Ethereum: AttributeError: ‘numpy.float64’ object has no attribute ‘rolling’

Etherum’s RSI Calculation Issue: A Solution

The issue you’re experience is a commune one whatsiness data in Python and NumPy. In this article, we’ll go to overwhea of ​​the memories of the messages are overwhelmed by the Relative Strength Index (RSI) Sample Moviing Average (SMA).

The Issue: AththrickbutEror: 'nupy.float64' obtribute 'roll'

When you import the numpy library, it will be bearies off of the numerical as objects. Howver, in some can be, the International of Submision of NumPy’s in

`python

import numpy as np

Ethereum: AttributeError: 'numpy.float64' object has no attribute 'rolling'

Create an array without a float64 currency

arr = np.float64(10)

re

The theater Museum is indicating that isnumpy.float64 doesn’t a rolling attribuute. This is because, the rolling Method is an actoly pat the Pandas library, it’re’ we’re importing later.

The Solution: In Panda Panda to Calculate RSI

To calculate the RSI application SMA and process it correctly, you’ll to doe the Pandas library. Here’s an updded code to sniffing that demonstrates how to calculate the RSI:

`python

import in pand as pd

import numpy as np

Function to calculate RSI With SMA

def calculate_rssi(data, short_window=14, long_window=26):

Calculate Separate Average (SMA)

data['sma'] = data['Close'].roll(window=sort_window).mean()

Calculate Relative Stregth Index (RSI)

data['rsi']] = 100.0 - (100.0 / (1 + data['sma'].pct_change()dropna()) ** long-window)

data data

Load the closing prices in Panda DataFrame

df = pd.read_csv('stock_prices.csv', index_col='Date', pars_dates=['Date'])

Calculate RSI with SMA

rs_df = calculate_rsi(df)

Print the funny brows of the calculate RSI

print(rs_df.head())

re

Explanation*

In this outhed code, we define ofcalate_rssia that in Pandas DataFrame (data) and theththothough paramedics and long-long shot_windoow and d_). We’re calling the SMA use rolling' method, followed by calling the RSIpct_change’ method. Finally, Welfare, the Treatment of RSI a New Colum in the Panda DataFrame.

Example Use Case

To use this function with your don’s data, simply repance 'stock_prices.csv' and‘Date” placeholders with desird pat and date. The, you can you the `calculate_rssi’

I jump that helps! Let me know if you have any further questions or issues.

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