Python - can you plot a histogram with a contour?
I want to plot a histogram with a contour like this
I found this picture in here, but after following the same procedure there I don't get the contour.
I saw this question in stack overflow but it draws an edge over each bar, and I want only the outer contour.
How can I draw this outer contour? (I'm running python 3)
python matplotlib histogram draw
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I want to plot a histogram with a contour like this
I found this picture in here, but after following the same procedure there I don't get the contour.
I saw this question in stack overflow but it draws an edge over each bar, and I want only the outer contour.
How can I draw this outer contour? (I'm running python 3)
python matplotlib histogram draw
add a comment |
I want to plot a histogram with a contour like this
I found this picture in here, but after following the same procedure there I don't get the contour.
I saw this question in stack overflow but it draws an edge over each bar, and I want only the outer contour.
How can I draw this outer contour? (I'm running python 3)
python matplotlib histogram draw
I want to plot a histogram with a contour like this
I found this picture in here, but after following the same procedure there I don't get the contour.
I saw this question in stack overflow but it draws an edge over each bar, and I want only the outer contour.
How can I draw this outer contour? (I'm running python 3)
python matplotlib histogram draw
python matplotlib histogram draw
edited Dec 27 '18 at 10:52
Rohan Nadagouda
265313
265313
asked Nov 18 '18 at 10:09
bobsacamenobobsacameno
4222622
4222622
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add a comment |
1 Answer
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The plot is probably produced with a different (i.e. older) matplotlib version. This can also be seen from the use of normed
, which is deprecated in newer versions.
Here, you would explicitely set the edgecolor to black.
ec="k"
, or longer, edgecolor="black"
.
import numpy as np
import matplotlib.pyplot as plt
plt.style.use('seaborn-white')
x1 = np.random.normal(0, 0.8, 1000)
x2 = np.random.normal(-2, 1, 1000)
x3 = np.random.normal(3, 2, 1000)
kwargs = dict(histtype='stepfilled', alpha=0.3, density=True, bins=40, ec="k")
plt.hist(x1, **kwargs)
plt.hist(x2, **kwargs)
plt.hist(x3, **kwargs);
plt.show()
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
The plot is probably produced with a different (i.e. older) matplotlib version. This can also be seen from the use of normed
, which is deprecated in newer versions.
Here, you would explicitely set the edgecolor to black.
ec="k"
, or longer, edgecolor="black"
.
import numpy as np
import matplotlib.pyplot as plt
plt.style.use('seaborn-white')
x1 = np.random.normal(0, 0.8, 1000)
x2 = np.random.normal(-2, 1, 1000)
x3 = np.random.normal(3, 2, 1000)
kwargs = dict(histtype='stepfilled', alpha=0.3, density=True, bins=40, ec="k")
plt.hist(x1, **kwargs)
plt.hist(x2, **kwargs)
plt.hist(x3, **kwargs);
plt.show()
add a comment |
The plot is probably produced with a different (i.e. older) matplotlib version. This can also be seen from the use of normed
, which is deprecated in newer versions.
Here, you would explicitely set the edgecolor to black.
ec="k"
, or longer, edgecolor="black"
.
import numpy as np
import matplotlib.pyplot as plt
plt.style.use('seaborn-white')
x1 = np.random.normal(0, 0.8, 1000)
x2 = np.random.normal(-2, 1, 1000)
x3 = np.random.normal(3, 2, 1000)
kwargs = dict(histtype='stepfilled', alpha=0.3, density=True, bins=40, ec="k")
plt.hist(x1, **kwargs)
plt.hist(x2, **kwargs)
plt.hist(x3, **kwargs);
plt.show()
add a comment |
The plot is probably produced with a different (i.e. older) matplotlib version. This can also be seen from the use of normed
, which is deprecated in newer versions.
Here, you would explicitely set the edgecolor to black.
ec="k"
, or longer, edgecolor="black"
.
import numpy as np
import matplotlib.pyplot as plt
plt.style.use('seaborn-white')
x1 = np.random.normal(0, 0.8, 1000)
x2 = np.random.normal(-2, 1, 1000)
x3 = np.random.normal(3, 2, 1000)
kwargs = dict(histtype='stepfilled', alpha=0.3, density=True, bins=40, ec="k")
plt.hist(x1, **kwargs)
plt.hist(x2, **kwargs)
plt.hist(x3, **kwargs);
plt.show()
The plot is probably produced with a different (i.e. older) matplotlib version. This can also be seen from the use of normed
, which is deprecated in newer versions.
Here, you would explicitely set the edgecolor to black.
ec="k"
, or longer, edgecolor="black"
.
import numpy as np
import matplotlib.pyplot as plt
plt.style.use('seaborn-white')
x1 = np.random.normal(0, 0.8, 1000)
x2 = np.random.normal(-2, 1, 1000)
x3 = np.random.normal(3, 2, 1000)
kwargs = dict(histtype='stepfilled', alpha=0.3, density=True, bins=40, ec="k")
plt.hist(x1, **kwargs)
plt.hist(x2, **kwargs)
plt.hist(x3, **kwargs);
plt.show()
answered Nov 18 '18 at 10:58
ImportanceOfBeingErnestImportanceOfBeingErnest
131k13143218
131k13143218
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