Creating a 3d barchart but very similar to 2d
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I'm new to matplotlib and I'd like to some a barchart almost equal to this image.
As you can see, there's a line that represents the average of all bars, it's basically a 2D bar chart in a fancy, 3d portrayal.
I have some code already but only works for 2d:
import numpy as np
import matplotlib.pyplot as plt
chart = plt.figure()#figsize=(15, 15)
ax = chart.add_subplot(111)
tags = ('Python', 'C++', 'Java', 'Perl', 'Scala', 'Lisp')
x = np.arange(len(tags))
performance = [5, 8, 6, 4, 2, 1]
avg =
items = len(performance)
index = 0
while index < items:
avg.append(float(float(sum(performance))/float(len(performance))))
index += 1
ax.yaxis.grid(zorder=0)
ax.set_axisbelow(True)
ax.spines['right'].set_visible(False)
ax.spines['top'].set_visible(False)
ax.spines['left'].set_visible(False)
ax.spines['bottom'].set_color('#EBE8E6')
ax.spines['bottom'].set_linewidth(2)
#plt.rc('axes', axisbelow=True)
ax.bar(x, performance, align='center', alpha=1, zorder=4, color='#5D9BCF')
ax.plot(x, avg)
plt.xticks(x, tags)
plt.tick_params(
axis='both',
which='both',
bottom=False,
left=False)
chart.savefig('foo.png', bbox_inches='tight')
But obviously I'm not anywhere near a 3D chart, please help me.
python-3.x matplotlib 3d 2d bar-chart
asked Nov 27 '18 at 2:02
Loscil94Loscil94
31
add a comment |
0
I'm new to matplotlib and I'd like to some a barchart almost equal to this image.
As you can see, there's a line that represents the average of all bars, it's basically a 2D bar chart in a fancy, 3d portrayal.
I have some code already but only works for 2d:
import numpy as np
import matplotlib.pyplot as plt
chart = plt.figure()#figsize=(15, 15)
ax = chart.add_subplot(111)
tags = ('Python', 'C++', 'Java', 'Perl', 'Scala', 'Lisp')
x = np.arange(len(tags))
performance = [5, 8, 6, 4, 2, 1]
avg =
items = len(performance)
index = 0
while index < items:
avg.append(float(float(sum(performance))/float(len(performance))))
index += 1
ax.yaxis.grid(zorder=0)
ax.set_axisbelow(True)
ax.spines['right'].set_visible(False)
ax.spines['top'].set_visible(False)
ax.spines['left'].set_visible(False)
ax.spines['bottom'].set_color('#EBE8E6')
ax.spines['bottom'].set_linewidth(2)
#plt.rc('axes', axisbelow=True)
ax.bar(x, performance, align='center', alpha=1, zorder=4, color='#5D9BCF')
ax.plot(x, avg)
plt.xticks(x, tags)
plt.tick_params(
axis='both',
which='both',
bottom=False,
left=False)
chart.savefig('foo.png', bbox_inches='tight')
But obviously I'm not anywhere near a 3D chart, please help me.
python-3.x matplotlib 3d 2d bar-chart
asked Nov 27 '18 at 2:02
Loscil94Loscil94
31
Have a look here for similar question
– Sheldore
Nov 27 '18 at 11:36
add a comment |
0
0
0
I'm new to matplotlib and I'd like to some a barchart almost equal to this image.
As you can see, there's a line that represents the average of all bars, it's basically a 2D bar chart in a fancy, 3d portrayal.
I have some code already but only works for 2d:
import numpy as np
import matplotlib.pyplot as plt
chart = plt.figure()#figsize=(15, 15)
ax = chart.add_subplot(111)
tags = ('Python', 'C++', 'Java', 'Perl', 'Scala', 'Lisp')
x = np.arange(len(tags))
performance = [5, 8, 6, 4, 2, 1]
avg =
items = len(performance)
index = 0
while index < items:
avg.append(float(float(sum(performance))/float(len(performance))))
index += 1
ax.yaxis.grid(zorder=0)
ax.set_axisbelow(True)
ax.spines['right'].set_visible(False)
ax.spines['top'].set_visible(False)
ax.spines['left'].set_visible(False)
ax.spines['bottom'].set_color('#EBE8E6')
ax.spines['bottom'].set_linewidth(2)
#plt.rc('axes', axisbelow=True)
ax.bar(x, performance, align='center', alpha=1, zorder=4, color='#5D9BCF')
ax.plot(x, avg)
plt.xticks(x, tags)
plt.tick_params(
axis='both',
which='both',
bottom=False,
left=False)
chart.savefig('foo.png', bbox_inches='tight')
But obviously I'm not anywhere near a 3D chart, please help me.
python-3.x matplotlib 3d 2d bar-chart
asked Nov 27 '18 at 2:02
Loscil94Loscil94
31
I'm new to matplotlib and I'd like to some a barchart almost equal to this image.
As you can see, there's a line that represents the average of all bars, it's basically a 2D bar chart in a fancy, 3d portrayal.
I have some code already but only works for 2d:
import numpy as np
import matplotlib.pyplot as plt
chart = plt.figure()#figsize=(15, 15)
ax = chart.add_subplot(111)
tags = ('Python', 'C++', 'Java', 'Perl', 'Scala', 'Lisp')
x = np.arange(len(tags))
performance = [5, 8, 6, 4, 2, 1]
avg =
items = len(performance)
index = 0
while index < items:
avg.append(float(float(sum(performance))/float(len(performance))))
index += 1
ax.yaxis.grid(zorder=0)
ax.set_axisbelow(True)
ax.spines['right'].set_visible(False)
ax.spines['top'].set_visible(False)
ax.spines['left'].set_visible(False)
ax.spines['bottom'].set_color('#EBE8E6')
ax.spines['bottom'].set_linewidth(2)
#plt.rc('axes', axisbelow=True)
ax.bar(x, performance, align='center', alpha=1, zorder=4, color='#5D9BCF')
ax.plot(x, avg)
plt.xticks(x, tags)
plt.tick_params(
axis='both',
which='both',
bottom=False,
left=False)
chart.savefig('foo.png', bbox_inches='tight')
But obviously I'm not anywhere near a 3D chart, please help me.
python-3.x matplotlib 3d 2d bar-chart
python-3.x matplotlib 3d 2d bar-chart
asked Nov 27 '18 at 2:02
Loscil94Loscil94
31
asked Nov 27 '18 at 2:02
Loscil94Loscil94
31
asked Nov 27 '18 at 2:02
Loscil94Loscil94
31
asked Nov 27 '18 at 2:02
Loscil94Loscil94
31
asked Nov 27 '18 at 2:02
Loscil94Loscil94
31
31
Have a look here for similar question
– Sheldore
Nov 27 '18 at 11:36
add a comment |
Have a look here for similar question
– Sheldore
Nov 27 '18 at 11:36
Have a look here for similar question
– Sheldore
Nov 27 '18 at 11:36
Have a look here for similar question
– Sheldore
Nov 27 '18 at 11:36
add a comment |
0
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Have a look here for similar question
– Sheldore
Nov 27 '18 at 11:36