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34 lines
1.2 KiB
34 lines
1.2 KiB
2 years ago
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# Exercise 6 Plotly 1
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Plotly has evolved a lot in the previous years. It is important to **always check the documentation**.
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Plotly comes with a high level interface: Plotly Express. It helps building some complex plots easily. The lesson won't detail the complex examples. Plotly express is quite interesting while using Pandas Dataframes because there are some built-in functions that leverage Pandas Dataframes.
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The plot outputed by Plotly is interactive and can also be dynamic.
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The goal of the exercise is to plot the price of a company. Its price is generated below.
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```python
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returns = np.random.randn(50)
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price = 100 + np.cumsum(returns)
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dates = pd.date_range(start='2020-09-01', periods=50, freq='B')
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df = pd.DataFrame(zip(dates, price),
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columns=['Date','Company_A'])
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```
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1. Using **Plotly express**, reproduce the plot in the image. As the data is generated randomly I do not expect you to reproduce the same line.
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![alt text][logo_ex6]
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[logo_ex6]: ./w1day03_ex6_plot1.png "Time series ex6"
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The plot has to contain:
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- title
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- x-axis name
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- yaxis name
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2. Same question but now using `plotly.graph_objects`. You may need to use `init_notebook_mode` from `plotly.offline`.
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https://plotly.com/python/time-series/e
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