removing np import, re-running output

This commit is contained in:
Ian Culp 2021-06-11 21:27:53 -05:00
parent 098666fc68
commit 85df221a79

View File

@ -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
} }
] ]
} }