matplotlib/pyplot - make axes (ordinate and abscissa) bold
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Is there a way to make the x=0 and y=0 (the ordinate and abscissa) axes in a Cartesian plot bold?
For example, a simple plot is:
x = np.arange(0.01, 5, 0.1)
y = np.log(x)
plt.plot(x,y)
plt.grid()
Which looks like:
I can add this 'hack':
x = np.arange(0.01, 5, 0.1)
y = np.log(x)
plt.plot(x,y)
plt.grid()
plt.plot(x,0*x, 'k')
plt.plot(x*0,x, 'k')
plt.plot(x*0,-x, 'k')
Then I get:
Is there a way to make this a bit less hacky - an API or a more sophisticated solution?
python pandas numpy matplotlib
asked Nov 25 '18 at 12:24
s5ss5s
2,429114583
add a comment |
Is there a way to make the x=0 and y=0 (the ordinate and abscissa) axes in a Cartesian plot bold?
For example, a simple plot is:
x = np.arange(0.01, 5, 0.1)
y = np.log(x)
plt.plot(x,y)
plt.grid()
Which looks like:
I can add this 'hack':
x = np.arange(0.01, 5, 0.1)
y = np.log(x)
plt.plot(x,y)
plt.grid()
plt.plot(x,0*x, 'k')
plt.plot(x*0,x, 'k')
plt.plot(x*0,-x, 'k')
Then I get:
Is there a way to make this a bit less hacky - an API or a more sophisticated solution?
python pandas numpy matplotlib
asked Nov 25 '18 at 12:24
s5ss5s
2,429114583
add a comment |
Is there a way to make the x=0 and y=0 (the ordinate and abscissa) axes in a Cartesian plot bold?
For example, a simple plot is:
x = np.arange(0.01, 5, 0.1)
y = np.log(x)
plt.plot(x,y)
plt.grid()
Which looks like:
I can add this 'hack':
x = np.arange(0.01, 5, 0.1)
y = np.log(x)
plt.plot(x,y)
plt.grid()
plt.plot(x,0*x, 'k')
plt.plot(x*0,x, 'k')
plt.plot(x*0,-x, 'k')
Then I get:
Is there a way to make this a bit less hacky - an API or a more sophisticated solution?
python pandas numpy matplotlib
asked Nov 25 '18 at 12:24
s5ss5s
2,429114583
Is there a way to make the x=0 and y=0 (the ordinate and abscissa) axes in a Cartesian plot bold?
For example, a simple plot is:
x = np.arange(0.01, 5, 0.1)
y = np.log(x)
plt.plot(x,y)
plt.grid()
Which looks like:
I can add this 'hack':
x = np.arange(0.01, 5, 0.1)
y = np.log(x)
plt.plot(x,y)
plt.grid()
plt.plot(x,0*x, 'k')
plt.plot(x*0,x, 'k')
plt.plot(x*0,-x, 'k')
Then I get:
Is there a way to make this a bit less hacky - an API or a more sophisticated solution?
python pandas numpy matplotlib
python pandas numpy matplotlib
asked Nov 25 '18 at 12:24
s5ss5s
2,429114583
asked Nov 25 '18 at 12:24
s5ss5s
2,429114583
edited Nov 25 '18 at 12:30
s5s
asked Nov 25 '18 at 12:24
s5ss5s
2,429114583
asked Nov 25 '18 at 12:24
s5ss5s
2,429114583
asked Nov 25 '18 at 12:24
s5ss5s
2,429114583
2,429114583
add a comment |
add a comment |
2 Answers
2
active
oldest
votes
Please see the code below:
fig, ax = plt.subplots(1, 1, figsize=(9, 9))
ax.plot(x, y)
ax.grid(True)
ax.axhline(y=0, lw=5, color='k')
ax.axvline(x=0, lw=5, color='k')
From a practical view, I always use artist to make matplotlib plots, making adjustment of properties much easier.
answered Nov 25 '18 at 12:34
ted930511ted930511
300115
add a comment |
Nice answer, I would add to it that you can also pass color (e.g. color='k') in the axhline and axvline keywords to keep it black, if you want, in addition to tweaking lw to set the linewidth to your choosing
answered Nov 26 '18 at 19:19
MstainoMstaino
2,1321413
add a comment |
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2 Answers
2
active
oldest
votes
2 Answers
2
active
oldest
votes
active
oldest
votes
active
oldest
votes
Please see the code below:
fig, ax = plt.subplots(1, 1, figsize=(9, 9))
ax.plot(x, y)
ax.grid(True)
ax.axhline(y=0, lw=5, color='k')
ax.axvline(x=0, lw=5, color='k')
From a practical view, I always use artist to make matplotlib plots, making adjustment of properties much easier.
answered Nov 25 '18 at 12:34
ted930511ted930511
300115
add a comment |
Please see the code below:
fig, ax = plt.subplots(1, 1, figsize=(9, 9))
ax.plot(x, y)
ax.grid(True)
ax.axhline(y=0, lw=5, color='k')
ax.axvline(x=0, lw=5, color='k')
From a practical view, I always use artist to make matplotlib plots, making adjustment of properties much easier.
answered Nov 25 '18 at 12:34
ted930511ted930511
300115
add a comment |
Please see the code below:
fig, ax = plt.subplots(1, 1, figsize=(9, 9))
ax.plot(x, y)
ax.grid(True)
ax.axhline(y=0, lw=5, color='k')
ax.axvline(x=0, lw=5, color='k')
From a practical view, I always use artist to make matplotlib plots, making adjustment of properties much easier.
answered Nov 25 '18 at 12:34
ted930511ted930511
300115
Please see the code below:
fig, ax = plt.subplots(1, 1, figsize=(9, 9))
ax.plot(x, y)
ax.grid(True)
ax.axhline(y=0, lw=5, color='k')
ax.axvline(x=0, lw=5, color='k')
From a practical view, I always use artist to make matplotlib plots, making adjustment of properties much easier.
answered Nov 25 '18 at 12:34
ted930511ted930511
300115
edited Nov 27 '18 at 13:18
answered Nov 25 '18 at 12:34
ted930511ted930511
300115
answered Nov 25 '18 at 12:34
ted930511ted930511
300115
answered Nov 25 '18 at 12:34
ted930511ted930511
300115
300115
add a comment |
add a comment |
Nice answer, I would add to it that you can also pass color (e.g. color='k') in the axhline and axvline keywords to keep it black, if you want, in addition to tweaking lw to set the linewidth to your choosing
answered Nov 26 '18 at 19:19
MstainoMstaino
2,1321413
add a comment |
Nice answer, I would add to it that you can also pass color (e.g. color='k') in the axhline and axvline keywords to keep it black, if you want, in addition to tweaking lw to set the linewidth to your choosing
answered Nov 26 '18 at 19:19
MstainoMstaino
2,1321413
add a comment |
Nice answer, I would add to it that you can also pass color (e.g. color='k') in the axhline and axvline keywords to keep it black, if you want, in addition to tweaking lw to set the linewidth to your choosing
answered Nov 26 '18 at 19:19
MstainoMstaino
2,1321413
Nice answer, I would add to it that you can also pass color (e.g. color='k') in the axhline and axvline keywords to keep it black, if you want, in addition to tweaking lw to set the linewidth to your choosing
answered Nov 26 '18 at 19:19
MstainoMstaino
2,1321413
answered Nov 26 '18 at 19:19
MstainoMstaino
2,1321413
answered Nov 26 '18 at 19:19
MstainoMstaino
2,1321413
answered Nov 26 '18 at 19:19
MstainoMstaino
2,1321413
2,1321413
add a comment |
add a comment |
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