how to get color from a line plot
0
I want to plot several normal distributions, and add labels to each one in its line color. However the color does not seem to update.
import matplotlib.pyplot as plt
import seaborn as sns
import numpy as np
import scipy.stats as stats
def single_plot(mu, sigma, ax, label=None):
x = np.linspace(mu - 4*sigma, mu + 4*sigma, 1000)
ax = sns.lineplot(x, stats.norm.pdf(x, mu, sigma), ax=ax, label=label, zorder=2)
#my code to get color
color = ax.get_lines()[0].get_c() #fetch color of line
ax.text(mu, max(stats.norm.pdf(x, mu, sigma)), label, fontsize=16, color=color)
When put to use, however, this does not update the color with each line. If I try:
fig, ax = plt.subplots()
ax = single_plot(mu=1000, sigma=100, ax=ax, label='test1')
ax = single_plot(mu=1500, sigma=200, ax=ax, label='test2')
fig.show()
I am getting this figure. The label for "test2" was not updated.
I am wondering where I was wrong and how to fix this problem.
python matplotlib seaborn
asked Nov 13 '18 at 22:41
Xiaoyu LuXiaoyu Lu
431413
add a comment |
0
I want to plot several normal distributions, and add labels to each one in its line color. However the color does not seem to update.
import matplotlib.pyplot as plt
import seaborn as sns
import numpy as np
import scipy.stats as stats
def single_plot(mu, sigma, ax, label=None):
x = np.linspace(mu - 4*sigma, mu + 4*sigma, 1000)
ax = sns.lineplot(x, stats.norm.pdf(x, mu, sigma), ax=ax, label=label, zorder=2)
#my code to get color
color = ax.get_lines()[0].get_c() #fetch color of line
ax.text(mu, max(stats.norm.pdf(x, mu, sigma)), label, fontsize=16, color=color)
When put to use, however, this does not update the color with each line. If I try:
fig, ax = plt.subplots()
ax = single_plot(mu=1000, sigma=100, ax=ax, label='test1')
ax = single_plot(mu=1500, sigma=200, ax=ax, label='test2')
fig.show()
I am getting this figure. The label for "test2" was not updated.
I am wondering where I was wrong and how to fix this problem.
python matplotlib seaborn
asked Nov 13 '18 at 22:41
Xiaoyu LuXiaoyu Lu
431413
2
You might tryax.get_lines()[-1].get_c()to pick the last line's color.
– ImportanceOfBeingErnest
Nov 13 '18 at 22:43
Besides what @ImportanceOfBeingErnest mentions, why do you usecolor[:3]?
– b-fg
Nov 14 '18 at 3:27
@b-fg Oops. That is something that is not appropriate for this example data. I was giving different alpha values for each plot to make the most important curve stand out. However, if I use RGBA, the text appears so light for curves with small alpha that it was almost unreadable. Thus I used colors[:3] to only get the RGB. I have fixed it in the original question.
– Xiaoyu Lu
Nov 14 '18 at 3:32
so did the @ImportanceOfBeingErnest comment work?
– b-fg
Nov 14 '18 at 3:34
@b-fg it worked out great.
– Xiaoyu Lu
Nov 14 '18 at 3:35
add a comment |
0
0
0
I want to plot several normal distributions, and add labels to each one in its line color. However the color does not seem to update.
import matplotlib.pyplot as plt
import seaborn as sns
import numpy as np
import scipy.stats as stats
def single_plot(mu, sigma, ax, label=None):
x = np.linspace(mu - 4*sigma, mu + 4*sigma, 1000)
ax = sns.lineplot(x, stats.norm.pdf(x, mu, sigma), ax=ax, label=label, zorder=2)
#my code to get color
color = ax.get_lines()[0].get_c() #fetch color of line
ax.text(mu, max(stats.norm.pdf(x, mu, sigma)), label, fontsize=16, color=color)
When put to use, however, this does not update the color with each line. If I try:
fig, ax = plt.subplots()
ax = single_plot(mu=1000, sigma=100, ax=ax, label='test1')
ax = single_plot(mu=1500, sigma=200, ax=ax, label='test2')
fig.show()
I am getting this figure. The label for "test2" was not updated.
I am wondering where I was wrong and how to fix this problem.
python matplotlib seaborn
asked Nov 13 '18 at 22:41
Xiaoyu LuXiaoyu Lu
431413
I want to plot several normal distributions, and add labels to each one in its line color. However the color does not seem to update.
import matplotlib.pyplot as plt
import seaborn as sns
import numpy as np
import scipy.stats as stats
def single_plot(mu, sigma, ax, label=None):
x = np.linspace(mu - 4*sigma, mu + 4*sigma, 1000)
ax = sns.lineplot(x, stats.norm.pdf(x, mu, sigma), ax=ax, label=label, zorder=2)
#my code to get color
color = ax.get_lines()[0].get_c() #fetch color of line
ax.text(mu, max(stats.norm.pdf(x, mu, sigma)), label, fontsize=16, color=color)
When put to use, however, this does not update the color with each line. If I try:
fig, ax = plt.subplots()
ax = single_plot(mu=1000, sigma=100, ax=ax, label='test1')
ax = single_plot(mu=1500, sigma=200, ax=ax, label='test2')
fig.show()
I am getting this figure. The label for "test2" was not updated.
