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Describe the bug
With a time series dataset, I have a good portion of data point with negative numbers as shown below. In the rendered bar chart race mp4 file, the bar with negative numbers cannot show in full and trimmed. With all positive numbers, the output is perfect. How could I properly deal with negative numbers when plotting barchart race?
Describe the bug
With a time series dataset, I have a good portion of data point with negative numbers as shown below. In the rendered bar chart race mp4 file, the bar with negative numbers cannot show in full and trimmed. With all positive numbers, the output is perfect. How could I properly deal with negative numbers when plotting barchart race?
Time Series Data
801010.SI 801030.SI
2022/1/4 0.047342559 -0.008077596
2022/1/5 0.04736944 -0.025241489
2022/1/6 0.038082105 -0.016606611
2022/1/7 0.015604335 -0.033500851
2022/1/10 0.052041332 -0.026741557
2022/1/11 0.025246497 -0.029220364
2022/1/12 0.037713837 -0.014121811
2022/1/13 0.013593648 -0.032819728
2022/1/14 0.00680892 -0.0340062
2022/1/17 0.009693236 -0.027111081
2022/1/18 -0.000276873 -0.027900065
2022/1/19 -0.009540015 -0.04367974
2022/1/20 0.006169156 -0.066530309
2022/1/21 -0.025375526 -0.075732457
2022/1/24 -0.029509801 -0.067858598
2022/1/25 -0.065473694 -0.096090236
2022/1/26 -0.050272572 -0.086760253
2022/1/27 -0.071462749 -0.104737099
2022/1/28 -0.045990452 -0.105897604
2022/2/7 -0.03369515 -0.08711979
2022/2/8 -0.025660463 -0.078520865
2022/2/9 0.002451534 -0.065909109
2022/2/10 0.028961431 -0.061227139
2022/2/11 0.004201477 -0.070694945
2022/2/14 -0.016249476 -0.071849458
2022/2/15 -0.019166048 -0.068753446
2022/2/16 -0.027017946 -0.05653718
2022/2/17 -0.017139232 -0.04423902
2022/2/18 -0.006085825 -0.041314787
2022/2/21 -0.002489167 -0.0375776
2022/2/22 -0.008935196 -0.036105496
2022/2/23 -0.023493866 -0.012891396
2022/2/24 -0.039603561 -0.033650658
2022/2/25 -0.038563272 -0.027248903
2022/2/28 -0.038743374 -0.019093408
Reproduce
DF.plot_animated(filename = 'd:/test.mp4', steps_per_period = 15, figsize = np.array([20, 10]), orientation='v')
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