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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()

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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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