FED_Visualize_Inflation_Rate.ipynb

Kernel: Python 3

FED - Visualize Inflation Rate

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Tags: #fed #inflation_rate #vizualization #plotly

Author: Mohit Singh

Last update: 2023-04-12 (Created: 2023-04-06)

Description: This notebook vizualize the inflation rate of the US using plotly and fred api

Input

import naas
import pandas as pd
import plotly.express as px
# fredapi
try:
    from fredapi import Fred
except ModuleNotFoundError:
    !pip install fredapi
    from fredapi import Fred

Setup Variables

• fred_api_key: Fred API Key, to obtain an Fred API key, please refer to the St. Louis Fed Website.

• series_id: A series ID is used to retrieve data for a specific economic indicator from the FRED database, please refer to the FRED Documentation

## api key
fred_api_key = naas.secret.get("FRED_API_KEY")

## series id
series_id = 'CPALTT01USM657N'

## initialize Fred with api key
fred = Fred(api_key=fred_api_key)

# Define the start date for the inflation rate data
start_date = "1960-01-01"

# Retrieve the inflation rate data
data = fred.get_series(series_id, start_date)

Model

# Convert the data to a Pandas DataFrame
df = pd.DataFrame(data, columns=["inflation rate"])

# Resample the data to the annual frequency and calculate the mean
df = df.resample("A").mean()

# Create a line plot using Plotly
fig = px.line(df, x=df.index, y="inflation rate", title="US Inflation Rate (1960-2023)")

Output

## display the plot
fig.show()