Matplotlib - Mathematical Expressions Matplotlib - Animations Matplotlib - Celluloid Library Matplotlib - Blitting Matplotlib - Toolkits Matplotlib - Artists Matplotlib - Styling with Cycler Matplotlib - Paths Matplotlib - Path Effects Matplotlib - Transforms Matplotlib - Ticks and Tick Labels Matplotlib - ...
subplot_1.plot(np.random.rand(number_of_data_points).cumsum())#累计每产生的随机数总和number_of_ticks= 5ticks= np.arange(0, number_of_data_points, number_of_data_points//number_of_ticks) subplot_1.set_xticks(ticks)#设置x轴tick的数据labels = subplot_1.set_xticklabels(['one','two',...
Here is how to make this plot in Python usingmatplotlibandseaborn(only used for the style), adapted fromhttps://python-graph-gallery.com/184-lollipop-plot-with-2-groups/and as requested by the OP in the comments. importnumpy as np importpandas as pd import matplotlib.pyplot as plt import ...
I choose this particular angle is because that the China’s film market is booming nowadays, we definitely have more films every year but with fewer great ones. By analyzing I want to find what will make an influential and excellent film and what should filmmakers do in the future to produc...