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financial_highlights.xlsx
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import pandas as pd
# Load the excel file
financial_data = pd.read_excel("/mnt/data/financial_highlights.xlsx")
financial_data.head()Pythonã®ããŒã¿è§£æã©ã€ãã©ãªã§ããPandasã䜿çšããŠããã®ãåãããŸãã
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ïŒïŒå£²äžåçïŒRevenueïŒ
ïŒïŒéGAAPå¶æ¥å©çãŸãã¯æå€±ïŒNon-GAAP Operating Income or LossïŒ
ïŒïŒå¶æ¥å©çãŸãã¯æå€±ïŒOperating Income or LossïŒ
ïŒïŒçšåŒååœæå©çãŸãã¯æå€±ïŒIncome or Loss before Income TaxïŒ
ïŒïŒåœæå©çãŸãã¯æå€±ïŒNet Income or LossïŒ
ïŒïŒåœæå æ¬å©çïŒComprehensive IncomeïŒ
ïŒïŒèŠªäŒç€Ÿã®ææè ã«åž°å±ããæåïŒEquity Attributable to Owners of the CompanyïŒ
ïŒïŒç·è³ç£é¡ïŒTotal AssetsïŒ
ïŒïŒåºæ¬çïŒæ ªåœããåœæå©çïŒBasic Earnings Per ShareïŒ
10ïŒåžèååŸïŒæ ªåœããåœæå©çïŒDiluted Earnings Per ShareïŒ
11ïŒèŠªäŒç€Ÿææè åž°å±æåæ¯çïŒRatio of Total EquityïŒ
12ïŒèŠªäŒç€Ÿææè åž°å±æååœæå©çç(ROE)ïŒReturn on EquityïŒ
13ïŒå¶æ¥æŽ»åã«ãããã£ãã·ã¥ã»ãããŒïŒCash Flows From Operating ActivitiesïŒ
14ïŒæè³æŽ»åã«ãããã£ãã·ã¥ã»ãããŒïŒCash Flows From Investment ActivitiesïŒ
ããã§Code Interpreterãçæããã³ãŒãã¯ä»¥äžã®ãšããã§ãã
# Let's first identify the structure of the excel file
# We will load the data again and check the structure of the data
# Load the excel file
financial_data = pd.read_excel("/mnt/data/financial_highlights.xlsx", header=None)
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ïŒïŒå£²äžåçïŒRevenueïŒ
ïŒïŒå¶æ¥å©çãŸãã¯æå€±ïŒOperating Income or LossïŒ
ïŒïŒèŠªäŒç€Ÿã®ææè ã«åž°å±ããæåïŒEquity Attributable to Owners of the CompanyïŒ
ïŒïŒåºæ¬çïŒæ ªåœããåœæå©çïŒBasic Earnings Per ShareïŒ
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import matplotlib.pyplot as plt
# Set the figure size
plt.figure(figsize=(15, 10))
# Plot the revenue
plt.subplot(2, 2, 1)
plt.plot(financial_data_clean["Year"], financial_data_clean["売äžåç"])
plt.title('Revenue Over Time')
plt.xlabel('Year')
plt.ylabel('Revenue (million yen)')
# Plot the operating income or loss
plt.subplot(2, 2, 2)
plt.plot(financial_data_clean["Year"], financial_data_clean["å¶æ¥å©çåã¯æå€±"])
plt.title('Operating Income or Loss Over Time')
plt.xlabel('Year')
plt.ylabel('Operating Income or Loss (million yen)')
# Plot the equity attributable to owners of the company
plt.subplot(2, 2, 3)
plt.plot(financial_data_clean["Year"], financial_data_clean["芪äŒç€Ÿã®ææè
ã«åž°å±ããæå"])
plt.title('Equity Attributable to Owners of the Company Over Time')
plt.xlabel('Year')
plt.ylabel('Equity Attributable to Owners of the Company (million yen)')
# Plot the basic earnings per share
plt.subplot(2, 2, 4)
plt.plot(financial_data_clean["Year"], financial_data_clean["åºæ¬çïŒæ ªåœããåœæå©ç"])
plt.title('Basic Earnings Per Share Over Time')
plt.xlabel('Year')
plt.ylabel('Basic Earnings Per Share (yen)')
# Adjust the layout
plt.tight_layout()
# Show the plot
plt.show()Pythonã®ã°ã©ãæç»ã©ã€ãã©ãªã§ããMatplotlibã䜿çšããŠããã®ãåãããŸãã
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}
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