Open source release 1.1.3

Author: kilo52

CHANGELOG.md

@@ -1,3 +1,10 @@
+#### 1.1.3
+* Fixed erroneous setting of row items with \[\]-operator when the specified row index is out of bounds but within column capacity.
+* Fixed error resulting from inclusion of capacity buffer range in unique() method.
+* Improved performance of absolute() method.
+* Improved performance of ceil() method.
+* Improved performance of floor() method.
+
 #### 1.1.2
 * Changed loop in remove\_column\_names() method.
 * Fixed incorrect reading of CSV files with blank (empty) lines.

README.md

@@ -27,16 +27,20 @@ Alternatively, you can import all concrete Column types directly, for example:
 ```python
 from raven.struct.dataframe import (DefaultDataFrame,
                                     IntColumn,
-                                    FloatColumn,
+                                    DoubleColumn,
                                     StringColumn)
 
 # create a DataFrame with 3 columns and 3 rows
 df = DefaultDataFrame(
         IntColumn("A", [1, 2, 3]),
-        FloatColumn("B", [4.4, 5.5, 6.6]),
+        DoubleColumn("B", [4.4, 5.5, 6.6]),
         StringColumn("C", ["cat", "dog", "horse"]))
 
 print(df)
+# _| A B   C
+# 0| 1 4.4 cat
+# 1| 2 5.5 dog
+# 2| 3 6.6 horse
 ```
 
 ## Compatibility

pypi.md

@@ -21,16 +21,20 @@ Alternatively, you can import all concrete Column types directly, for example:
 ```python
 from raven.struct.dataframe import (DefaultDataFrame,
                                     IntColumn,
-                                    FloatColumn,
+                                    DoubleColumn,
                                     StringColumn)
 
 # create a DataFrame with 3 columns and 3 rows
 df = DefaultDataFrame(
         IntColumn("A", [1, 2, 3]),
-        FloatColumn("B", [4.4, 5.5, 6.6]),
+        DoubleColumn("B", [4.4, 5.5, 6.6]),
         StringColumn("C", ["cat", "dog", "horse"]))
 
 print(df)
+# _| A B   C
+# 0| 1 4.4 cat
+# 1| 2 5.5 dog
+# 2| 3 6.6 horse
 ```
 
 ## Compatibility

raven/io/dataframe/__init__.py

@@ -1,4 +1,4 @@
-# Copyright 2021 Raven Computing
+# Copyright (C) 2022 Raven Computing
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.

raven/io/dataframe/csvfiles.py

@@ -1,4 +1,4 @@
-# Copyright (C) 2021 Raven Computing
+# Copyright (C) 2022 Raven Computing
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -66,7 +66,7 @@ def read(filepath, separator=",", header=True, encoding="utf-8", types=None):
     For example:
 
       >>> import raven.io.csvfiles as csv
-      >>> df = csv.read("myfile.csv", types=("string", int", "float", "boolean"))
+      >>> df = csv.read("myfile.csv", types=("string", "int", "float", "boolean"))
 
     The above code will read a CSV-file named 'myfile.csv' and return a DataFrame
     with the first Column as a StringColumn, the second Column as an IntColumn,

raven/io/dataframe/dataframes.py

@@ -1,4 +1,4 @@
-# Copyright (C) 2021 Raven Computing
+# Copyright (C) 2022 Raven Computing
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.

raven/struct/dataframe/__init__.py

@@ -1,4 +1,4 @@
-# Copyright 2021 Raven Computing
+# Copyright (C) 2022 Raven Computing
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.

raven/struct/dataframe/_columnutils.py

@@ -1,4 +1,4 @@
-# Copyright (C) 2021 Raven Computing
+# Copyright (C) 2022 Raven Computing
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.

raven/struct/dataframe/_dataframeutils.py

@@ -1,4 +1,4 @@
-# Copyright (C) 2021 Raven Computing
+# Copyright (C) 2022 Raven Computing
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -947,6 +947,10 @@ def setitem_impl(arg, position, value):
 
                     rows = rows % arg.rows()
 
+                if rows >= arg.rows():
+                    raise dataframe.DataFrameException(
+                            "Invalid row index: {}".format(rows))
+
                 if isinstance(value, (tuple, list)):
                     # implements df[(x0, x1, ..., xn), y] = [v0, v1, ..., vn]
                     # and        df[x0:x1:x2, y] = [v0, v1, ..., vn]
@@ -965,6 +969,7 @@ def setitem_impl(arg, position, value):
                             ("Invalid value argument. The specified list/tuple "
                              "of row values is empty"))
 
+                    nrows = arg.rows() # cache the number of rows
                     if isinstance(value[0], (list, tuple)):
                         if len(rows) != len(value):
                             raise dataframe.DataFrameException(
@@ -973,9 +978,21 @@ def setitem_impl(arg, position, value):
                                  "has a size of {}").format(len(value), len(rows)))
 
                         for i, index in enumerate(rows):
+                            # safety bounds check
+                            if index >= nrows:
+                                raise dataframe.DataFrameException(
+                                    "Invalid row index within "
+                                    "specified sequence: {}".format(index))
+
                             cols_selected.set_row(index, value[i])
                     else:
                         for index in rows:
+                            # safety bounds check
+                            if index >= nrows:
+                                raise dataframe.DataFrameException(
+                                    "Invalid row index within "
+                                    "specified sequence: {}".format(index))
+
                             cols_selected.set_row(index, value)
 
                 elif isinstance(value, dataframe.DataFrame):

raven/struct/dataframe/binarycolumn.py

@@ -1,4 +1,4 @@
-# Copyright (C) 2021 Raven Computing
+# Copyright (C) 2022 Raven Computing
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.