[英]pyplot showing nothing except basic graph
pyplot 不听任何我的样式命令,也不显示任何轴刻度。
我从https://www.tutorialspoint.com/matplotlib/matplotlib_bar_plot.htmand复制了这个例子,但无法像他们那样工作,也无法在我添加数据时使用
team_data = {
"England": {
"avg_game_difference": 5.0476190476190474,
"articles_count": 51
},
"France": {
"avg_game_difference": 3.857142857142857,
"articles_count": 12
},
"Ireland": {
"avg_game_difference": 5.2,
"articles_count": 22
},
"Italy": {
"avg_game_difference": 7.0,
"articles_count": 5
},
"Scotland": {
"avg_game_difference": 2.5,
"articles_count": 9
},
"Wales": {
"avg_game_difference": 3.5833333333333335,
"articles_count": 24
},
"New Zealand": {
"avg_game_difference": 1.25,
"articles_count": 9
}
}
fig = plt.figure()
ax = fig.add_axes([0, 0, 1, 1])
categories = list(team_data.keys())
data = [i['articles_count'] for i in team_data.values()]
ax.bar(categories, data)
ax.set_title('Teams with most articles written')
ax.set_xlabel('Teams')
ax.set_ylabel('Number articles written')
plt.savefig('output.png')
见 output.png
试试这个:
import matplotlib.pyplot as plt
fig, ax = plt.subplots()
categories = list(team_data.keys())
data = [i['articles_count'] for i in team_data.values()]
ax.bar(categories, data)
ax.set_title('Teams with most articles written')
ax.set_xlabel('Teams')
ax.set_ylabel('Number articles written')
plt.savefig('output.png')
这个答案详细解释了add_axes
和 subplot 之间的区别,但这里重要的是add_axes([0, 0, 1, 1])
用你的 plot 填充整个 canvas 不留标签或标题空间。
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