flywithu/Learning-Bitcoin-from-the-Command-Line
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removing np import, re-running output

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This commit is contained in:
Ian Culp 2021-06-11 21:27:53 -05:00
parent 098666fc68
commit 85df221a79
1 changed files with 17 additions and 18 deletions
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35
word_count.ipynb
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@ -5,7 +5,7 @@
"colab": {
"name": "Untitled25.ipynb",
"provenance": [],
"authorship_tag": "ABX9TyOJqhnf6/YgfQMx6pfh6Fth",
"authorship_tag": "ABX9TyMioTaWOtZ3dcIebltCT4IN",
"include_colab_link": true
},
"kernelspec": {
@ -33,11 +33,10 @@
"id": "kT4wyWuy2szs"
},
"source": [
"import numpy as np\n",
"import os\n",
"import pandas as pd"
],
"execution_count": 7,
"execution_count": 1,
"outputs": []
},
{
@ -47,7 +46,7 @@
"base_uri": "https://localhost:8080/"
},
"id": "9J62Uh4H2Y9g",
"outputId": "f4147b98-f72a-4ad2-8b5b-c3bb9f0c86db"
"outputId": "0ac3147d-fdb4-4b9c-d96b-4da334730a93"
},
"source": [
"!git clone https://github.com/icculp/Learning-Bitcoin-from-the-Command-Line.git"
@ -58,12 +57,12 @@
"output_type": "stream",
"text": [
"Cloning into 'Learning-Bitcoin-from-the-Command-Line'...\n",
"remote: Enumerating objects: 6634, done.\u001b[K\n",
"remote: Counting objects: 100% (238/238), done.\u001b[K\n",
"remote: Compressing objects: 100% (196/196), done.\u001b[K\n",
"remote: Total 6634 (delta 109), reused 82 (delta 42), pack-reused 6396\u001b[K\n",
"Receiving objects: 100% (6634/6634), 7.53 MiB | 13.87 MiB/s, done.\n",
"Resolving deltas: 100% (4068/4068), done.\n"
"remote: Enumerating objects: 6637, done.\u001b[K\n",
"remote: Counting objects: 100% (241/241), done.\u001b[K\n",
"remote: Compressing objects: 100% (199/199), done.\u001b[K\n",
"remote: Total 6637 (delta 110), reused 82 (delta 42), pack-reused 6396\u001b[K\n",
"Receiving objects: 100% (6637/6637), 7.53 MiB | 18.46 MiB/s, done.\n",
"Resolving deltas: 100% (4069/4069), done.\n"
],
"name": "stdout"
}
@ -103,7 +102,7 @@
" # print(chapter, count)\n",
" return pd.DataFrame(counts, columns=columns)"
],
"execution_count": 35,
"execution_count": 3,
"outputs": []
},
{
@ -115,7 +114,7 @@
"chapter_word_counts = count_words()\n",
"chapter_word_counts.sort_values(by=['Chapter'], inplace=True)"
],
"execution_count": 38,
"execution_count": 4,
"outputs": []
},
{
@ -126,13 +125,13 @@
"height": 631
},
"id": "IPkG4oQJ6f1e",
"outputId": "d057cf19-4d40-477a-964c-d2b6154e1e73"
"outputId": "eea2f4b6-c3d3-48b5-dc62-97885c18d48d"
},
"source": [
"from google.colab import data_table\n",
"data_table.DataTable(chapter_word_counts, include_index=False)"
],
"execution_count": 39,
"execution_count": 5,
"outputs": [
{
"output_type": "execute_result",
@ -229,7 +228,7 @@
"metadata": {
"tags": []
},
"execution_count": 39
"execution_count": 5
}
]
},
@ -240,13 +239,13 @@
"base_uri": "https://localhost:8080/"
},
"id": "4dFD792BBy0S",
"outputId": "945da188-2d3b-4061-8f23-08e39e6f97f4"
"outputId": "3c4dc4ff-ceb3-4ff5-d40d-c606eec83a8c"
},
"source": [
"total_count = chapter_word_counts['Word Count'].sum()\n",
"total_count"
],
"execution_count": 44,
"execution_count": 6,
"outputs": [
{
"output_type": "execute_result",
@ -258,7 +257,7 @@
"metadata": {
"tags": []
},
"execution_count": 44
"execution_count": 6
}
]
}