I have over a hundred stocks (actually crypto but that does not matter) I wish to plot, all on the same line plot.
PriceTimeList = []
# Then I populate the PriceTimeList with dictionaries, one for each stock
getData()
# I iterate through i, for example, i = "BTC-PERP", i = "APPL-PERP"
# Under 'price' key, I have priceList which is a list of closing prices
# And I have it similarly or 'time' key
PriceTimeList.append({
'name': i,
'price': priceList,
'time': timeList
})
# I create a dataframe from the list of dictionaries
PriceTimeDF = pd.DataFrame(PriceTimeList)
# I change the index to use the 'name' column of my dataframe
PriceTimeDF = PriceTimeDF.set_index('name')
I end up with a dataframe that looks like this:
┌──────────────┬──────────────────┬──────────────────────────────────────┐ │ │ │ │ │ │ price │ time │ ├──────────────┼──────────────────┼──────────────────────────────────────┤ │ │ │ │ │ BTC-PERP │ [1,2,3,4,5] │ [1654052651, 1654052690, 1654052699] │ │ │ │ │ │ APPL-PERP │ [1,2,3,4,5] │ [1654052651, 1654052690, 1654052699] │ │ │ │ │ │ ETH-PERP │ [1,2,3,4,5] │ [1654052651, 1654052690, 1654052699] │ │ │ │ │ │ TSLA-PERP │ [1,2,3,4,5] │ [1654052651, 1654052690, 1654052699] │ │ │ │ │ └──────────────┴──────────────────┴──────────────────────────────────────┘
I don’t know how to make a line plot from this dataframe, I don’t even know if it is possible. Is there a way? Or is there a better way I should structure the data?
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Answer
It maybe better if you transform the data as shown in example belo.
df = pd.DataFrame({
'stock': ['A', 'B'],
'price': [[10,20,30,40], [1,2,3,4]],
'time': [[1,2,3,4], [1,2,3,4]]
})
df = df.set_index(['stock']).apply(pd.Series.explode).reset_index()
df
| stock | price | time |
|---|---|---|
| A | 10 | 1 |
| A | 20 | 2 |
| A | 30 | 3 |
| A | 40 | 4 |
| B | 1 | 1 |
| B | 2 | 2 |
| B | 3 | 3 |
| B | 4 | 4 |
Then, use plotly.express to plot the line chart of each stocks by using
import plotly.express as px px.line(df, color='stock', x='time', y='price')
Output:
