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Python - Create a Time Series Plot using Line Plot with Seaborn
To create a Time Series Plot, use the lineplot(). At first, import the required libraries −
import seaborn as sb import pandas as pd import matplotlib.pyplot as plt
Create a DataFrame with one of the columns as date i.e. “Date_of_Purchase” −
dataFrame = pd.DataFrame({'Date_of_Purchase': ['2018-07-25', '2018-10-25', '2019-01-25', '2019-05-25', '2019-08-25','2020-09-25','2021-03-25'],'Units Sold': [98, 77, 45, 70, 70, 87, 66]
})Pot Time Series using lineplot() −
sb.lineplot(x="Date_of_Purchase", y="Units Sold", data=dataFrame)
Example
Following is the code −
import seaborn as sb
import pandas as pd
import matplotlib.pyplot as plt
# creating DataFrame
dataFrame = pd.DataFrame({'Date_of_Purchase': ['2018-07-25', '2018-10-25', '2019-01-25', '2019-05-25', '2019-08-25','2020-09-25','2021-03-25'],'Units Sold': [98, 77, 45, 70, 70, 87, 66]
})
# time series plot
sb.lineplot(x="Date_of_Purchase", y="Units Sold", data=dataFrame)
plt.show()Output
This will produce the following output −
Updated on: 01-Oct-2021
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