stock-correlations-load-data.py

# read csv file
raw_asset_prices_df = pd.read_csv("asset_prices.csv", index_col='Date')

# get number of rows and columns of the dataset
df_shape = (raw_asset_prices_df.shape)
print(f"There are {df_shape[0]} rows and {df_shape[1]} columns in the dataset")
print(f"Data timeperiod covers: {min(raw_asset_prices_df.index)} to {max(raw_asset_prices_df.index)}")

# show first five rows
raw_asset_prices_df.head()