v1.3.2

Older Versions/yoshi-seals1.3.1/Seals/scan/__init__.py

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+# Seals - Program made for educational intent, can be freely distributed
+# and can be used for economical intent. I will not take legal actions
+# unless my intelectual propperty, the code, is stolen or change without permission.  
+
+# Copyright (C) 2020  VItor Hideyoshi Nakazone Batista
+
+# This program is free software; you can redistribute it and/or modify
+# it under the terms of the GNU General Public License version 2 as published by
+# the Free Software Foundation.
+
+# This program is distributed in the hope that it will be useful,
+# but WITHOUT ANY WARRANTY; without even the implied warranty of
+# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+# GNU General Public License for more details.
+
+# You should have received a copy of the GNU General Public License along
+# with this program; if not, write to the Free Software Foundation, Inc.,
+# 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
+
+from .scan import numpy as np
+from .scan import pandas as pd

Older Versions/yoshi-seals1.3.1/Seals/scan/scan.py

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+# Seals - Program made for educational intent, can be freely distributed
+# and can be used for economical intent. I will not take legal actions
+# unless my intelectual propperty, the code, is stolen or change without permission.  
+
+# Copyright (C) 2020  VItor Hideyoshi Nakazone Batista
+
+# This program is free software; you can redistribute it and/or modify
+# it under the terms of the GNU General Public License version 2 as published by
+# the Free Software Foundation.
+
+# This program is distributed in the hope that it will be useful,
+# but WITHOUT ANY WARRANTY; without even the implied warranty of
+# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+# GNU General Public License for more details.
+
+# You should have received a copy of the GNU General Public License along
+# with this program; if not, write to the Free Software Foundation, Inc.,
+# 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
+
+import numpy as np
+import pandas as pd
+
+def numpy(path, sep=None, decimal=None):
+
+    if sep is None:
+        sep = ","
+
+    if decimal is None:
+        decimal = "."
+
+    df=pd.read_csv(path, sep=sep, decimal=decimal, header=None)
+    array = df.to_numpy()
+
+    return array
+
+def pandas(path, sep=None, decimal=None):
+
+    if sep is None:
+        sep = ","
+
+    if decimal is None:
+        decimal = "."
+
+    return pd.read_csv(path, sep=sep, decimal=decimal)
+