[英]How to display x axis labels on all bar chart subplots?
Problem: 问题:
I am trying to display all of the labels on my bar chart subplots. 我试图在条形图子图上显示所有标签。 I have tried everything in this answer and this answer with no luck.
我试图在这一切的答案 ,这答案没有运气。
Data: 数据:
data = StringIO("""
Index-- --Rk Passing-Player Passing-Cmp Passing-Att Passing-Pct Passing-Yds Passing-Y/A Passing-AY/A Passing-TD Passing-Int Passing-Rate
0 0 1 Patrick Mahomes 364 573 63.5 4653 8.1 8.2 36 15 147.2
1 1 2 Davis Webb 22 41 53.7 300 7.3 8.3 2 0 131.2
2 2 3 Nic Shimonek 1 2 50.0 18 9.0 9.0 0 0 125.6
3 3 4 Jakeem Grant 1 1 100.0 72 72.0 92.0 1 0 1034.8
4 4 5 Jonathan Giles 1 1 100.0 3 3.0 3.0 0 0 125.2
5 5 6 Ian Sadler 0 1 0.0 0 0.0 0.0 0 0 0.0
""")
df = pd.read_table(data, delim_whitespace=True)
dfs = [df] * 9
Plotting code: 绘图代码:
fig, axs = plt.subplots(3,3, figsize=(10,10), sharey=True, sharex=False)
for ax,df in zip(axs.ravel(), dfs):
ax.bar(df['Passing-Player'], df['Passing-Yds'])
for tick in ax.get_xticklabels():
tick.set_visible(True)
fig.autofmt_xdate(rotation=90)
fig.tight_layout(pad=2.0, w_pad=2.0, h_pad=10.0)
fig.savefig("tester.png")
Result: 结果:
How can I display all of the x axis labels because in my real data each plot is different with different player names. 如何显示所有x轴标签,因为在我的实际数据中,每个绘图都有不同的玩家名称。
You need to remove fig.autofmt_xdate(rotation=90)
as you aren't using dates and set the tick labels yourself with a rotation using ax.set_xticklabels(labels_go_here, rotation=90)
您需要删除
fig.autofmt_xdate(rotation=90)
因为您没有使用日期并使用ax.set_xticklabels(labels_go_here, rotation=90)
设置刻度标签
fig, axs = plt.subplots(3,3, figsize=(10,10), sharey=True, sharex=False)
for ax, df in zip(axs.ravel(), dfs):
ax.bar(df['Passing-Player'], df['Passing-Yds'])
ax.set_xticklabels(df['Passing-Player'], rotation=90)
fig.tight_layout(pad=2.0, w_pad=2.0, h_pad=10.0)
plt.show()
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