28 lines
827 B
Python
28 lines
827 B
Python
# import matplotlib if you wish to see the animation in gui
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import pandas as pd
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from matplotlib import pyplot as plt
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import pynimate as nim
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df = pd.DataFrame(
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{
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"time": ["1960-01-01", "1961-01-01", "1962-01-01"],
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"Afghanistan": [1, 2, 3],
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"Angola": [2, 3, 4],
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"Albania": [1, 2, 5],
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"USA": [5, 3, 4],
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"Argentina": [1, 4, 5],
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}
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).set_index("time")
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cnv = nim.Canvas()
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# Interpolation frequency is 2 days
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bar = nim.Barhplot.from_df(df, "%Y-%m-%d", "2d")
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# use set_time to draw the datetime in the canvas
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# here we are using a callback that returns datetime formatted in month, year
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bar.set_time(callback=lambda i, datafier: datafier.data.index[i].strftime("%b, %Y"))
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# add the bar plot to the canvas
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cnv.add_plot(bar)
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cnv.animate()
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cnv.save("file", 24, "gif")
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# plt.show() |