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enabled syntax highlighting #21

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14 changes: 7 additions & 7 deletions README.md
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Original file line number Diff line number Diff line change
Expand Up @@ -15,7 +15,7 @@ pip install mapsplotlib

You need to have a Google Static Maps API key, go to https://console.cloud.google.com/google/maps-apis, create a project, enable Google Static Maps API and get your API key. Billing details have to be enabled for your account for the API calls to succeed.
Before plotting maps, you'll have to register your key (only once for each session you start):
```
```python
from mapsplotlib import mapsplot as mplt

mplt.register_api_key('your_google_api_key_here')
Expand All @@ -40,7 +40,7 @@ Simply plotting markers on a map. Consider a pandas DataFrame `df` defined as fo
```

Simply use (assuming `mapsplot` was imported already, and your key registered)
```
```python
mplt.plot_markers(df)
```
will produce
Expand All @@ -51,7 +51,7 @@ will produce

The only thing you need is a pandas DataFrame `df` containing a `'latitude'` and a `'longitude'` columns, describing locations.

```
```python
mplt.density_plot(df['latitude'], df['longitude'])
```

Expand All @@ -61,7 +61,7 @@ mplt.density_plot(df['latitude'], df['longitude'])

This time your pandas DataFrame `df` will need an extra `'value'` column, describing the metric you want to plot (you may have to normalize it properly for a good rendering).

```
```python
mplt.heatmap(df['latitude'], df['longitude'], df['value'])
```
![Heat Map](https://github.com/tcassou/mapsplotlib/blob/master/examples/heatmap.png)
Expand All @@ -70,7 +70,7 @@ mplt.heatmap(df['latitude'], df['longitude'], df['value'])

Let's assume your pandas DataFrame `df` has a numerical `'cluster'` column, describing clusters of geographical points. You can produce plots like the following:

```
```python
mplt.scatter(df['latitude'], df['longitude'], colors=df['cluster'])
```
![Scatter Plot](https://github.com/tcassou/mapsplotlib/blob/master/examples/clusters.png)
Expand All @@ -79,7 +79,7 @@ mplt.scatter(df['latitude'], df['longitude'], colors=df['cluster'])

Still with the same DataFrame `df` and its `'cluster'` column, plotting clusters and their convex hull.

```
```python
mplt.polygons(df['latitude'], df['longitude'], df['cluster'])
```
![Polygons Plot](https://github.com/tcassou/mapsplotlib/blob/master/examples/polygons.png)
Expand All @@ -88,7 +88,7 @@ mplt.polygons(df['latitude'], df['longitude'], df['cluster'])

Given a DataFrame `df` with `'latitude'` & `'longitude'` columns, plotting a line joining all `(lat, lon)` pairs (with the option to close the line).

```
```python
mplt.polyline(df['latitude'], df['longitude'], closed=True)
```
![Polyline Plot](https://github.com/tcassou/mapsplotlib/blob/master/examples/polyline.png)
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