diff --git a/pandas-0.24.1.tar.gz b/pandas-0.24.1.tar.gz
deleted file mode 100644
index 120912d..0000000
--- a/pandas-0.24.1.tar.gz
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:435821cb2501eabbcee7e83614bd710940dc0cf28b5afbc4bdb816c31cec71af
-size 11832827
diff --git a/pandas-0.24.2.tar.gz b/pandas-0.24.2.tar.gz
new file mode 100644
index 0000000..2615654
--- /dev/null
+++ b/pandas-0.24.2.tar.gz
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4f919f409c433577a501e023943e582c57355d50a724c589e78bc1d551a535a2
+size 11837693
diff --git a/python-pandas.changes b/python-pandas.changes
index 37c4e9f..4d9f7f3 100644
--- a/python-pandas.changes
+++ b/python-pandas.changes
@@ -1,3 +1,84 @@
+-------------------------------------------------------------------
+Sat Mar 16 22:35:08 UTC 2019 - Arun Persaud <arun@gmx.de>
+
+- specfile:
+  * requier pytest-mock
+
+- update to version 0.24.2:
+  * Fixed Regressions
+    + Fixed regression in DataFrame.all() and DataFrame.any() where
+      bool_only=True was ignored (GH25101)
+    + Fixed issue in DataFrame construction with passing a mixed list
+      of mixed types could segfault. (GH25075)
+    + Fixed regression in DataFrame.apply() causing RecursionError
+      when dict-like classes were passed as argument. (GH25196)
+    + Fixed regression in DataFrame.replace() where regex=True was
+      only replacing patterns matching the start of the string
+      (GH25259)
+    + Fixed regression in DataFrame.duplicated(), where empty
+      dataframe was not returning a boolean dtyped Series. (GH25184)
+    + Fixed regression in Series.min() and Series.max() where
+      numeric_only=True was ignored when the Series contained
+      Categorical data (GH25299)
+    + Fixed regression in subtraction between Series objects with
+      datetime64[ns] dtype incorrectly raising OverflowError when the
+      Series on the right contains null values (GH25317)
+    + Fixed regression in TimedeltaIndex where np.sum(index)
+      incorrectly returned a zero-dimensional object instead of a
+      scalar (GH25282)
+    + Fixed regression in IntervalDtype construction where passing an
+      incorrect string with ‘Interval’ as a prefix could result in a
+      RecursionError. (GH25338)
+    + Fixed regression in creating a period-dtype array from a
+      read-only NumPy array of period objects. (GH25403)
+    + Fixed regression in Categorical, where constructing it from a
+      categorical Series and an explicit categories= that differed
+      from that in the Series created an invalid object which could
+      trigger segfaults. (GH25318)
+    + Fixed regression in to_timedelta() losing precision when
+      converting floating data to Timedelta data (GH25077).
+    + Fixed pip installing from source into an environment without
+      NumPy (GH25193)
+    + Fixed regression in DataFrame.replace() where large strings of
+      numbers would be coerced into int64, causing an OverflowError
+      (GH25616)
+    + Fixed regression in factorize() when passing a custom
+      na_sentinel value with sort=True (GH25409).
+    + Fixed regression in DataFrame.to_csv() writing duplicate line
+      endings with gzip compress (GH25311)
+  * Bug Fixes
+    + I/O
+      o Better handling of terminal printing when the terminal
+        dimensions are not known (GH25080)
+      o Bug in reading a HDF5 table-format DataFrame created in Python
+        2, in Python 3 (GH24925)
+      o Bug in reading a JSON with orient='table' generated by
+        DataFrame.to_json() with index=False (GH25170)
+      o Bug where float indexes could have misaligned values when
+        printing (GH25061)
+    + Reshaping
+      o Bug in transform() where applying a function to a timezone aware
+        column would return a timezone naive result (GH24198)
+      o Bug in DataFrame.join() when joining on a timezone aware
+        DatetimeIndex (GH23931)
+      o Visualization
+      o Bug in Series.plot() where a secondary y axis could not be set
+        to log scale (GH25545)
+    + Other
+      o Bug in Series.is_unique() where single occurrences of NaN were
+        not considered unique (GH25180)
+      o Bug in merge() when merging an empty DataFrame with an Int64
+        column or a non-empty DataFrame with an Int64 column that is all
+        NaN (GH25183)
+      o Bug in IntervalTree where a RecursionError occurs upon
+        construction due to an overflow when adding endpoints, which
+        also causes IntervalIndex to crash during indexing operations
+        (GH25485)
+      o Bug in Series.size raising for some extension-array-backed
+        Series, rather than returning the size (GH25580)
+      o Bug in resampling raising for nullable integer-dtype columns
+        (GH25580)
+
 -------------------------------------------------------------------
 Fri Feb 22 10:22:38 UTC 2019 - Tomáš Chvátal <tchvatal@suse.com>
 
diff --git a/python-pandas.spec b/python-pandas.spec
index 4043f17..b25ec9d 100644
--- a/python-pandas.spec
+++ b/python-pandas.spec
@@ -19,7 +19,7 @@
 %{?!python_module:%define python_module() python-%{**} python3-%{**}}
 %define         oldpython python
 Name:           python-pandas
-Version:        0.24.1
+Version:        0.24.2
 Release:        0
 Summary:        Python module for working with "relational" or "labeled" data
 License:        BSD-3-Clause
@@ -36,6 +36,7 @@ BuildRequires:  %{python_module hypothesis}
 BuildRequires:  %{python_module lxml}
 BuildRequires:  %{python_module nose}
 BuildRequires:  %{python_module numpy-devel >= 1.15.0}
+BuildRequires:  %{python_module pytest-mock}
 BuildRequires:  %{python_module pytest}
 BuildRequires:  %{python_module python-dateutil >= 2.5}
 BuildRequires:  %{python_module pytz >= 2011k}