 'q': 3}

z = dict(x, **y)
print(z)

Output:

{'p': 1, 'q': 5, 'r': 8}