Q-Q plot in one figure instead of 9 subplots python
I have a code in which I plot the Q-Q distribution of nine stocks (iN = 9). So I have one figure with 9 subplots. However, I want to have these 9 subplots into one big plot, so one figure. Currently my code is:
fig, axes = plt.subplots(nrows=6, ncols=2, figsize=(9,20))
ax= axes.flatten()
for i in range(iN):
sm.qqplot((mY[i,:]), fit = True, line='q', ax=ax[i])
ax[i].legend(asX2[i])
plt.savefig('NSE_mY_QQplot_norm.jpg', bbox_inches='tight')
plt.show()
So I changed the code to this:
fig= plt.figure(figsize=(9,20))
for i in range(iN):
sm.qqplot((mY[i,:]), fit = True, line='q', ax=ax[i])
ax[i].legend(asX2[i])
plt.savefig('NSE_mY_QQplot_norm.jpg', bbox_inches='tight')
plt.show()
But then I do not get a figure at all. Only this note after I run it:
matplotlib.figure.Figure at 0x1c22325828
Help is appreciated, thanks!!
python matplotlib plot distribution figure
edited Nov 19 '18 at 14:58
Severin Pappadeux
9,49621432
asked Nov 19 '18 at 7:42
user9891079user9891079
297
add a comment |
I have a code in which I plot the Q-Q distribution of nine stocks (iN = 9). So I have one figure with 9 subplots. However, I want to have these 9 subplots into one big plot, so one figure. Currently my code is:
fig, axes = plt.subplots(nrows=6, ncols=2, figsize=(9,20))
ax= axes.flatten()
for i in range(iN):
sm.qqplot((mY[i,:]), fit = True, line='q', ax=ax[i])
ax[i].legend(asX2[i])
plt.savefig('NSE_mY_QQplot_norm.jpg', bbox_inches='tight')
plt.show()
So I changed the code to this:
fig= plt.figure(figsize=(9,20))
for i in range(iN):
sm.qqplot((mY[i,:]), fit = True, line='q', ax=ax[i])
ax[i].legend(asX2[i])
plt.savefig('NSE_mY_QQplot_norm.jpg', bbox_inches='tight')
plt.show()
But then I do not get a figure at all. Only this note after I run it:
matplotlib.figure.Figure at 0x1c22325828
Help is appreciated, thanks!!
python matplotlib plot distribution figure
edited Nov 19 '18 at 14:58
Severin Pappadeux
9,49621432
asked Nov 19 '18 at 7:42
user9891079user9891079
297
Have you tried usingplt.subplots()withnrows = 1andncols = 1? You get of course only one element inaxes, so you don't have to flatten it and index it.
– Mr. T
Nov 19 '18 at 21:00
add a comment |
I have a code in which I plot the Q-Q distribution of nine stocks (iN = 9). So I have one figure with 9 subplots. However, I want to have these 9 subplots into one big plot, so one figure. Currently my code is:
fig, axes = plt.subplots(nrows=6, ncols=2, figsize=(9,20))
ax= axes.flatten()
for i in range(iN):
sm.qqplot((mY[i,:]), fit = True, line='q', ax=ax[i])
ax[i].legend(asX2[i])
plt.savefig('NSE_mY_QQplot_norm.jpg', bbox_inches='tight')
plt.show()
So I changed the code to this:
fig= plt.figure(figsize=(9,20))
for i in range(iN):
sm.qqplot((mY[i,:]), fit = True, line='q', ax=ax[i])
ax[i].legend(asX2[i])
plt.savefig('NSE_mY_QQplot_norm.jpg', bbox_inches='tight')
plt.show()
But then I do not get a figure at all. Only this note after I run it:
matplotlib.figure.Figure at 0x1c22325828
Help is appreciated, thanks!!
python matplotlib plot distribution figure
edited Nov 19 '18 at 14:58
Severin Pappadeux
9,49621432
asked Nov 19 '18 at 7:42
user9891079user9891079
297
I have a code in which I plot the Q-Q distribution of nine stocks (iN = 9). So I have one figure with 9 subplots. However, I want to have these 9 subplots into one big plot, so one figure. Currently my code is:
fig, axes = plt.subplots(nrows=6, ncols=2, figsize=(9,20))
ax= axes.flatten()
for i in range(iN):
sm.qqplot((mY[i,:]), fit = True, line='q', ax=ax[i])
ax[i].legend(asX2[i])
plt.savefig('NSE_mY_QQplot_norm.jpg', bbox_inches='tight')
plt.show()
So I changed the code to this:
fig= plt.figure(figsize=(9,20))
for i in range(iN):
sm.qqplot((mY[i,:]), fit = True, line='q', ax=ax[i])
ax[i].legend(asX2[i])
plt.savefig('NSE_mY_QQplot_norm.jpg', bbox_inches='tight')
plt.show()
But then I do not get a figure at all. Only this note after I run it:
matplotlib.figure.Figure at 0x1c22325828
Help is appreciated, thanks!!
python matplotlib plot distribution figure
python matplotlib plot distribution figure
edited Nov 19 '18 at 14:58
Severin Pappadeux
9,49621432
asked Nov 19 '18 at 7:42
user9891079user9891079
297
edited Nov 19 '18 at 14:58
Severin Pappadeux
9,49621432
asked Nov 19 '18 at 7:42
user9891079user9891079
297
edited Nov 19 '18 at 14:58
Severin Pappadeux
9,49621432
edited Nov 19 '18 at 14:58
Severin Pappadeux
9,49621432
edited Nov 19 '18 at 14:58
Severin Pappadeux
9,49621432
9,49621432
asked Nov 19 '18 at 7:42
user9891079user9891079
297
asked Nov 19 '18 at 7:42
user9891079user9891079
297
asked Nov 19 '18 at 7:42
user9891079user9891079
297
297
Have you tried usingplt.subplots()withnrows = 1andncols = 1? You get of course only one element inaxes, so you don't have to flatten it and index it.
– Mr. T
Nov 19 '18 at 21:00
add a comment |
Have you tried usingplt.subplots()withnrows = 1andncols = 1? You get of course only one element inaxes, so you don't have to flatten it and index it.
– Mr. T
Nov 19 '18 at 21:00
Have you tried using
plt.subplots() with nrows = 1 and ncols = 1? You get of course only one element in axes, so you don't have to flatten it and index it.– Mr. T
Nov 19 '18 at 21:00
Have you tried using
plt.subplots() with nrows = 1 and ncols = 1? You get of course only one element in axes, so you don't have to flatten it and index it.– Mr. T
Nov 19 '18 at 21:00
add a comment |
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Have you tried using
plt.subplots()withnrows = 1andncols = 1? You get of course only one element inaxes, so you don't have to flatten it and index it.– Mr. T
Nov 19 '18 at 21:00