matplotlib multiple plots on one axis through loop does not update y_lim
0
I need to create a figure which contains multiple Gaussian histograms from a list of parameters (pairs of mu and sigma). What I have so far:
import matplotlib.pyplot as plt
import seaborn as sns
from scipy import stats
import numpy as np
def single_camel_plot(mu, sigma, ax):
x = np.linspace(mu - 4*sigma, mu + 4*sigma, 1000)
sns.lineplot(x, stats.norm.pdf(x, mu, sigma), ax=ax)
ax.set_ylim(bottom=0)
fig, ax = plt.subplots()
mu_sigma_pairs = [(16900, 2100), (18200, 1500)]
for mu, sigma in mu_sigma_pairs:
single_camel_plot(mu, sigma, ax)
The output is this figure.
Ideally, the two histograms would use a single y-axis instead of a secondary axis, and the ylim should adjust to accomodate the tallest curve.
python matplotlib seaborn
asked Nov 13 '18 at 17:14
Xiaoyu LuXiaoyu Lu
431413
add a comment |
0
I need to create a figure which contains multiple Gaussian histograms from a list of parameters (pairs of mu and sigma). What I have so far:
import matplotlib.pyplot as plt
import seaborn as sns
from scipy import stats
import numpy as np
def single_camel_plot(mu, sigma, ax):
x = np.linspace(mu - 4*sigma, mu + 4*sigma, 1000)
sns.lineplot(x, stats.norm.pdf(x, mu, sigma), ax=ax)
ax.set_ylim(bottom=0)
fig, ax = plt.subplots()
mu_sigma_pairs = [(16900, 2100), (18200, 1500)]
for mu, sigma in mu_sigma_pairs:
single_camel_plot(mu, sigma, ax)
The output is this figure.
Ideally, the two histograms would use a single y-axis instead of a secondary axis, and the ylim should adjust to accomodate the tallest curve.
python matplotlib seaborn
asked Nov 13 '18 at 17:14
Xiaoyu LuXiaoyu Lu
431413
Seems to me that theset_ylim(bottom=0)is the culprit. After commented it out it no longer creates the problem. It's strange that somehow the other parametertopis also affected byset_ylimalthough I did not specify a value for it.
– Xiaoyu Lu
Nov 13 '18 at 17:17
Setting the limit (even one) for your y-axis will turn off autoscaling. I don't think there's any way to autoscale only one end of the axis limits.
– busybear
Nov 13 '18 at 19:46
add a comment |
0
0
0
I need to create a figure which contains multiple Gaussian histograms from a list of parameters (pairs of mu and sigma). What I have so far:
import matplotlib.pyplot as plt
import seaborn as sns
from scipy import stats
import numpy as np
def single_camel_plot(mu, sigma, ax):
x = np.linspace(mu - 4*sigma, mu + 4*sigma, 1000)
sns.lineplot(x, stats.norm.pdf(x, mu, sigma), ax=ax)
ax.set_ylim(bottom=0)
fig, ax = plt.subplots()
mu_sigma_pairs = [(16900, 2100), (18200, 1500)]
for mu, sigma in mu_sigma_pairs:
single_camel_plot(mu, sigma, ax)
The output is this figure.
Ideally, the two histograms would use a single y-axis instead of a secondary axis, and the ylim should adjust to accomodate the tallest curve.
python matplotlib seaborn
asked Nov 13 '18 at 17:14
Xiaoyu LuXiaoyu Lu
431413
I need to create a figure which contains multiple Gaussian histograms from a list of parameters (pairs of mu and sigma). What I have so far:
import matplotlib.pyplot as plt
import seaborn as sns
from scipy import stats
import numpy as np
def single_camel_plot(mu, sigma, ax):
x = np.linspace(mu - 4*sigma, mu + 4*sigma, 1000)
sns.lineplot(x, stats.norm.pdf(x, mu, sigma), ax=ax)
ax.set_ylim(bottom=0)
fig, ax = plt.subplots()
mu_sigma_pairs = [(16900, 2100), (18200, 1500)]
for mu, sigma in mu_sigma_pairs:
single_camel_plot(mu, sigma, ax)
The output is this figure.
Ideally, the two histograms would use a single y-axis instead of a secondary axis, and the ylim should adjust to accomodate the tallest curve.
python matplotlib seaborn
python matplotlib seaborn
asked Nov 13 '18 at 17:14
Xiaoyu LuXiaoyu Lu
431413
asked Nov 13 '18 at 17:14
Xiaoyu LuXiaoyu Lu
431413
asked Nov 13 '18 at 17:14
Xiaoyu LuXiaoyu Lu
431413
asked Nov 13 '18 at 17:14
Xiaoyu LuXiaoyu Lu
431413
asked Nov 13 '18 at 17:14
Xiaoyu LuXiaoyu Lu
431413
431413
Seems to me that theset_ylim(bottom=0)is the culprit. After commented it out it no longer creates the problem. It's strange that somehow the other parametertopis also affected byset_ylimalthough I did not specify a value for it.
– Xiaoyu Lu
Nov 13 '18 at 17:17
Setting the limit (even one) for your y-axis will turn off autoscaling. I don't think there's any way to autoscale only one end of the axis limits.
– busybear
Nov 13 '18 at 19:46
add a comment |
Seems to me that theset_ylim(bottom=0)is the culprit. After commented it out it no longer creates the problem. It's strange that somehow the other parametertopis also affected byset_ylimalthough I did not specify a value for it.
– Xiaoyu Lu
Nov 13 '18 at 17:17
Setting the limit (even one) for your y-axis will turn off autoscaling. I don't think there's any way to autoscale only one end of the axis limits.
