Mixing
Vertical Line Behind Time Series Plot with zorder
0
I am trying to add several vertical lines to a time series plot generated with pandas, just like in this question. However, the lines are supposed to be drawn behind the time series plot which poses the problem.
In a minimal example, it works with zorder
import datetime
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
iN = 50
data = pd.DataFrame(np.random.multivariate_normal([0, 0], [[2, 0], [0, 2]], 50), index=pd.date_range(start='1/1/2018', periods=iN))
fig, ax = plt.subplots()
data.plot(ax=ax, zorder=100)
ax.axvline(pd.to_datetime('30/1/2018'), color='k', zorder=0)
plt.show()
However, in my actual figure it does not work, i.e. the vertical lines all appear in front of the time series. What is creating this problem?
fig, ax = plt.subplots(figsize=(10,5))
# plot
risk_index.plot(ax=ax, color=color, linewidth=0.2, zorder=100)
# events
ax.axvline(pd.to_datetime('30.04.2013', format='%d.%m.%Y'), linewidth=0.2, linestyle='--', color='k', zorder=0)
ax.axvline(pd.to_datetime('17.05.2013', format='%d.%m.%Y'), linewidth=0.2, linestyle='--', color='grey', zorder=0)
#Create custom artists
sectorArtists = [plt.Line2D((0,1),(0,0), color=i) for i in cmap]
handles, labels = ax.get_legend_handles_labels()
ax.legend(sectorArtists,items,loc='upper center',
ncol=len(items),
bbox_to_anchor=(0.5,-0.15), prop={'size':7})
# label
ax.tick_params(labelsize=7)
plt.ylim((risk_index.values.min()*1.05,risk_index.values.max()*1.05))
# output
fig.savefig(fig_output, dpi=700, bbox_inches="tight")
plt.close
Note that risk_index has 27 time series, not only 2. Working with matplotlib version 1.5.0.
matplotlib
asked Jan 2 at 13:20
JhonnyJhonny
112412
|
show 1 more comment
0
I am trying to add several vertical lines to a time series plot generated with pandas, just like in this question. However, the lines are supposed to be drawn behind the time series plot which poses the problem.
In a minimal example, it works with zorder
import datetime
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
iN = 50
data = pd.DataFrame(np.random.multivariate_normal([0, 0], [[2, 0], [0, 2]], 50), index=pd.date_range(start='1/1/2018', periods=iN))
fig, ax = plt.subplots()
data.plot(ax=ax, zorder=100)
ax.axvline(pd.to_datetime('30/1/2018'), color='k', zorder=0)
plt.show()
However, in my actual figure it does not work, i.e. the vertical lines all appear in front of the time series. What is creating this problem?
fig, ax = plt.subplots(figsize=(10,5))
# plot
risk_index.plot(ax=ax, color=color, linewidth=0.2, zorder=100)
# events
ax.axvline(pd.to_datetime('30.04.2013', format='%d.%m.%Y'), linewidth=0.2, linestyle='--', color='k', zorder=0)
ax.axvline(pd.to_datetime('17.05.2013', format='%d.%m.%Y'), linewidth=0.2, linestyle='--', color='grey', zorder=0)
#Create custom artists
sectorArtists = [plt.Line2D((0,1),(0,0), color=i) for i in cmap]
handles, labels = ax.get_legend_handles_labels()
ax.legend(sectorArtists,items,loc='upper center',
ncol=len(items),
bbox_to_anchor=(0.5,-0.15), prop={'size':7})
# label
ax.tick_params(labelsize=7)
plt.ylim((risk_index.values.min()*1.05,risk_index.values.max()*1.05))
# output
fig.savefig(fig_output, dpi=700, bbox_inches="tight")
plt.close
Note that risk_index has 27 time series, not only 2. Working with matplotlib version 1.5.0.
matplotlib
asked Jan 2 at 13:20
JhonnyJhonny
112412
Oh, I wish I had your data to try it myself and see if I could help.
– Bazingaa
Jan 2 at 13:31
Why don't you try first plotting both the vertical lines (without using any zorder) and then plot the dataframe (again without any zorder)
– Bazingaa
Jan 2 at 13:32
It does not work with the suggested order of plotting the lines and data, whether the I include thezorderargument or not. Also, note that it is exactly the same setup as in the minimal example where it does work. So the problem has to come from what is in my actual figure but not the minimal example.
– Jhonny
Jan 2 at 13:46
The vertical line width is too small perhaps. Without being able to reproduce the problem, it is actually hard to find the source of the problem. The advantage you have is that you can run the second code but we can’t. So we don’t even know if it is system related, date related, some bug, some visual effect or something else.
– Bazingaa
Jan 2 at 13:53
1
@Jhonny What the above comments want to tell you is essentially that you should provide a Minimal, Complete, and Verifiable example of the issue; else people cannot help you.
