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how to convert price data into charts in python

Smiling Starling on Aug 01, 2020

import plotly.express as px
import plotly.graph_objects as go
import pandas as pd
import requests
import json
quote = ‘AAPL’days = 300
def candlestick(quote,days):
	r = requests.get(f’https://financialmodelingprep.com/api/v3/historical-price-full/{quote}?timeseries={days}')  
    r = r.json()   
	stockdata = r[‘historical’]  
	stockdata_df = pd.DataFrame(stockdata)   
	fig = go.Figure(data=[go.Candlestick(x=stockdata_df[‘date’],  
                          open=stockdata_df[‘open’],
                          high=stockdata_df[‘high’],
                          low=stockdata_df[‘low’],
                          close=stockdata_df[‘close’])])
	fig.update_layout(
      				title= {
                      ‘text’: quote,
                      ‘y’:0.9,
                      ‘x’:0.5,
                      ‘xanchor’: ‘center’,
                      ‘yanchor’: ‘top’},
      				font=dict(
                      family=”Courier New, monospace”,
                      size=20,
                      color=”#7f7f7f”
                    ))  
					fig.show()
candlestick(quote,days)

Source: towardsdatascience.com

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"how to convert price data into charts in python" Code Answer's