[RM] Synspective from revenue and ebitda plots

hollydinkel · Sep 2, 2024 · 9f8f88b · 9f8f88b
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commit 9f8f88b
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Showing 3 changed files with 3 additions and 4 deletions.
diff --git a/images/ebitda_separate.png b/images/ebitda_separate.png
diff --git a/images/revenue_separate.png b/images/revenue_separate.png
diff --git a/src/process.py b/src/process.py
@@ -160,8 +160,8 @@ def generate_next_quarters(start_date, n):
 fig14, ax14 = plt.subplots(figsize=(10, 7), dpi=300)
 fig15, ax15 = plt.subplots(figsize=(10, 7), dpi=300)
 fig16, ax16 = plt.subplots(figsize=(10, 7), dpi=300)
-fig17, ax17 = plt.subplots(1, 6, figsize=(55, 10), dpi=300)
-fig18, ax18 = plt.subplots(1, 6, figsize=(55, 10), dpi=300)
+fig17, ax17 = plt.subplots(1, 5, figsize=(55, 10), dpi=300)
+fig18, ax18 = plt.subplots(1, 5, figsize=(55, 10), dpi=300)
 
 for i, company in enumerate(companyMetadata):
     print("COMPANY: ", company)
@@ -230,8 +230,7 @@ def generate_next_quarters(start_date, n):
         plotPredictions(fig17, ax17[i], company, companyMetadata, filteredData["Quarter"], inSamplePredictions1, outSamplePredictions1, transformedData["Revenue_USD"], "Revenue $ (USD)", split, plotEverything=True)
         plotPredictions(fig18, ax18[i], company, companyMetadata, filteredData["Quarter"], inSamplePredictions2, outSamplePredictions2, transformedData["EBITDA_USD"], "EBITDA $ (USD)", split, plotEverything=True)
     else:
-        plotPredictions(fig17, ax17[i], company, companyMetadata, plotEverything=True)
-        plotPredictions(fig18, ax18[i], company, companyMetadata, plotEverything=True)
+        pass
 
     plot_acf(transformedData["Total_Assets_USD"], lags=3, title=company, ax = ax21[i//3, i%3], color = 'red')
     plot_pacf(transformedData["Total_Assets_USD"], lags=2, title=company, ax = ax22[i//3, i%3], color = 'red')