simplified displaying of values in examples

Author: Matt52

examples/dice_rolls_ab_testing.ipynb

@@ -13,6 +13,7 @@
     "InteractiveShell.ast_node_interactivity = \"all\"\n",
     "\n",
     "import numpy as np\n",
+    "np.set_printoptions(legacy=\"1.25\")\n",
     "import pandas as pd\n",
     "from bayesian_testing.experiments import DiscreteDataTest"
    ]
@@ -262,7 +263,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.17"
+   "version": "3.10.12"
   }
  },
  "nbformat": 4,

examples/goals_scored_ab_testing.ipynb

@@ -28,7 +28,7 @@
     {
      "data": {
       "text/plain": [
-       "Generator(PCG64) at 0x1310379E0"
+       "Generator(PCG64) at 0x111F9C660"
       ]
      },
      "execution_count": 2,
@@ -101,11 +101,11 @@
       "+-----------+----------+--------------+--------------------+------------------+------------------------+-------------------+-----------------+\n",
       "| variant   |   totals |   sum_values |   observed_average |   posterior_mean | credible_interval      |   prob_being_best |   expected_loss |\n",
       "+===========+==========+==============+====================+==================+========================+===================+=================+\n",
-      "| psg       |       15 |           43 |            2.86667 |          2.8543  | [2.0584772, 3.7737209] |           0.25055 |        0.505673 |\n",
+      "| psg       |       15 |           43 |            2.86667 |          2.8543  | [2.0701365, 3.7817813] |           0.24485 |        0.512094 |\n",
       "+-----------+----------+--------------+--------------------+------------------+------------------------+-------------------+-----------------+\n",
-      "| city      |       14 |           40 |            2.85714 |          2.5     | [1.9055285, 3.1672732] |           0.0448  |        0.862359 |\n",
+      "| city      |       14 |           40 |            2.85714 |          2.5     | [1.9035733, 3.1737824] |           0.04655 |        0.870001 |\n",
       "+-----------+----------+--------------+--------------------+------------------+------------------------+-------------------+-----------------+\n",
-      "| bayern    |       15 |           49 |            3.26667 |          3.25166 | [2.4096052, 4.1974157] |           0.70465 |        0.112236 |\n",
+      "| bayern    |       15 |           49 |            3.26667 |          3.25166 | [2.4038302, 4.2176997] |           0.7086  |        0.109746 |\n",
       "+-----------+----------+--------------+--------------------+------------------+------------------------+-------------------+-----------------+\n"
      ]
     }
@@ -132,11 +132,11 @@
       "+-----------+----------+--------------+--------------------+------------------+------------------------+-------------------+-----------------+\n",
       "| variant   |   totals |   sum_values |   observed_average |   posterior_mean | credible_interval      |   prob_being_best |   expected_loss |\n",
       "+===========+==========+==============+====================+==================+========================+===================+=================+\n",
-      "| psg       |       15 |            9 |            0.6     |          0.60265 | [0.2155696, 1.2316701] |           0.7528  |       0.0429958 |\n",
+      "| psg       |       15 |            9 |            0.6     |          0.60265 | [0.2140532, 1.2324781] |           0.756   |       0.0425375 |\n",
       "+-----------+----------+--------------+--------------------+------------------+------------------------+-------------------+-----------------+\n",
-      "| city      |       14 |           14 |            1       |          1       | [0.4372915, 1.8002024] |           0.07635 |       0.438615  |\n",
+      "| city      |       14 |           14 |            1       |          1       | [0.4487859, 1.8478473] |           0.07585 |       0.439937  |\n",
       "+-----------+----------+--------------+--------------------+------------------+------------------------+-------------------+-----------------+\n",
-      "| bayern    |       15 |           13 |            0.86667 |          0.86755 | [0.3716345, 1.6041345] |           0.17085 |       0.308254  |\n",
+      "| bayern    |       15 |           13 |            0.86667 |          0.86755 | [0.3680665, 1.6067354] |           0.16815 |       0.30884   |\n",
       "+-----------+----------+--------------+--------------------+------------------+------------------------+-------------------+-----------------+\n"
      ]
     }
@@ -173,7 +173,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.17"
+   "version": "3.10.12"
   }
  },
  "nbformat": 4,

examples/session_data_manual_pbbs.ipynb

@@ -13,6 +13,7 @@
     "InteractiveShell.ast_node_interactivity = \"all\"\n",
     "\n",
     "import numpy as np\n",
+    "np.set_printoptions(legacy=\"1.25\")\n",
     "import pandas as pd\n",
     "from bayesian_testing.metrics import eval_bernoulli_agg, eval_delta_lognormal_agg"
    ]
@@ -480,7 +481,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.17"
+   "version": "3.10.12"
   }
  },
  "nbformat": 4,

examples/waiting_time_ab_testing.ipynb

@@ -13,6 +13,7 @@
     "InteractiveShell.ast_node_interactivity = \"all\"\n",
     "\n",
     "import numpy as np\n",
+    "np.set_printoptions(legacy=\"1.25\")\n",
     "import pandas as pd\n",
     "from bayesian_testing.experiments import ExponentialDataTest"
    ]
@@ -173,7 +174,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.17"
+   "version": "3.10.12"
   }
  },
  "nbformat": 4,