Python4Finance

رسم نمودارهای جذاب با Pygal- بخش دوم

#code by @python4finance
import yfinance as yf
import pandas as pd
import numpy as np
import pygal
from IPython.display import SVG

tickers = ['AAPL', 'MSFT', 'GOOGL', 'TSLA', 'AMZN']
factors = ['Value (P/E)', 'Momentum (6M)', 'Quality (ROE)']

data = []
for ticker in tickers:
    stock = yf.Ticker(ticker)
    info = stock.info
    hist = stock.history(period='6mo')

    try:
        pe = info['trailingPE']
        roe = info['returnOnEquity']
        momentum = (hist['Close'].iloc[-1] - hist['Close'].iloc[0]) / hist['Close'].iloc[0]
        data.append({'Ticker': ticker, 'P/E': pe, 'Momentum': momentum, 'ROE': roe})
    except:
        print(f"Error on reading data")

df = pd.DataFrame(data)

# Normalizing
for col in ['P/E', 'Momentum', 'ROE']:
    col_norm = col + '_norm'
    values = df[col].values
    values = np.nan_to_num(values, nan=np.nanmean(values))
    df[col_norm] = (values - np.min(values)) / (np.max(values) - np.min(values))

radar_chart = pygal.Radar(fill=True)
radar_chart.title = 'Factor Investing مقایسه سهام مختلف بر اساس'
radar_chart.x_labels = factors

for i, row in df.iterrows():
    radar_chart.add(row['Ticker'], [1 - row['P/E_norm'], row['Momentum_norm'], row['ROE_norm']])

radar_chart.render_to_file('multi_factor_radar.svg')
SVG(filename='multi_factor_radar.svg')

#نمودار
#pygal

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1.14K viewsAug 24 at 13:34

رسم نمودارهای جذاب با Pygal- بخش دوم

#code by @python4finance
import yfinance as yf
import pandas as pd
import numpy as np
import pygal
from IPython.display import SVG

tickers = ['AAPL', 'MSFT', 'GOOGL', 'TSLA', 'AMZN']
factors = ['Value (P/E)', 'Momentum (6M)', 'Quality (ROE)']

data = []
for ticker in tickers:
    stock = yf.Ticker(ticker)
    info = stock.info
    hist = stock.history(period='6mo')

    try:
        pe = info['trailingPE']
        roe = info['returnOnEquity']
        momentum = (hist['Close'].iloc[-1] - hist['Close'].iloc[0]) / hist['Close'].iloc[0]
        data.append({'Ticker': ticker, 'P/E': pe, 'Momentum': momentum, 'ROE': roe})
    except:
        print(f"Error on reading data")

df = pd.DataFrame(data)

# Normalizing
for col in ['P/E', 'Momentum', 'ROE']:
    col_norm = col + '_norm'
    values = df[col].values
    values = np.nan_to_num(values, nan=np.nanmean(values))
    df[col_norm] = (values - np.min(values)) / (np.max(values) - np.min(values))

radar_chart = pygal.Radar(fill=True)
radar_chart.title = 'Factor Investing مقایسه سهام مختلف بر اساس'
radar_chart.x_labels = factors

for i, row in df.iterrows():
    radar_chart.add(row['Ticker'], [1 - row['P/E_norm'], row['Momentum_norm'], row['ROE_norm']])

radar_chart.render_to_file('multi_factor_radar.svg')
SVG(filename='multi_factor_radar.svg')

BY Python4Finance