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currencyapi.py

@@ -0,0 +1,77 @@
+import pandas as pd
+import requests
+
+class currency():
+
+    def tra():
+        url=requests.get("https://www.tra.go.tz/index.php/exchange-rates")
+        dfs=pd.read_html(url.text)
+
+        for df in dfs:
+
+            if len(df) == 34:
+                the_one = df
+                clone=the_one.rename(columns={0:"COUNTRY",1:"CURRENCY",2:"SELLING RATES",3:"BUYING RATES"})
+                pure=clone[1:]
+                test=pure.T
+
+                database={
+                    "USD": dict(test[1]),
+                    "GBP": dict(test[2]),
+                    "EUR": dict(test[3]),
+                    "CND": dict(test[4]),
+                    "SWZ": dict(test[5]),
+                    "JPY": dict(test[6]),
+                    "SWD": dict(test[7]),
+                    "NRW": dict(test[8]),
+                    "DNM": dict(test[9]),
+                    "AUS": dict(test[10]),
+                    "IND": dict(test[11]),
+                    "PKS": dict(test[12]),
+                    "ZAM": dict(test[13]),
+                    "MAL": dict(test[14]),
+                    "MOZ": dict(test[15]),
+                    "KNY": dict(test[16]),
+                    "UGN": dict(test[17]),
+                    "RWD": dict(test[18]),
+                    "BUR": dict(test[19]),
+                    "ZIM": dict(test[20]),
+                    "SAF": dict(test[21]),
+                    "UAE": dict(test[22]),
+                    "SNP": dict(test[23]),
+                    "HNK": dict(test[24]),
+                    "SAR": dict(test[25]),
+                    "KWT": dict(test[26]),
+                    "BTS": dict(test[27]),
+                    "CHN": dict(test[28]),
+                    "MLS": dict(test[29]),
+                    "SKR": dict(test[30]),
+                    "NZL": dict(test[31]),
+                    "SDR": dict(test[32]),
+                    "GOLD": dict(test[33]),
+                }
+
+                return database
+
+            else:
+                raise FileNotFound(f"Error:: {url.status_code} file not found")
+
+
+    def major():
+        datas=requests.get("https://www.x-rates.com/table/?from=USD&amount=1")	
+        dfs=pd.read_html(datas.text)
+
+        for df in dfs:
+            if len(df)==10:
+                required=df
+                major={
+                     "EUR/USD": {"BUY": required["1.00 USD"][0], "SELL": required["inv. 1.00 USD"][0]},
+                     "USD/JPY": {"BUY": required["1.00 USD"][8], "SELL": required["inv. 1.00 USD"][8]},
+                     "GBP/USD": {"BUY": required["1.00 USD"][1], "SELL": required["inv. 1.00 USD"][1]},
+                     "USD/CHF": {"BUY": required["1.00 USD"][6], "SELL": required["inv. 1.00 USD"][6]},
+                }
+
+                return major
+            else:
+                raise TableNotFound(f"Error :: {datas.status_code}")
+