– ImportanceOfBeingErnest
Jan 2 at 14:11
|
show 1 more comment
0
0
0
I am trying to add several vertical lines to a time series plot generated with pandas, just like in this question. However, the lines are supposed to be drawn behind the time series plot which poses the problem.
In a minimal example, it works with zorder
import datetime
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
iN = 50
data = pd.DataFrame(np.random.multivariate_normal([0, 0], [[2, 0], [0, 2]], 50), index=pd.date_range(start='1/1/2018', periods=iN))
fig, ax = plt.subplots()
data.plot(ax=ax, zorder=100)
ax.axvline(pd.to_datetime('30/1/2018'), color='k', zorder=0)
plt.show()
However, in my actual figure it does not work, i.e. the vertical lines all appear in front of the time series. What is creating this problem?
fig, ax = plt.subplots(figsize=(10,5))
# plot
risk_index.plot(ax=ax, color=color, linewidth=0.2, zorder=100)
# events
ax.axvline(pd.to_datetime('30.04.2013', format='%d.%m.%Y'), linewidth=0.2, linestyle='--', color='k', zorder=0)
ax.axvline(pd.to_datetime('17.05.2013', format='%d.%m.%Y'), linewidth=0.2, linestyle='--', color='grey', zorder=0)
#Create custom artists
sectorArtists = [plt.Line2D((0,1),(0,0), color=i) for i in cmap]
handles, labels = ax.get_legend_handles_labels()
ax.legend(sectorArtists,items,loc='upper center',
ncol=len(items),
bbox_to_anchor=(0.5,-0.15), prop={'size':7})
# label
ax.tick_params(labelsize=7)
plt.ylim((risk_index.values.min()*1.05,risk_index.values.max()*1.05))
# output
fig.savefig(fig_output, dpi=700, bbox_inches="tight")
plt.close
Note that risk_index has 27 time series, not only 2. Working with matplotlib version 1.5.0.
matplotlib
asked Jan 2 at 13:20
JhonnyJhonny
112412
I am trying to add several vertical lines to a time series plot generated with pandas, just like in this question. However, the lines are supposed to be drawn behind the time series plot which poses the problem.
In a minimal example, it works with zorder
import datetime
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
iN = 50
data = pd.DataFrame(np.random.multivariate_normal([0, 0], [[2, 0], [0, 2]], 50), index=pd.date_range(start='1/1/2018', periods=iN))
fig, ax = plt.subplots()
data.plot(ax=ax, zorder=100)
ax.axvline(pd.to_datetime('30/1/2018'), color='k', zorder=0)
plt.show()
However, in my actual figure it does not work, i.e. the vertical lines all appear in front of the time series. What is creating this problem?
fig, ax = plt.subplots(figsize=(10,5))
# plot
risk_index.plot(ax=ax, color=color, linewidth=0.2, zorder=100)
# events
ax.axvline(pd.to_datetime('30.04.2013', format='%d.%m.%Y'), linewidth=0.2, linestyle='--', color='k', zorder=0)
ax.axvline(pd.to_datetime('17.05.2013', format='%d.%m.%Y'), linewidth=0.2, linestyle='--', color='grey', zorder=0)
#Create custom artists
sectorArtists = [plt.Line2D((0,1),(0,0), color=i) for i in cmap]
handles, labels = ax.get_legend_handles_labels()
ax.legend(sectorArtists,items,loc='upper center',
ncol=len(items),
bbox_to_anchor=(0.5,-0.15), prop={'size':7})
# label
ax.tick_params(labelsize=7)
plt.ylim((risk_index.values.min()*1.05,risk_index.values.max()*1.05))
# output
fig.savefig(fig_output, dpi=700, bbox_inches="tight")
plt.close
Note that risk_index has 27 time series, not only 2. Working with matplotlib version 1.5.0.
matplotlib
matplotlib
asked Jan 2 at 13:20
JhonnyJhonny
112412
asked Jan 2 at 13:20
JhonnyJhonny
112412
edited Jan 2 at 14:12
Jhonny
asked Jan 2 at 13:20
JhonnyJhonny
112412
asked Jan 2 at 13:20
JhonnyJhonny
112412
asked Jan 2 at 13:20
JhonnyJhonny
112412
112412
Oh, I wish I had your data to try it myself and see if I could help.
– Bazingaa
Jan 2 at 13:31
Why don't you try first plotting both the vertical lines (without using any zorder) and then plot the dataframe (again without any zorder)
– Bazingaa
Jan 2 at 13:32
It does not work with the suggested order of plotting the lines and data, whether the I include thezorderargument or not. Also, note that it is exactly the same setup as in the minimal example where it does work. So the problem has to come from what is in my actual figure but not the minimal example.
