|
1052 | 1052 | "editable": true |
1053 | 1053 | }, |
1054 | 1054 | "source": [ |
1055 | | - "Pandas provides a large set of **summary** functions that operate on different kinds of pandas objects (DataFrames, Series, Index) and produce single value. When applied to a DataFrame, the result is returned as a pandas Series (one value for each column). " |
| 1055 | + "Pandas provides a large set of **summary** functions that operate on different kinds of pandas objects (DataFrames, Series, Index) and produce a single value. When applied to a DataFrame, the result is returned as a pandas Series (one value for each column). " |
1056 | 1056 | ] |
1057 | 1057 | }, |
1058 | 1058 | { |
|
2280 | 2280 | "\\> | Greater than\n", |
2281 | 2281 | "\\>= | Greater than or equal\n", |
2282 | 2282 | "< | Lesser than\n", |
2283 | | - "!= | Lesser than or equal\n", |
| 2283 | + "<= | Lesser than or equal\n", |
2284 | 2284 | "\n", |
2285 | 2285 | "and to combine multiple conditions:\n", |
2286 | 2286 | "\n", |
|
2639 | 2639 | "\n", |
2640 | 2640 | "**EXERCISE**:\n", |
2641 | 2641 | "\n", |
2642 | | - "* What is the average popolation number of the districts?\n", |
| 2642 | + "* What is the average population number of the districts?\n", |
2643 | 2643 | "* And what is the median?\n", |
2644 | 2644 | "\n", |
2645 | 2645 | "<details>\n", |
|
3324 | 3324 | "\n", |
3325 | 3325 | "**EXERCISE**:\n", |
3326 | 3326 | "\n", |
3327 | | - "* Select all rows for the districts of the 1st arrondissement.\n", |
| 3327 | + "* Select all rows for the districts of the 3rd arrondissement.\n", |
3328 | 3328 | "* For this subset, what is the total population of the arrondissement?\n", |
3329 | 3329 | " \n", |
3330 | 3330 | "</div>" |
|
4209 | 4209 | "editable": true |
4210 | 4210 | }, |
4211 | 4211 | "source": [ |
4212 | | - "This is only an ultra short intro to matplotlib. In the course materials, you can find another notebook with some more details ([visualization_01_matplotlib.ipynb](visualization_01_matplotlib.ipynb#An-small-cheat-sheet-reference-for-some-common-elements))." |
| 4212 | + "This is only an ultra short intro to matplotlib. In the course materials, you can find another notebook with some more details ([visualization-01-matplotlib.ipynb](visualization-01-matplotlib.ipynb#An-small-cheat-sheet-reference-for-some-common-elements))." |
4213 | 4213 | ] |
4214 | 4214 | }, |
4215 | 4215 | { |
|
4225 | 4225 | "\n", |
4226 | 4226 | "Galleries are great to get inspiration, see the plot you want, and check the code how it is created:\n", |
4227 | 4227 | " \n", |
4228 | | - "* [matplotlib gallery](http://matplotlib.org/gallery.html\") is an important resource to start from\n", |
| 4228 | + "* [matplotlib gallery](http://matplotlib.org/gallery.html) is an important resource to start from\n", |
4229 | 4229 | "* [seaborn gallery](https://seaborn.pydata.org/examples/index.html)\n", |
4230 | 4230 | "* The Python Graph Gallery (https://python-graph-gallery.com/)\n", |
4231 | 4231 | "\n", |
|
5911 | 5911 | "name": "python", |
5912 | 5912 | "nbconvert_exporter": "python", |
5913 | 5913 | "pygments_lexer": "ipython3", |
5914 | | - "version": "3.8.5" |
| 5914 | + "version": "3.8.10" |
| 5915 | + }, |
| 5916 | + "widgets": { |
| 5917 | + "application/vnd.jupyter.widget-state+json": { |
| 5918 | + "state": {}, |
| 5919 | + "version_major": 2, |
| 5920 | + "version_minor": 0 |
| 5921 | + } |
5915 | 5922 | } |
5916 | 5923 | }, |
5917 | 5924 | "nbformat": 4, |
|
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