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Added language styles to README code blocks #41

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14 changes: 7 additions & 7 deletions README.md
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Expand Up @@ -11,12 +11,12 @@ A small library for creating pretty heatmaps of daily data.


### Install
```
```bash
$ pip install july
```

### Usage
```
```py
import numpy as np
import matplotlib.pyplot as plt
import july
Expand All @@ -25,17 +25,17 @@ from july.utils import date_range
dates = date_range("2020-01-01", "2020-12-31")
data = np.random.randint(0, 14, len(dates))
```
```
```py
# GitHub Activity like plot (for someone with consistently random work patterns).
july.heatmap(dates, data, title='Github Activity', cmap="github")
```
![GitHub heatmap](https://github.com/e-hulten/july/blob/master/examples/heatmap_github.jpg?raw=true)
```
```py
# Here, 'osl_df' is a pandas df.
july.heatmap(osl_df.date, osl_df.temp, cmap="golden", colorbar=True, title="Average temperatures: Oslo , Norway")
```
![Golden heatmap](https://github.com/e-hulten/july/blob/master/examples/pandas_oslo_temperature_plot.jpg?raw=true)
```
```py
# More exhaustive example using useless, but pretty colours.
july.heatmap(dates=dates,
data=data,
Expand All @@ -56,14 +56,14 @@ july.heatmap(dates=dates,
```
![Pastel heatmap](https://github.com/e-hulten/july/blob/master/examples/heatmap_pastel.jpg?raw=true)

```
```py
# Month plot with dates.
july.month_plot(dates, data, month=5, date_label=True, ax=axes[0])
# Month plot with values.
july.month_plot(dates, data, month=5, value_label=True, ax=axes[1])
```
![Month plot](https://github.com/e-hulten/july/blob/master/examples/month_plot.jpg?raw=true)
```
```py
# Calendar plot.
july.calendar_plot(dates, data)
```
Expand Down