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				https://github.com/ChristopherA/Learning-Bitcoin-from-the-Command-Line.git
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	removing np import, re-running output
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				| @ -5,7 +5,7 @@ | |||||||
|     "colab": { |     "colab": { | ||||||
|       "name": "Untitled25.ipynb", |       "name": "Untitled25.ipynb", | ||||||
|       "provenance": [], |       "provenance": [], | ||||||
|       "authorship_tag": "ABX9TyOJqhnf6/YgfQMx6pfh6Fth", |       "authorship_tag": "ABX9TyMioTaWOtZ3dcIebltCT4IN", | ||||||
|       "include_colab_link": true |       "include_colab_link": true | ||||||
|     }, |     }, | ||||||
|     "kernelspec": { |     "kernelspec": { | ||||||
| @ -33,11 +33,10 @@ | |||||||
|         "id": "kT4wyWuy2szs" |         "id": "kT4wyWuy2szs" | ||||||
|       }, |       }, | ||||||
|       "source": [ |       "source": [ | ||||||
|         "import numpy as np\n", |  | ||||||
|         "import os\n", |         "import os\n", | ||||||
|         "import pandas as pd" |         "import pandas as pd" | ||||||
|       ], |       ], | ||||||
|       "execution_count": 7, |       "execution_count": 1, | ||||||
|       "outputs": [] |       "outputs": [] | ||||||
|     }, |     }, | ||||||
|     { |     { | ||||||
| @ -47,7 +46,7 @@ | |||||||
|           "base_uri": "https://localhost:8080/" |           "base_uri": "https://localhost:8080/" | ||||||
|         }, |         }, | ||||||
|         "id": "9J62Uh4H2Y9g", |         "id": "9J62Uh4H2Y9g", | ||||||
|         "outputId": "f4147b98-f72a-4ad2-8b5b-c3bb9f0c86db" |         "outputId": "0ac3147d-fdb4-4b9c-d96b-4da334730a93" | ||||||
|       }, |       }, | ||||||
|       "source": [ |       "source": [ | ||||||
|         "!git clone https://github.com/icculp/Learning-Bitcoin-from-the-Command-Line.git" |         "!git clone https://github.com/icculp/Learning-Bitcoin-from-the-Command-Line.git" | ||||||
| @ -58,12 +57,12 @@ | |||||||
|           "output_type": "stream", |           "output_type": "stream", | ||||||
|           "text": [ |           "text": [ | ||||||
|             "Cloning into 'Learning-Bitcoin-from-the-Command-Line'...\n", |             "Cloning into 'Learning-Bitcoin-from-the-Command-Line'...\n", | ||||||
|             "remote: Enumerating objects: 6634, done.\u001b[K\n", |             "remote: Enumerating objects: 6637, done.\u001b[K\n", | ||||||
|             "remote: Counting objects: 100% (238/238), done.\u001b[K\n", |             "remote: Counting objects: 100% (241/241), done.\u001b[K\n", | ||||||
|             "remote: Compressing objects: 100% (196/196), done.\u001b[K\n", |             "remote: Compressing objects: 100% (199/199), done.\u001b[K\n", | ||||||
|             "remote: Total 6634 (delta 109), reused 82 (delta 42), pack-reused 6396\u001b[K\n", |             "remote: Total 6637 (delta 110), reused 82 (delta 42), pack-reused 6396\u001b[K\n", | ||||||
|             "Receiving objects: 100% (6634/6634), 7.53 MiB | 13.87 MiB/s, done.\n", |             "Receiving objects: 100% (6637/6637), 7.53 MiB | 18.46 MiB/s, done.\n", | ||||||
|             "Resolving deltas: 100% (4068/4068), done.\n" |             "Resolving deltas: 100% (4069/4069), done.\n" | ||||||
|           ], |           ], | ||||||
|           "name": "stdout" |           "name": "stdout" | ||||||
|         } |         } | ||||||
| @ -103,7 +102,7 @@ | |||||||
|         "        # print(chapter, count)\n", |         "        # print(chapter, count)\n", | ||||||