I am wondering where I was wrong and how to fix this problem.
python matplotlib seaborn
python matplotlib seaborn
asked Nov 13 '18 at 22:41
Xiaoyu LuXiaoyu Lu
431413
asked Nov 13 '18 at 22:41
Xiaoyu LuXiaoyu Lu
431413
edited Nov 14 '18 at 3:29
Xiaoyu Lu
asked Nov 13 '18 at 22:41
Xiaoyu LuXiaoyu Lu
431413
asked Nov 13 '18 at 22:41
Xiaoyu LuXiaoyu Lu
431413
asked Nov 13 '18 at 22:41
Xiaoyu LuXiaoyu Lu
431413
431413
2
You might tryax.get_lines()[-1].get_c()to pick the last line's color.
– ImportanceOfBeingErnest
Nov 13 '18 at 22:43
Besides what @ImportanceOfBeingErnest mentions, why do you usecolor[:3]?
– b-fg
Nov 14 '18 at 3:27
@b-fg Oops. That is something that is not appropriate for this example data. I was giving different alpha values for each plot to make the most important curve stand out. However, if I use RGBA, the text appears so light for curves with small alpha that it was almost unreadable. Thus I used colors[:3] to only get the RGB. I have fixed it in the original question.
– Xiaoyu Lu
Nov 14 '18 at 3:32
so did the @ImportanceOfBeingErnest comment work?
– b-fg
Nov 14 '18 at 3:34
@b-fg it worked out great.
– Xiaoyu Lu
Nov 14 '18 at 3:35
add a comment |
2
You might tryax.get_lines()[-1].get_c()to pick the last line's color.
– ImportanceOfBeingErnest
Nov 13 '18 at 22:43
Besides what @ImportanceOfBeingErnest mentions, why do you usecolor[:3]?
– b-fg
Nov 14 '18 at 3:27
@b-fg Oops. That is something that is not appropriate for this example data. I was giving different alpha values for each plot to make the most important curve stand out. However, if I use RGBA, the text appears so light for curves with small alpha that it was almost unreadable. Thus I used colors[:3] to only get the RGB. I have fixed it in the original question.
– Xiaoyu Lu
Nov 14 '18 at 3:32
so did the @ImportanceOfBeingErnest comment work?
– b-fg
Nov 14 '18 at 3:34
@b-fg it worked out great.
– Xiaoyu Lu
Nov 14 '18 at 3:35
2
2
You might try
ax.get_lines()[-1].get_c() to pick the last line's color.– ImportanceOfBeingErnest
Nov 13 '18 at 22:43
You might try
ax.get_lines()[-1].get_c() to pick the last line's color.– ImportanceOfBeingErnest
Nov 13 '18 at 22:43
Besides what @ImportanceOfBeingErnest mentions, why do you use
color[:3]?– b-fg
Nov 14 '18 at 3:27
Besides what @ImportanceOfBeingErnest mentions, why do you use
color[:3]?– b-fg
Nov 14 '18 at 3:27
@b-fg Oops. That is something that is not appropriate for this example data. I was giving different alpha values for each plot to make the most important curve stand out. However, if I use RGBA, the text appears so light for curves with small alpha that it was almost unreadable. Thus I used colors[:3] to only get the RGB. I have fixed it in the original question.
– Xiaoyu Lu
Nov 14 '18 at 3:32
@b-fg Oops. That is something that is not appropriate for this example data. I was giving different alpha values for each plot to make the most important curve stand out. However, if I use RGBA, the text appears so light for curves with small alpha that it was almost unreadable. Thus I used colors[:3] to only get the RGB. I have fixed it in the original question.
– Xiaoyu Lu
Nov 14 '18 at 3:32
so did the @ImportanceOfBeingErnest comment work?
– b-fg
Nov 14 '18 at 3:34
so did the @ImportanceOfBeingErnest comment work?
– b-fg
Nov 14 '18 at 3:34
@b-fg it worked out great.
– Xiaoyu Lu
Nov 14 '18 at 3:35
@b-fg it worked out great.
– Xiaoyu Lu
Nov 14 '18 at 3:35
add a comment |
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2
You might try
ax.get_lines()[-1].get_c()to pick the last line's color.– ImportanceOfBeingErnest
Nov 13 '18 at 22:43
Besides what @ImportanceOfBeingErnest mentions, why do you use
color[:3]?– b-fg
Nov 14 '18 at 3:27
@b-fg Oops. That is something that is not appropriate for this example data. I was giving different alpha values for each plot to make the most important curve stand out. However, if I use RGBA, the text appears so light for curves with small alpha that it was almost unreadable. Thus I used colors[:3] to only get the RGB. I have fixed it in the original question.
– Xiaoyu Lu
Nov 14 '18 at 3:32
so did the @ImportanceOfBeingErnest comment work?
– b-fg
Nov 14 '18 at 3:34
@b-fg it worked out great.
– Xiaoyu Lu
Nov 14 '18 at 3:35