5使用Python代码轻松实现数据可视化的方法

# For each category after the first, the bottom of the

# bar will be the top of the last category

ax.bar(x_data, y_data_list[i], color = colors[i], bottom = y_data_list[i - 1], align = 'center', label = y_data_names[i])

ax.set_ylabel(y_label)

ax.set_xlabel(x_label)

ax.set_title(title)

ax.legend(loc = 'upper right')

def groupedbarplot(x_data, y_data_list, colors, y_data_names="", x_label="", y_label="", title=""):

_, ax = plt.subplots()

# Total width for all bars at one x location

total_width = 0.8

# Width of each individual bar

ind_width = total_width / len(y_data_list)

# This centers each cluster of bars about the x tick mark

alteration = np.arange(-(total_width/2), total_width/2, ind_width)

# Draw bars, one category at a time

for i in range(0, len(y_data_list)):

# Move the bar to the right on the x-axis so it doesn't

# overlap with previously drawn ones

ax.bar(x_data + alteration[i], y_data_list[i], color = colors[i], label = y_data_names[i], width = ind_width)

ax.set_ylabel(y_label)

ax.set_xlabel(x_label)

　　推荐阅读

　　HTTPS那些协议：TLS, SSL, SNI, ALPN, NPN

沙龙晃荡 | 3月31日京东、微博、华为拭魅战专家与你合营商量容器技巧实践！本文存眷个中 Web 办事(HTTPS)相干>>>详细阅读

地址：http://www.17bianji.com/lsqh/40891.html