|         "    return pd.DataFrame(counts, columns=columns)" |         "    return pd.DataFrame(counts, columns=columns)" | ||||||
|       ], |       ], | ||||||
|       "execution_count": 35, |       "execution_count": 3, | ||||||
|       "outputs": [] |       "outputs": [] | ||||||
|     }, |     }, | ||||||
|     { |     { | ||||||
| @ -115,7 +114,7 @@ | |||||||
|         "chapter_word_counts = count_words()\n", |         "chapter_word_counts = count_words()\n", | ||||||
|         "chapter_word_counts.sort_values(by=['Chapter'], inplace=True)" |         "chapter_word_counts.sort_values(by=['Chapter'], inplace=True)" | ||||||
|       ], |       ], | ||||||
|       "execution_count": 38, |       "execution_count": 4, | ||||||
|       "outputs": [] |       "outputs": [] | ||||||
|     }, |     }, | ||||||
|     { |     { | ||||||
| @ -126,13 +125,13 @@ | |||||||
|           "height": 631 |           "height": 631 | ||||||
|         }, |         }, | ||||||
|         "id": "IPkG4oQJ6f1e", |         "id": "IPkG4oQJ6f1e", | ||||||
|         "outputId": "d057cf19-4d40-477a-964c-d2b6154e1e73" |         "outputId": "eea2f4b6-c3d3-48b5-dc62-97885c18d48d" | ||||||
|       }, |       }, | ||||||
|       "source": [ |       "source": [ | ||||||
|         "from google.colab import data_table\n", |         "from google.colab import data_table\n", | ||||||
|         "data_table.DataTable(chapter_word_counts, include_index=False)" |         "data_table.DataTable(chapter_word_counts, include_index=False)" | ||||||
|       ], |       ], | ||||||
|       "execution_count": 39, |       "execution_count": 5, | ||||||
|       "outputs": [ |       "outputs": [ | ||||||
|         { |         { | ||||||
|           "output_type": "execute_result", |           "output_type": "execute_result", | ||||||
| @ -229,7 +228,7 @@ | |||||||
|           "metadata": { |           "metadata": { | ||||||
|             "tags": [] |             "tags": [] | ||||||
|           }, |           }, | ||||||
|           "execution_count": 39 |           "execution_count": 5 | ||||||
|         } |         } | ||||||
|       ] |       ] | ||||||
|     }, |     }, | ||||||
| @ -240,13 +239,13 @@ | |||||||
|           "base_uri": "https://localhost:8080/" |           "base_uri": "https://localhost:8080/" | ||||||
|         }, |         }, | ||||||
|         "id": "4dFD792BBy0S", |         "id": "4dFD792BBy0S", | ||||||
|         "outputId": "945da188-2d3b-4061-8f23-08e39e6f97f4" |         "outputId": "3c4dc4ff-ceb3-4ff5-d40d-c606eec83a8c" | ||||||
|       }, |       }, | ||||||
|       "source": [ |       "source": [ | ||||||
|         "total_count = chapter_word_counts['Word Count'].sum()\n", |         "total_count = chapter_word_counts['Word Count'].sum()\n", | ||||||
|         "total_count" |         "total_count" | ||||||
|       ], |       ], | ||||||
|       "execution_count": 44, |       "execution_count": 6, | ||||||
|       "outputs": [ |       "outputs": [ | ||||||
|         { |         { | ||||||
|           "output_type": "execute_result", |           "output_type": "execute_result", | ||||||
| @ -258,7 +257,7 @@ | |||||||
|           "metadata": { |           "metadata": { | ||||||
|             "tags": [] |             "tags": [] | ||||||
|           }, |           }, | ||||||
|           "execution_count": 44 |           "execution_count": 6 | ||||||
|         } |         } | ||||||
|       ] |       ] | ||||||
|     } |     } | ||||||
|  | |||||||
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