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

Last update on April 04 2025 13:48:00 (UTC/GMT +8 hours)

5. Custom Time-Series with Index Labels

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'>        

For more Practice: Solve these Related Problems:

• Write a Pandas program to create a time-series with two non-sequential datetime indices and verify the index type.
• Write a Pandas program to generate a time-series with duplicate datetime indices and then reindex the data to remove duplicates.
• Write a Pandas program to build a time-series with custom string labels as indices and sort the series based on those labels.
• Write a Pandas program to create a random time-series with unsorted datetime indices and then sort the index chronologically.

Python Code Editor:

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