From 9ebe41de5fe40903294efa6152ca069c954dc2f0 Mon Sep 17 00:00:00 2001
From: AaronCooke2718 <121969609+AaronCooke2718@users.noreply.github.com>
Date: Thu, 23 Nov 2023 12:13:33 -0500
Subject: [PATCH] Update processing.py

---
 covid19_drdfm/processing.py | 91 +++++++++++++++++++++++++++++++++++++
 1 file changed, 91 insertions(+)

diff --git a/covid19_drdfm/processing.py b/covid19_drdfm/processing.py
index bfadd4f..ed81356 100644
--- a/covid19_drdfm/processing.py
+++ b/covid19_drdfm/processing.py
@@ -1,3 +1,6 @@
+# %%
+
+
 """I/O and processing module
 
 Converts all input files into single consolidated dataframe that can be used
@@ -129,3 +132,91 @@ def add_datetime(df: pd.DataFrame) -> pd.DataFrame:
     df = df.assign(Month=pd.to_numeric(df.Period.apply(lambda x: x[1:]))).assign(Day=1)
     df["Time"] = pd.to_datetime({"year": df.Year, "month": df.Month, "day": df.Day})
     return df.drop(columns=["Period", "Month", "Year", "Day"])
+
+# %%
+def fix_names(df: pd.DataFrame) -> pd.DataFrame:
+    df = df.rename(columns={'Cases1': 'Pandemic_1', 'Cases2': 'Pandemic_2',\
+                            'Cases3': 'Pandemic_3', 'Cases4': 'Pandemic_4', \
+                            'Cases5': 'Pandemic_5', 'Hosp1': 'Pandemic_6',\
+                            'Hosp2': 'Pandemic_7', 'Deaths1': 'Pandemic_8', \
+                            'Deaths2': 'Pandemic_9', 'Deaths3': 'Pandemic_10'\
+                            'Deaths4': 'Pandemic_11', 'Deaths5': 'Pandemic_12'\
+                            'Vax1': 'Pandemic_Response_1', 'Vax2': 'Pandemic_Response_2',\
+                            'Vax3': 'Pandemic_Response_3', 'Gather1': 'Pandemic_Response_4', \
+                            'Gather2': 'Pandemic_Response_5', 'Gather3': 'Pandemic_Response_6',\
+                            'Gather4': 'Pandemic_Response_7', 'SaH': 'Pandemic_Response_8', \
+                            'Curfew': 'Pandemic_Response_9', 'Mask1': 'Pandemic_Response_10'\
+                            'Mask2': 'Pandemic_Response_11', 'School': 'Pandemic_Response_12'\
+                            'Cons1': 'Demand_1', 'Cons2': 'Demand_2',\
+                            'Cons3': 'Demand_3', 'Cons4': 'Demand_4',\
+                            'Cons5': 'Demand_5', 'Employment1': 'Demand_6',\
+                            'Employment2': 'Demand_7', 'GDP': 'Supply_1',\
+                            'UI': 'Supply_2', 'PartR': 'Supply_3',\
+                            'UR': 'Supply_4', 'RPFI': 'Supply_5',\
+                            'FixAss': 'Supply_6', 'Prod': 'Supply_7',\
+                            'CPI': 'Monetary_1', 'CPIU': 'Monetary_2',\
+                            'PCE': 'Monetary_3', 'PCEC': 'Monetary_4',\
+                            'TBill1mo': 'Monetary_5', 'TBill6mo': 'Monetary_6',\
+                            'TBill1yr': 'Monetary_7', 'TBill5yr': 'Monetary_8',\
+                            'TBill10yr': 'Monetary_9', 'TBill30yr': 'Monetary_10',\
+                            'FFR': 'Monetary_11'})
+    """
+    #write the code that will change the dataframes names
+    # Look at other pandemic functions
+    # return modified version of the dataframe
+    # Have test code to validate"""
+
+def factordic()
+    factors = {}
+    factors[Cases1] = 'Global', 'Pandemic'
+    factors[Cases2] = 'Global', 'Pandemic'
+    factors[Cases3] = 'Global', 'Pandemic'
+    factors[Cases4] = 'Global', 'Pandemic'
+    factors[Cases5] = 'Global', 'Pandemic'
+    factors[Hosp1] = 'Global', 'Pandemic'
+    factors[Hosp2] = 'Global', 'Pandemic'
+    factors[Deaths1] = 'Global', 'Pandemic'
+    factors[Deaths2] = 'Global', 'Pandemic'
+    factors[Deaths3] = 'Global', 'Pandemic'
+    factors[Deaths4] = 'Global', 'Pandemic'
+    factors[Deaths5] = 'Global', 'Pandemic'
+    factors[Vax1] = 'Global', 'Response'
+    factors[Vax2] = 'Global', 'Response'
+    factors[Vax3] = 'Global', 'Response'
+    factors[Gather1] = 'Global', 'Response'
+    factors[Gather2] = 'Global', 'Response'
+    factors[Gather3] = 'Global', 'Response'
+    factors[Gather4] = 'Global', 'Response'
+    factors[SaH] = 'Global', 'Response'
+    factors[Curfew] = 'Global', 'Response'
+    factors[Mask1] = 'Global', 'Response'
+    factors[Mask2] = 'Global', 'Response'
+    factors[School] = 'Global', 'Response'
+    factors[Cons1] = 'Global', 'Consumption'
+    factors[Cons2] = 'Global', 'Consumption'
+    factors[Cons3] = 'Global', 'Consumption'
+    factors[Cons4] = 'Global', 'Consumption'
+    factors[Cons5] = 'Global', 'Consumption'
+    factors[Employment1] = 'Global', 'Employment'
+    factors[Employment2] = 'Global', 'Employment'
+    factors[UI] = 'Global', 'Employment'
+    factors[PartR] = 'Global', 'Employment'
+    factors[UR] = 'Global', 'Employment'
+    factors[CPI] = 'Global', 'Inflation'
+    factors[CPIU] = 'Global', 'Inflation'
+    factors[PCE] = 'Global', 'Inflation'
+    factors[PCEC] = 'Global', 'Inflation'
+    factors[RPFI] = 'Global', 'Uncat'
+    factors[FixAss] = 'Global', 'Uncat'
+    factors[Prod] = 'Global', 'Uncat'
+    factors[GDP] = 'Global', 'Uncat'
+    factors[TBill1mo] = 'Global', 'Uncat'
+    factors[TBill6mo] = 'Global', 'Uncat'
+    factors[TBill1yr] = 'Global', 'Uncat'
+    factors[TBill5yr] = 'Global', 'Uncat'
+    factors[TBill10tr] = 'Global', 'Uncat'
+    factors[TBill30yr] = 'Global', 'Uncat'
+    factors[TBillFFR] = 'Global', 'Uncat'
+
+
+