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chrisalbonchrisalbon
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added a conversion to time snippit
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-4
lines changed

‎.ipynb_checkpoints/pandas_convert_to_datetime-checkpoint.ipynb

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"# Convert A Variable To A Time Variable In Pandas\n",
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"\n",
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"- **Author:** [Chris Albon](http://www.chrisalbon.com/), [@ChrisAlbon](https://twitter.com/chrisalbon)\n",
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"- **Date:** -\n",
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"- **Repo:** [Python 3 code snippets for data science](https://github.com/chrisalbon/code_py)\n",
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"- **Note:**"
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"# Import Preliminaries\n",
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"import pandas as pd"
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"# Create a dataset with the index being a set of names\n",
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"raw_data = {'date': ['2014-06-01T01:21:38.004053', '2014-06-02T01:21:38.004053', '2014-06-03T01:21:38.004053'],\n",
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" 'score': [25, 94, 57]}\n",
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"df = pd.DataFrame(raw_data, columns = ['date', 'score'])\n",
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"<table border=\"1\" class=\"dataframe\">\n",
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" <th></th>\n",
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" <th>date</th>\n",
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" <td> 2014-06-01T01:21:38.004053</td>\n",
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" <td> 25</td>\n",
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" <th>1</th>\n",
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" <th>2</th>\n",
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" <td> 2014-06-03T01:21:38.004053</td>\n",
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" <td> 57</td>\n",
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" date score\n",
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"0 2014-06-01T01:21:38.004053 25\n",
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"1 2014-06-02T01:21:38.004053 94\n",
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"2 2014-06-03T01:21:38.004053 57"
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"# Transpose the dataset, so that the index (in this case the names) are columns\n",
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"df[\"date\"] = pd.to_datetime(df[\"date\"])"
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" <th>2014-06-01 01:21:38.004053</th>\n",
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" <td>2014-06-01 01:21:38.004053</td>\n",
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" <td> 25</td>\n",
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" <th>2014-06-02 01:21:38.004053</th>\n",
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" <td>2014-06-02 01:21:38.004053</td>\n",
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" <td> 94</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>2014-06-03 01:21:38.004053</th>\n",
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" <td>2014-06-03 01:21:38.004053</td>\n",
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" <td> 57</td>\n",
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" </tr>\n",
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" </tbody>\n",
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"</table>\n",
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"</div>"
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" date score\n",
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"date \n",
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"2014-06-01 01:21:38.004053 2014-06-01 01:21:38.004053 25\n",
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"2014-06-02 01:21:38.004053 2014-06-02 01:21:38.004053 94\n",
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‎.ipynb_checkpoints/pandas_transpose_dataframe-checkpoint.ipynb

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@@ -12,7 +12,7 @@
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"source": [
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"# Transpose A Dataframe in Pandas\n",
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"# Transpose A Dataframe In Pandas\n",
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"\n",
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"- **Author:** [Chris Albon](http://www.chrisalbon.com/), [@ChrisAlbon](https://twitter.com/chrisalbon)\n",
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"- **Date:** -\n",

‎pandas_convert_to_datetime.ipynb

+187
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"# Convert A Variable To A Time Variable In Pandas\n",
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"\n",
17+
"- **Author:** [Chris Albon](http://www.chrisalbon.com/), [@ChrisAlbon](https://twitter.com/chrisalbon)\n",
18+
"- **Date:** -\n",
19+
"- **Repo:** [Python 3 code snippets for data science](https://github.com/chrisalbon/code_py)\n",
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"- **Note:**"
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"cell_type": "code",
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" 'score': [25, 94, 57]}\n",
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"df = pd.DataFrame(raw_data, columns = ['date', 'score'])\n",
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" <th>2014-06-02 01:21:38.004053</th>\n",
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" <td>2014-06-02 01:21:38.004053</td>\n",
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" <th>2014-06-03 01:21:38.004053</th>\n",
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" date score\n",
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