verbose float

evdspy/EVDSlocal/components/evds_files.py

@@ -185,7 +185,8 @@ def check_cols(x: str):
             for other_column in other_cols:
                 self.df[other_column] = old_df[other_column]
         except:
-            print_with_failure_style("Could not convert some columns to float type...")
+            # print_with_failure_style("Could not convert some columns to float type...")
+            ...
     def convert_csv_df(self, csv_buffer: str):
         if not csv_buffer:
             return False

evdspy/EVDSlocal/index_requests/df_operations.py

@@ -59,7 +59,8 @@ def check_cols(x: str):
         try:
             self.df = self.df[columns].astype(float)
         except:
-            print_with_failure_style("Could not convert some columns to float type...")
+            # print_with_failure_style("Could not convert some columns to float type...")
+            ...
         for other_column in other_cols:
             self.df[other_column] = old_df[other_column]
     def convert_to_df_abstract(self):

evdspy/EVDSlocal/index_requests/index_util_funcs.py

@@ -1,31 +1,40 @@
-
 import pandas as pd
 import typing as t
 from ..common.colors import print_with_failure_style
 from ..components.excel_class import correct_folder
+
+
 def make_date_first_column_helper(df, col_name):
     if col_name not in df.columns:
         return df
     cols = [col_name] + [col for col in df if col != col_name]
     df = df[cols]
     return df
+
+
 def make_date_first_column(df):
     col_names = ('YEARWEEK', 'Tarih',)
     for col_name in col_names:
         df = make_date_first_column_helper(df, col_name)
     return df
+
+
 def drop_unix(df):
     UnixTime = 'UNIXTIME'
     if UnixTime in df.columns:
         df.drop(UnixTime, axis=1, inplace=True)
     return df
+
+
 def json_to_df(json_content: t.Union[list, dict]):
     if hasattr(json_content, 'items'):
         json_content = json_content['items']
     df = pd.DataFrame.from_records(json_content)
     df = drop_unix(df)
     df = make_date_first_column(df)
     return df
+
+
 def make_df_float(df):
     def check_cols(x: str):
         items = (
@@ -35,16 +44,20 @@ def check_cols(x: str):
             "YEAR" not in x,
         )
         return all(items)
+
     columns = (x for x in df.columns if check_cols(x))
     other_cols = (x for x in df.columns if not check_cols(x))
     old_df = df
     try:
         df = df[columns].astype(float)
     except:
-        print_with_failure_style("Could not convert some columns to float type...")
+        # print_with_failure_style("Could not convert some columns to float type...")
+        ...
     for other_column in other_cols:
         df[other_column] = old_df[other_column]
     return df
+
+
 def json_to_excel(json_content: list, file_name, try_float=True):
     file_name = correct_folder(file_name, "xlsx")
     df = json_to_df(json_content)
@@ -54,4 +67,4 @@ def json_to_excel(json_content: list, file_name, try_float=True):
         df = make_date_first_column(df)
         df.to_excel(file_name)
     except:
-        print(f"could not write excel file {file_name}. =>file is probably open")
+        print(f"could not write excel file {file_name}. =>file is probably open")