英文:
How to delete white stripes and unite the legends?
问题
我可以帮你翻译代码部分：
import matplotlib.pyplot as plt
import seaborn as sns
sns.set_style('darkgrid')
fig, ax = plt.subplots(figsize=(10, 6))
ax1 = plt.bar(
x=df2_3['reg_month'],
height=df2_3['ses_users'],
label='Users with sessions',
edgecolor='black',
linewidth=0,
width=20,
color='#3049BF'
)
ax2 = plt.bar(
x=df2_3['reg_month'],
height=df2_3['no_ses_users'],
bottom=df2_3['ses_users'],
label='Users without sessions',
edgecolor='black',
linewidth=0,
width=20,
color='#BF9530'
)
secax = ax.twinx()
secax.set_ylim(min(df2_3['no_ses_users_ptc'])*0.5, max(df2_3['no_ses_users_ptc'])*1.1)
ax3 = plt.plot(
df2_3['reg_month'],
df2_3['no_ses_users_ptc'],
color='#E97800',
label='Users without sessions, ptc'
)
ax.legend()
secax.legend()
plt.show()
请注意，代码中包含一些特定的图形绘制和样式设置，如颜色、图例等，这些内容无法直接翻译。如果需要进一步的帮助或解释，请随时提问。
英文:
I got this data:
| reg_month | no_ses_users | ses_users | no_ses_users_ptc | |
|---|---|---|---|---|
| 0 | 2021-01-01 | 29 | 101 | 22.31 |
| 1 | 2021-02-01 | 48 | 188 | 20.34 |
| 2 | 2021-03-01 | 86 | 303 | 22.11 |
| 3 | 2021-04-01 | 111 | 381 | 22.56 |
| 4 | 2021-05-01 | 141 | 479 | 22.74 |
| 5 | 2021-06-01 | 177 | 564 | 23.89 |
| 6 | 2021-07-01 | 224 | 661 | 25.31 |
| 7 | 2021-08-01 | 257 | 746 | 25.62 |
| 8 | 2021-09-01 | 289 | 832 | 25.78 |
| 9 | 2021-10-01 | 319 | 934 | 25.46 |
| 10 | 2021-11-01 | 341 | 1019 | 25.07 |
| 11 | 2021-12-01 | 384 | 1111 | 25.69 |
| 12 | 2022-01-01 | 422 | 1203 | 25.97 |
| 13 | 2022-02-01 | 451 | 1292 | 25.87 |
| 14 | 2022-03-01 | 482 | 1377 | 25.93 |
| 15 | 2022-04-01 | 518 | 1468 | 26.08 |
| 16 | 2022-05-01 | 544 | 1553 | 25.94 |
| 17 | 2022-06-01 | 584 | 1633 | 26.34 |
| 18 | 2022-07-01 | 620 | 1722 | 26.47 |
| 19 | 2022-08-01 | 651 | 1813 | 26.42 |
| 20 | 2022-09-01 | 662 | 1847 | 26.39 |
I make graph with second axis with plt.bar (y axis), plt.plot (second y axis):
import matplotlib.pyplot as plt
import seaborn as sns
sns.set_style('darkgrid')
fig, ax = plt.subplots(figsize=(10, 6))
ax1 = plt.bar(
x=df2_3['reg_month'],
height=df2_3['ses_users'],
label='Users with sessions',
edgecolor = 'black',
linewidth = 0,
width=20,
color = '#3049BF'
)
ax2 = plt.bar(
x=df2_3['reg_month'],
height=df2_3['no_ses_users'],
bottom=df2_3['ses_users'],
label='Users without sessions',
edgecolor = 'black',
linewidth = 0,
width=20,
color = '#BF9530'
)
secax = ax.twinx()
secax.set_ylim(min(df2_3['no_ses_users_ptc'])*0.5, max(df2_3['no_ses_users_ptc'])*1.1)
ax3 = plt.plot(
df2_3['reg_month'],
df2_3['no_ses_users_ptc'],
color = '#E97800',
label='Users without sessions, ptc'
)
ax.legend()
secax.legend()
plt.show()
How can I delete white stipes and unite the legend at one?
Output:
答案1
得分: 1
为了合并图例，您需要获取ax和secax的各自句柄和标签，然后将它们组合起来并绘制相同的图例。您看到的白色线条是网格线，您可以使用axes.grid(False)来关闭它们。请在plt.show()之前添加以下行（并注释掉您现有的图例行）：
ax.grid(False) ## 关闭ax的网格线
secax.grid(False) ## 关闭secax的网格线
h1, l1 = ax.get_legend_handles_labels() ## 获取ax的图例句柄和标签
h2, l2 = secax.get_legend_handles_labels() ## 获取secax的图例句柄和标签
handles = h1 + h2 ## 组合句柄
labels = l1 + l2 ## 组合标签
ax.legend(handles, labels) ## 绘制合并后的图例
#ax.legend() ## 需要注释掉
#secax.legend() ## 需要注释掉
plt.show()
英文:
To combine the legends, you need to get the individual handles & labels for ax and secax, combine them and plot the same. The white lines you are seeing are the grid lines. You can turn them off using axes.grid(False). Add these lines just before plt.show() (and comment out your exsting legend lines) like below...
ax.grid(False) ## Turn off grid lines for ax
secax.grid(False) ## Turn off grid lines for secax
h1, l1 = ax.get_legend_handles_labels() ## Get the legend handles and labels for ax
h2, l2 = secax.get_legend_handles_labels() ## Get the legend handles and labels for secax
handles = h1 + h2 ## Combine handles
labels = l1 + l2 ## Combine labels
ax.legend(handles, labels) ## Plot the combined legend
#ax.legend() ## Need to comment out
#secax.legend() ## Need to comment out
plt.show()
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