要获得具有所有街道轮廓的旧金山底图，需要哪些R包？
创建底图的R代码是什么？
答案 0 :(得分：0)
您可以使用import numpy as np
from matplotlib import pyplot as plt
fig, ax = plt.subplots(figsize=(6, 10))
t_label_lst = ['Digital Learning Apps', 'News, Events, Daily', 'News on School Events', 'STEM Extracurriculars & School Programs', 'Hiring, STEM Workforce', 'Women in STEM', 'Activities and Projects Outside of the Classroom', 'Ambiguous', 'Ambiguous, STEM in College', 'Next Generation of Engineers', 'News, Events, Daily', 'Educational Policy and Higher Education, Reform', 'STEM Activities, Building, Arts, and Design', 'Engaging students with STEM using programming and robotics', 'Black Leaders in STEM', 'Next Generation of Engineers', 'Ambiguous', 'Astronomy, NASA', 'STEM workshops and summer camps', 'Competitions, Team Credit', 'Ambiguous, Technology Hashtags', 'Google Education', 'Good Job Today! Crediting Daily Activities and Work', 'Engaging students with STEM using programming and robotics', 'Environmental Science', 'Teachers, Public Schools In STEM', 'Ambiguous', 'Edtech Companies', 'Ambiguous, PHD Conversation', 'Ambiguous', 'Engaging students with STEM using programming and robotics', 'Ambiguous, Virtual Reality and Personalized learning mention', 'Ambiguous', 'Ambiguous', 'Ambiguous, #Autism hashtag has disproportionate weight']
total_vals = [23668, 13186, 10752, 10002, 9558, 9126, 8138, 7389, 7006, 6965, 6859, 6621, 6538, 5700, 5110, 5069, 4419, 4025, 3943, 3866, 3761, 3697, 3543, 3294, 3067, 2928, 2511, 2491, 2353, 2312, 2229, 2175, 2021, 1921, 1787]
positive_vals = [9941, 9306, 7595, 5935, 5913, 7488, 5258, 4905, 4026, 5242, 5557, 3225, 3530, 3055, 3300, 3503, 2461, 2199, 2074, 2379, 1665, 2274, 2250, 1674, 1523, 1533, 1241, 859, 1504, 1419, 1132, 1082, 805, 753, 580]
neutral_vals = [13727, 3880, 3157, 4067, 3645, 1638, 2880, 2484, 2980, 1723, 1302, 3396, 3008, 2645, 1810, 1566, 1958, 1826, 1869, 1487, 2096, 1423, 1293, 1620, 1544, 1395, 1270, 1632, 849, 893, 1097, 1093, 1216, 1168, 1207]
bar_size = 0.25
padding = 0.25
y_locs = np.arange(len(total_vals)) * (bar_size * 3 + padding)
rects1 = ax.barh(y_locs, total_vals, align='edge', height=bar_size, color='r', label="total tweet count")
rects2 = ax.barh(y_locs + bar_size, positive_vals, align='edge', height=bar_size, color='b', label="positive tweet count")
rects3 = ax.barh(y_locs + 2 * bar_size, neutral_vals, align='edge', height=bar_size, color='yellow', label="neutral tweet count")
ax.set(yticks=x_locs, yticklabels=t_label_lst, ylim=[0 - padding, len(x_locs)])
软件包：
leaflet