From f07f6ff4f2eba1c6634310415e065b45beb24e06 Mon Sep 17 00:00:00 2001
From: DominikBerger01 <41689534+DominikBerger01@users.noreply.github.com>
Date: Fri, 26 May 2023 11:04:09 +0200
Subject: [PATCH 1/2] fix documentation build error in basics.rst

---
 doc/source/user_guide/basics.rst | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/doc/source/user_guide/basics.rst b/doc/source/user_guide/basics.rst
index 7335f1cb066ce..57cfb2042d8ff 100644
--- a/doc/source/user_guide/basics.rst
+++ b/doc/source/user_guide/basics.rst
@@ -2121,6 +2121,9 @@ different numeric dtypes will **NOT** be combined. The following example will gi
 
 .. ipython:: python
 
+   @suppress
+   np.random.seed(2358)
+
    df1 = pd.DataFrame(np.random.randn(8, 1), columns=["A"], dtype="float32")
    df1
    df1.dtypes

From adcb03ecaf3e0d144243028fdcda951a9cf757dc Mon Sep 17 00:00:00 2001
From: DominikBerger01 <41689534+DominikBerger01@users.noreply.github.com>
Date: Fri, 26 May 2023 19:57:35 +0200
Subject: [PATCH 2/2] remove need for seed and gen random np array from range
 (0,255)

---
 doc/source/user_guide/basics.rst | 5 +----
 1 file changed, 1 insertion(+), 4 deletions(-)

diff --git a/doc/source/user_guide/basics.rst b/doc/source/user_guide/basics.rst
index 57cfb2042d8ff..a8afb05bc5200 100644
--- a/doc/source/user_guide/basics.rst
+++ b/doc/source/user_guide/basics.rst
@@ -2121,9 +2121,6 @@ different numeric dtypes will **NOT** be combined. The following example will gi
 
 .. ipython:: python
 
-   @suppress
-   np.random.seed(2358)
-
    df1 = pd.DataFrame(np.random.randn(8, 1), columns=["A"], dtype="float32")
    df1
    df1.dtypes
@@ -2131,7 +2128,7 @@ different numeric dtypes will **NOT** be combined. The following example will gi
        {
            "A": pd.Series(np.random.randn(8), dtype="float16"),
            "B": pd.Series(np.random.randn(8)),
-           "C": pd.Series(np.array(np.random.randn(8), dtype="uint8")),
+           "C": pd.Series(np.random.randint(0, 255, size=8), dtype="uint8"),  # [0,255] (range of uint8)
        }
    )
    df2