update cn.fgr_monthly
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@ -778,14 +778,12 @@ def fgr_monthly(): # Forex and Gold Reserve
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df.replace("", np.nan, inplace=True)
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df.replace("", np.nan, inplace=True)
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df["Date"] = pd.to_datetime(df["Date"], format="%Y-%m-%d")
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df["Date"] = pd.to_datetime(df["Date"], format="%Y-%m-%d")
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df[["Forex", "Gold"]] = \
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df[["Forex", "Gold"]] = \
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df["Forex", "Gold"].astype(float)
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df[["Forex", "Gold"]].astype(float)
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df[["Forex_YoY_Rate", "Gold_YoY_Rate",
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df[["Forex_YoY_Rate", "Gold_YoY_Rate",
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"Forex_MoM_Rate", "Gold_MoM_Rate"]] = \
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"Forex_MoM_Rate", "Gold_MoM_Rate"]] = \
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df["Forex_YoY_Rate", "Gold_YoY_Rate",
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df[["Forex_YoY_Rate", "Gold_YoY_Rate",
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"Forex_MoM_Rate", "Gold_MoM_Rate"].astype(float) / 100
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"Forex_MoM_Rate", "Gold_MoM_Rate"]].astype(float) / 100
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return df
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return df
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# TODO: SPECIAL CASE
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def ctsf_monthly(): # Client Transaction Settlement Funds
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def ctsf_monthly(): # Client Transaction Settlement Funds
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"""
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"""
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