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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Previous: Resampling Time Series data to Quarterly Frequency.
Next: Shifting Time Series data Forward and Backward.
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