remove preceding nan data for uber method

pyproject.toml

@@ -0,0 +1,29 @@
+[build-system]
+requires = ["setuptools>=42", "wheel"]
+build-backend = "setuptools.build_meta"
+
+[project]
+name = "tradingfeatures"
+version = "0.8.0"
+description = "A useful tool to download market history from popular exchanges."
+readme = { file = "README.md", content-type = "text/markdown" }
+requires-python = ">=3.11"
+keywords = ["download", "market", "history", "binance", "bitfinex", "bitmex", "bitstamp"]
+license = { text = "MIT License" }
+authors = [
+    { name = "Onur Cetinkol", email = "realiti44@gmail.com" }
+]
+classifiers = [
+    "Programming Language :: Python :: 3",
+    "License :: OSI Approved :: MIT License",
+    "Operating System :: OS Independent"
+]
+dependencies = [
+    "numpy",
+    "pandas",
+    "requests",
+    "tqdm"
+]
+
+[tool.setuptools.packages.find]
+exclude = ["test", "test.*", "examples", "examples.*", "docs", "docs.*"]

tradingfeatures/uber.py

@@ -28,9 +28,6 @@ def __init__(
 
         self.apis = [self.apis_dict.get(key) for key in api_to_use]
 
-        self.bitmex = bitmex()
-        # self.google_trends = google_trends()
-
         self.columns = (
             ["open", "low", "high", "close", "volume"] if columns is None else columns
         )
@@ -53,23 +50,23 @@ def eval_get(self, limit=1000, **kwargs):
 
         datasets = [[item[0], item[1].result()[-limit:]] for item in futures]
 
-        merged = self.get(
-            datasets=datasets, save=False, trends=False, date=False, **kwargs
-        )
+        merged = self.get(datasets=datasets, save=False, date=False, **kwargs)
 
         # Fix for 0 and nan - check here again later
         merged = merged.replace(0, np.nan)
         if merged.isnull().values.any():  # Check here later
             merged = merged.interpolate()
 
+        # Remove preceding nan data
+        merged = merged.loc[merged.first_valid_index():]
+
         return merged
 
     def get(
         self,
         path="",
         datasets=None,
         merge=True,
-        trends=False,
         date=True,
         save=True,
         **kwargs,
@@ -139,37 +136,22 @@ def get(
         if date:
             df_final["date"] = pd.to_datetime(df_final.index, unit="s", utc=True)
 
-        if trends:
-            df_trends = self.google_trends.update("uber_data")
-            df_final = df_final.join(df_trends)
-
-            df_final["google_trends"].replace(0, np.nan, inplace=True)
-            df_final["google_trends"] = (
-                df_final["google_trends"].astype(float).interpolate()
-            )
-
         if save:
             df_final.to_csv(path + "/merged_final.csv")
 
         return df_final
 
     def update(self, path="uber_data", **kwargs):  # Fix path
-        working_directory = os.getcwd()
         datasets = []
 
         for api in self.apis:
             path_df = path + f"/{api.name}.csv"
-            # df = pd.read_csv(path_df, index_col=0)
-            # datasets.append([api.name, df])
-            # # break
 
             if os.path.exists(path_df):
                 df = api.update(path_df)
             else:
                 print(f"Couldn't find {api.name} data, downloading from strach..")
                 raise Exception
-                # df = api.get_hist()
-                # df.to_csv(path_df)
 
             datasets.append([api.name, df])