– Jhonny
Jan 2 at 13:46
The vertical line width is too small perhaps. Without being able to reproduce the problem, it is actually hard to find the source of the problem. The advantage you have is that you can run the second code but we can’t. So we don’t even know if it is system related, date related, some bug, some visual effect or something else.
– Bazingaa
Jan 2 at 13:53
1
@Jhonny What the above comments want to tell you is essentially that you should provide a Minimal, Complete, and Verifiable example of the issue; else people cannot help you.
– ImportanceOfBeingErnest
Jan 2 at 14:11
|
show 1 more comment
Oh, I wish I had your data to try it myself and see if I could help.
– Bazingaa
Jan 2 at 13:31
Why don't you try first plotting both the vertical lines (without using any zorder) and then plot the dataframe (again without any zorder)
– Bazingaa
Jan 2 at 13:32
It does not work with the suggested order of plotting the lines and data, whether the I include thezorderargument or not. Also, note that it is exactly the same setup as in the minimal example where it does work. So the problem has to come from what is in my actual figure but not the minimal example.
– Jhonny
Jan 2 at 13:46
The vertical line width is too small perhaps. Without being able to reproduce the problem, it is actually hard to find the source of the problem. The advantage you have is that you can run the second code but we can’t. So we don’t even know if it is system related, date related, some bug, some visual effect or something else.
– Bazingaa
Jan 2 at 13:53
1
@Jhonny What the above comments want to tell you is essentially that you should provide a Minimal, Complete, and Verifiable example of the issue; else people cannot help you.
– ImportanceOfBeingErnest
Jan 2 at 14:11
Oh, I wish I had your data to try it myself and see if I could help.
– Bazingaa
Jan 2 at 13:31
Oh, I wish I had your data to try it myself and see if I could help.
– Bazingaa
Jan 2 at 13:31
Why don't you try first plotting both the vertical lines (without using any zorder) and then plot the dataframe (again without any zorder)
– Bazingaa
Jan 2 at 13:32
Why don't you try first plotting both the vertical lines (without using any zorder) and then plot the dataframe (again without any zorder)
– Bazingaa
Jan 2 at 13:32
It does not work with the suggested order of plotting the lines and data, whether the I include the
zorder argument or not. Also, note that it is exactly the same setup as in the minimal example where it does work. So the problem has to come from what is in my actual figure but not the minimal example.– Jhonny
Jan 2 at 13:46
It does not work with the suggested order of plotting the lines and data, whether the I include the
zorder argument or not. Also, note that it is exactly the same setup as in the minimal example where it does work. So the problem has to come from what is in my actual figure but not the minimal example.– Jhonny
Jan 2 at 13:46
The vertical line width is too small perhaps. Without being able to reproduce the problem, it is actually hard to find the source of the problem. The advantage you have is that you can run the second code but we can’t. So we don’t even know if it is system related, date related, some bug, some visual effect or something else.
– Bazingaa
Jan 2 at 13:53
The vertical line width is too small perhaps. Without being able to reproduce the problem, it is actually hard to find the source of the problem. The advantage you have is that you can run the second code but we can’t. So we don’t even know if it is system related, date related, some bug, some visual effect or something else.
– Bazingaa
Jan 2 at 13:53
1
1
@Jhonny What the above comments want to tell you is essentially that you should provide a Minimal, Complete, and Verifiable example of the issue; else people cannot help you.
– ImportanceOfBeingErnest
Jan 2 at 14:11
@Jhonny What the above comments want to tell you is essentially that you should provide a Minimal, Complete, and Verifiable example of the issue; else people cannot help you.
– ImportanceOfBeingErnest
Jan 2 at 14:11
|
show 1 more comment
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Oh, I wish I had your data to try it myself and see if I could help.
– Bazingaa
Jan 2 at 13:31
Why don't you try first plotting both the vertical lines (without using any zorder) and then plot the dataframe (again without any zorder)
– Bazingaa
Jan 2 at 13:32
It does not work with the suggested order of plotting the lines and data, whether the I include the
zorderargument or not. Also, note that it is exactly the same setup as in the minimal example where it does work. So the problem has to come from what is in my actual figure but not the minimal example.– Jhonny
Jan 2 at 13:46
The vertical line width is too small perhaps. Without being able to reproduce the problem, it is actually hard to find the source of the problem. The advantage you have is that you can run the second code but we can’t. So we don’t even know if it is system related, date related, some bug, some visual effect or something else.
– Bazingaa
Jan 2 at 13:53
1
@Jhonny What the above comments want to tell you is essentially that you should provide a Minimal, Complete, and Verifiable example of the issue; else people cannot help you.
– ImportanceOfBeingErnest
Jan 2 at 14:11