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ANALISIS 1
up today
# Import matplotlib
import matplotlib.pyplot as plt
# Isolate the `Adj Close` values and transform the DataFrame
daily_close_px = all_data[['Adj Close']].reset_index().pivot('Date', 'Ticker', 'Adj Close')
# Calculate the daily percentage change for `daily_close_px`
daily_pct_change = daily_close_px.pct_change()
# Plot the distributions
daily_pct_change.hist(bins=50, sharex=True, figsize=(12,8))
# Show the resulting plot
plt.show()
********************************
tickers1withplot00SCATTER.py:46: FutureWarning: pandas.scatter_matrix is deprecated, use pandas.plotting.scatter_matrix instead
pd.scatter_matrix(daily_pct_change, diagonal='kde', alpha=0.1,figsize=(12,12))
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