How to plot timeseries data in VSCode using pandas

Question

here's some code that I'm using to try to plot a timeseries of BP share data from yfinance in a Jupyter notebook in VSCode.

import pandas as pd
import matplotlib.pyplot as plt
%matplotlib inline
import seaborn as sns

# Import yfinance package
import yfinance as yf

# Set the start and end date
start_date = '1990-01-01'
end_date = '2021-07-12'

# Set the ticker
ticker = 'BP'

# Get the data
data = yf.download(ticker, start_date, end_date)

# Print 5 rows
data.tail()

The result:

            Open        High        Low         Close       Adj Close   Volume
Date                        
2021-07-02  26.959999   27.049999   26.709999   26.980000   25.208590   5748800
2021-07-06  26.900000   26.920000   25.730000   25.969999   24.264900   17917900
2021-07-07  25.780001   26.120001   25.469999   25.730000   24.040659   13309100
2021-07-08  25.230000   25.790001   25.200001   25.580000   23.900505   10075500
2021-07-09  25.840000   26.100000   25.690001   26.010000   24.302273   7059700

So far, so hunky dory.

Then I just want to plot the data.

My code:

sns.lineplot(data=data['Close'], label='Close')
plt.show()

The result is:

<Figure size 640x480 with 1 Axes>

But no plot.

Is there a setting I need to change to plot the data?

Assuming you're using Jupyter Notebook. Try to set %matplotlib inline before the matplotlib import. You also don't need plt.show(). See also: stackoverflow.com/a/43550882/15637435 — Elodin
– Elodin, Commented Feb 8, 2023 at 13:01
That worked. I also didn't know about output renderers in VSCode. Thank you both. — elksie5000
– elksie5000, Commented Feb 8, 2023 at 13:08

Ashwani Kumar · Accepted Answer · 2023-02-08 15:40:04Z

1

You need to comment out %matplotlib inline at the top of your program. This is needed when plotting data in jupyter notebook. When you want to plot the results in a separate window via a python script, don't use it.

answered Feb 8, 2023 at 15:40

Ashwani Kumar

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Serge de Gosson de Varennes · Accepted Answer · 2023-02-08 13:48:51Z

1

You need to do this:

sns.lineplot(x=data.index, y=data['Close'], label='Close')
plt.show()

which gives

answered Feb 8, 2023 at 13:48

Serge de Gosson de Varennes

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