﻿ Resampling Time Series data to Yearly Frequency with Pandas

Resampling Time Series data to Yearly Frequency

Pandas Resampling and Frequency Conversion: Exercise-10 with Solution

Write a Pandas program to resample Time Series Data to Yearly Frequency.

Sample Solution:

Python Code :

``````# Import necessary libraries
import pandas as pd
import numpy as np

# Create a time series data with monthly frequency
date_rng = pd.date_range(start='2017-01-01', end='2022-01-01', freq='M')
ts = pd.Series(np.random.randn(len(date_rng)), index=date_rng)

# Resample the time series to yearly frequency
ts_yearly = ts.resample('Y').mean()

# Display the resampled time series
print(ts_yearly)
``````

Output:

```2017-12-31    0.145795
2018-12-31   -0.212915
2019-12-31    0.327427
2020-12-31    0.027618
2021-12-31   -0.250738
Freq: A-DEC, dtype: float64
```

Explanation:

• Import Pandas and NumPy libraries.
• Create a date range with monthly frequency.
• Generate a random time series data with the created date range.
• Resample the time series data to yearly frequency by calculating the mean.
• Print the resampled time series data.

Python Code Editor:

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