– busybear
Nov 13 '18 at 19:46
Seems to me that the
set_ylim(bottom=0) is the culprit. After commented it out it no longer creates the problem. It's strange that somehow the other parameter top is also affected by set_ylim although I did not specify a value for it.– Xiaoyu Lu
Nov 13 '18 at 17:17
Seems to me that the
set_ylim(bottom=0) is the culprit. After commented it out it no longer creates the problem. It's strange that somehow the other parameter top is also affected by set_ylim although I did not specify a value for it.– Xiaoyu Lu
Nov 13 '18 at 17:17
Setting the limit (even one) for your y-axis will turn off autoscaling. I don't think there's any way to autoscale only one end of the axis limits.
– busybear
Nov 13 '18 at 19:46
Setting the limit (even one) for your y-axis will turn off autoscaling. I don't think there's any way to autoscale only one end of the axis limits.
– busybear
Nov 13 '18 at 19:46
add a comment |
1 Answer
1
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oldest
votes
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You will need to set the limit outside the loop, such that it can autoscale when the plot is already filled.
import matplotlib.pyplot as plt
from scipy import stats
import numpy as np
def single_camel_plot(mu, sigma, ax):
x = np.linspace(mu - 4*sigma, mu + 4*sigma, 1000)
ax.plot(x, stats.norm.pdf(x, mu, sigma))
fig, ax = plt.subplots()
mu_sigma_pairs = [(16900, 2100), (18200, 1500)]
for mu, sigma in mu_sigma_pairs:
single_camel_plot(mu, sigma, ax)
ax.set_ylim(bottom=0) # <------- HERE
plt.show()
answered Nov 13 '18 at 20:33
ImportanceOfBeingErnestImportanceOfBeingErnest
129k12138215
add a comment |
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1 Answer
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1 Answer
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active
oldest
votes
active
oldest
votes
active
oldest
votes
1
You will need to set the limit outside the loop, such that it can autoscale when the plot is already filled.
import matplotlib.pyplot as plt
from scipy import stats
import numpy as np
def single_camel_plot(mu, sigma, ax):
x = np.linspace(mu - 4*sigma, mu + 4*sigma, 1000)
ax.plot(x, stats.norm.pdf(x, mu, sigma))
fig, ax = plt.subplots()
mu_sigma_pairs = [(16900, 2100), (18200, 1500)]
for mu, sigma in mu_sigma_pairs:
single_camel_plot(mu, sigma, ax)
ax.set_ylim(bottom=0) # <------- HERE
plt.show()
answered Nov 13 '18 at 20:33
ImportanceOfBeingErnestImportanceOfBeingErnest
129k12138215
add a comment |
1
You will need to set the limit outside the loop, such that it can autoscale when the plot is already filled.
import matplotlib.pyplot as plt
from scipy import stats
import numpy as np
def single_camel_plot(mu, sigma, ax):
x = np.linspace(mu - 4*sigma, mu + 4*sigma, 1000)
ax.plot(x, stats.norm.pdf(x, mu, sigma))
fig, ax = plt.subplots()
mu_sigma_pairs = [(16900, 2100), (18200, 1500)]
for mu, sigma in mu_sigma_pairs:
single_camel_plot(mu, sigma, ax)
ax.set_ylim(bottom=0) # <------- HERE
plt.show()
answered Nov 13 '18 at 20:33
ImportanceOfBeingErnestImportanceOfBeingErnest
129k12138215
add a comment |
1
1
1
You will need to set the limit outside the loop, such that it can autoscale when the plot is already filled.
import matplotlib.pyplot as plt
from scipy import stats
import numpy as np
def single_camel_plot(mu, sigma, ax):
x = np.linspace(mu - 4*sigma, mu + 4*sigma, 1000)
ax.plot(x, stats.norm.pdf(x, mu, sigma))
fig, ax = plt.subplots()
mu_sigma_pairs = [(16900, 2100), (18200, 1500)]
for mu, sigma in mu_sigma_pairs:
single_camel_plot(mu, sigma, ax)
ax.set_ylim(bottom=0) # <------- HERE
plt.show()
answered Nov 13 '18 at 20:33
ImportanceOfBeingErnestImportanceOfBeingErnest
129k12138215
You will need to set the limit outside the loop, such that it can autoscale when the plot is already filled.
import matplotlib.pyplot as plt
from scipy import stats
import numpy as np
def single_camel_plot(mu, sigma, ax):
x = np.linspace(mu - 4*sigma, mu + 4*sigma, 1000)
ax.plot(x, stats.norm.pdf(x, mu, sigma))
fig, ax = plt.subplots()
mu_sigma_pairs = [(16900, 2100), (18200, 1500)]
for mu, sigma in mu_sigma_pairs:
single_camel_plot(mu, sigma, ax)
ax.set_ylim(bottom=0) # <------- HERE
plt.show()
answered Nov 13 '18 at 20:33
ImportanceOfBeingErnestImportanceOfBeingErnest
129k12138215
answered Nov 13 '18 at 20:33
ImportanceOfBeingErnestImportanceOfBeingErnest
129k12138215
answered Nov 13 '18 at 20:33
ImportanceOfBeingErnestImportanceOfBeingErnest
129k12138215
answered Nov 13 '18 at 20:33
ImportanceOfBeingErnestImportanceOfBeingErnest
129k12138215
129k12138215
add a comment |
add a comment |
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Seems to me that the
set_ylim(bottom=0)is the culprit. After commented it out it no longer creates the problem. It's strange that somehow the other parametertopis also affected byset_ylimalthough I did not specify a value for it.– Xiaoyu Lu
Nov 13 '18 at 17:17
Setting the limit (even one) for your y-axis will turn off autoscaling. I don't think there's any way to autoscale only one end of the axis limits.
– busybear
Nov 13 '18 at 19:46