Matplotlib Histogram with no lines between the bars
I want to plot a histogram with matplotlib that has lines delineating the histogram, but with no lines between the bars. Something like this:
How can I do that?
python matplotlib
edited Nov 22 '18 at 14:39
DavidG
11.3k103242
asked Nov 22 '18 at 14:13
Vladimir VargasVladimir Vargas
466621
add a comment |
I want to plot a histogram with matplotlib that has lines delineating the histogram, but with no lines between the bars. Something like this:
How can I do that?
python matplotlib
edited Nov 22 '18 at 14:39
DavidG
11.3k103242
asked Nov 22 '18 at 14:13
Vladimir VargasVladimir Vargas
466621
add a comment |
I want to plot a histogram with matplotlib that has lines delineating the histogram, but with no lines between the bars. Something like this:
How can I do that?
python matplotlib
edited Nov 22 '18 at 14:39
DavidG
11.3k103242
asked Nov 22 '18 at 14:13
Vladimir VargasVladimir Vargas
466621
I want to plot a histogram with matplotlib that has lines delineating the histogram, but with no lines between the bars. Something like this:
How can I do that?
python matplotlib
python matplotlib
edited Nov 22 '18 at 14:39
DavidG
11.3k103242
asked Nov 22 '18 at 14:13
Vladimir VargasVladimir Vargas
466621
edited Nov 22 '18 at 14:39
DavidG
11.3k103242
asked Nov 22 '18 at 14:13
Vladimir VargasVladimir Vargas
466621
edited Nov 22 '18 at 14:39
DavidG
11.3k103242
edited Nov 22 '18 at 14:39
DavidG
11.3k103242
edited Nov 22 '18 at 14:39
DavidG
11.3k103242
11.3k103242
asked Nov 22 '18 at 14:13
Vladimir VargasVladimir Vargas
466621
asked Nov 22 '18 at 14:13
Vladimir VargasVladimir Vargas
466621
asked Nov 22 '18 at 14:13
Vladimir VargasVladimir Vargas
466621
466621
add a comment |
add a comment |
1 Answer
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votes
Using plt.hist(), you need to create the histogram using the argument histtype="stepfilled" and set the edgecolor of the patches, which is by default set to None, in order to get the histogram the way you desire:
import numpy as np
import matplotlib.pyplot as plt
data = np.random.randn(10000)
plt.hist(data, histtype="stepfilled", edgecolor='k', linewidth=1.2)
answered Nov 22 '18 at 14:37
DavidGDavidG
11.3k103242
add a comment |
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
Using plt.hist(), you need to create the histogram using the argument histtype="stepfilled" and set the edgecolor of the patches, which is by default set to None, in order to get the histogram the way you desire:
import numpy as np
import matplotlib.pyplot as plt
data = np.random.randn(10000)
plt.hist(data, histtype="stepfilled", edgecolor='k', linewidth=1.2)
answered Nov 22 '18 at 14:37
DavidGDavidG
11.3k103242
add a comment |
Using plt.hist(), you need to create the histogram using the argument histtype="stepfilled" and set the edgecolor of the patches, which is by default set to None, in order to get the histogram the way you desire:
import numpy as np
import matplotlib.pyplot as plt
data = np.random.randn(10000)
plt.hist(data, histtype="stepfilled", edgecolor='k', linewidth=1.2)
answered Nov 22 '18 at 14:37
DavidGDavidG
11.3k103242
add a comment |
Using plt.hist(), you need to create the histogram using the argument histtype="stepfilled" and set the edgecolor of the patches, which is by default set to None, in order to get the histogram the way you desire:
import numpy as np
import matplotlib.pyplot as plt
data = np.random.randn(10000)
plt.hist(data, histtype="stepfilled", edgecolor='k', linewidth=1.2)
answered Nov 22 '18 at 14:37
DavidGDavidG
11.3k103242
Using plt.hist(), you need to create the histogram using the argument histtype="stepfilled" and set the edgecolor of the patches, which is by default set to None, in order to get the histogram the way you desire:
import numpy as np
import matplotlib.pyplot as plt
data = np.random.randn(10000)
plt.hist(data, histtype="stepfilled", edgecolor='k', linewidth=1.2)
answered Nov 22 '18 at 14:37
DavidGDavidG
11.3k103242
answered Nov 22 '18 at 14:37
DavidGDavidG
11.3k103242
answered Nov 22 '18 at 14:37
DavidGDavidG
11.3k103242
answered Nov 22 '18 at 14:37
DavidGDavidG
11.3k103242
11.3k103242
add a comment |
add a comment |
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