![]() ![]() Here are my codes: import matplotlib.pyplot as pltĭdf = pd.DataFrame(total_passengers_by_lines, columns = months, index=lines)įig, (ax1, ax2) = plt.subplots(2, figsize = (25,10), gridspec_kw=)įig.suptitle('The Unleaded Gasoline 95 Prices and Total Passengers Per Lines Through The Year 2022',fontsize=15)Īx1.plot(eu_gas. import numpy as np import matplotlib. What I am trying to do is showing the relation between gasoline prices and metro passenger counts. As of matplotlib 3.3.0, tboxaspect seems to be the recommended approach. Set how the Axes adjusts to achieve the required aspect ratio. I think the most elegant way is that suggesyted by. I need it to be four times taller than it is wide (the plot is a 2D image). You can either do this with the adjustable kwarg when you create the subplots. I want to make a plot that has an unusual aspect ratio. You just need to make sure that adjustable is set to 'box' on your axes, and you have a set aspect ratio for the axes (anything other than 'auto' ). Line plot is showing gasoline prices through the 2022 and heatmap shows the metro line passengers through the months of the 2022. For example: import matplotlib.pyplot as plt fig plt.figure() ax1 fig. 3 Answers Sorted by: 22 Actually, what you're wanting is quite simple. One of them is a heatmap from seaborn library and other one is line plot from matplotlib. E.g.: import matplotlib.pyplot ( 1,2,3, 4,5,6,color 'red','green','blue') When you have a list of lists and you want them colored per list. Now, regardless of how the figure is resized, the subplots will maintain the same aspect ratio. Line plot is showing gasoline prices through the 2022 and heatmap shows the metro line passengers through the months of the 2022. The normal way to plot plots with points in different colors in matplotlib is to pass a list of colors as a parameter. ![]() One of them is a heatmap from seaborn library and other one is line plot from matplotlib. 73 import matplotlib.pyplot as plt from mpltoolkits.mplot3d import Axes3D Setting the aspect ratio works for 2d plots: ax plt.axes () ax.plot ( 0,1, 0,10) ax.setaspect ('equal','box') But does not for 3d: ax plt.axes (projection'3d') ax.plot ( 0,1, 0,1, 0,10) ax. ![]()
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