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[FIX] capitalization for GOMSpace, typo in an axis label in plot_util…
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…s.py
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hollydinkel committed Aug 21, 2024
1 parent f5f266a commit 99c826f
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Showing 28 changed files with 3 additions and 3 deletions.
2 changes: 1 addition & 1 deletion config/company_metadata.json
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Expand Up @@ -8,7 +8,7 @@
"_HEXcolor": "#0060B0",
"style" : "solid"
},
"GomSpace":
"GOMSpace":
{"file" : "gomspace.xlsx",
"startDate" : "2019-12-31",
"endDate" : "2023-12-31",
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Binary file modified images/acf_analysis/Assets_acf.png
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Binary file modified images/acf_analysis/Revenue_acf.png
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Binary file modified images/acf_analysis/Revenue_pacf.png
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Binary file modified images/asset_turnover.png
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2 changes: 1 addition & 1 deletion src/plot_utils.py
Original file line number Diff line number Diff line change
Expand Up @@ -80,6 +80,6 @@ def plotPredictions(fig, ax, company, companyMetadata, time=None, inSamplePredic
line2, = ax.plot([], [], color='k', linestyle="dashed", alpha=0.5, linewidth=12, label='Out-of-Sample Prediction')
line3, = ax.plot([], [], color='k', linestyle="solid", linewidth=12, label='Ground Truth Data')
# Add the legend with specified labels
fig.legend([line1, line2, line3], ['In-Sam1le Prediction', 'Out-of-Sample Prediction', 'Ground Truth Data'],
fig.legend([line1, line2, line3], ['In-Sample Prediction', 'Out-of-Sample Prediction', 'Ground Truth Data'],
loc='upper center', bbox_to_anchor=(0.5, 0.08), ncol=3, prop={'size': size})
return fig
2 changes: 1 addition & 1 deletion src/process.py
Original file line number Diff line number Diff line change
Expand Up @@ -208,7 +208,7 @@ def generate_next_quarters(start_date, n):
# print(filteredData["Quarter"])
if company == "iQPS":
plotPredictions(fig10, ax10, company, companyMetadata, filteredData["Quarter"], inSamplePredictions1, outSamplePredictions1, transformedData["Revenue_USD"], "Revenue ($ USD)", split)
elif company == "GomSpace":
elif company == "GOMSpace":
plotPredictions(fig11, ax11, company, companyMetadata, filteredData["Quarter"], inSamplePredictions1, outSamplePredictions1, transformedData["Revenue_USD"], "Revenue ($ USD)", split)
elif company == "Kleos Space":
plotPredictions(fig12, ax12, company, companyMetadata, filteredData["Quarter"], inSamplePredictions1, outSamplePredictions1, transformedData["Revenue_USD"], "Revenue ($ USD)", split)
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