2. Process data

Aug 1, 2023393

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This text provides instructions on how to install and use the pandas library in Python for data analysis. It covers steps such as installing pandas and pandas_ta, processing data using DataFrames, handling column labels, converting time, calculating indicators like RSI, and saving data to a CSV file.

Install pandas, pandas is an open-source software library built on Python for data manipulation and analysis.

pip3 install pandas

Process data, DataFrame is a tabular data structure.

import pandas as pd
data = pd.DataFrame(data)

Process column labels.

data.columns = ['Time','Open','High','Low','Close','Volume']

Time conversion.

data['Time'] = pd.to_datetime(data['Time'], unit='ms')

5. Get time and closing price.

data = data[['Time', 'Close']]

6. Install pandas ta, pandas TA is an open-source module based on the Pandas library, which provides over a hundred technical indicators and commonly used indicators.

pip3 install pandas_ta

Calculate indicators, RSI indicator evaluates the strength of the bullish and bearish forces by measuring the percentage of the total magnitude of price increases in a given period to the total magnitude of price changes, and provides specific operation suggestions.

import pandas_ta as ta
df['rsi']=ta.rsi(df['close'],length=10)

8. Save to .csv and disable index.

data.to_csv('data.csv',index=False)