This has been asked before, and I just filed a ticket [1]. Can anyone think of a better way to do something like this? The fill_between below is pretty suboptimal IMO.
import matplotlib.pyplot as plt
import numpy as np
t_sec = np.arange(6)
velocity = np.array([24., 33., 40., 45., 48., 49.])
fig, ax = plt.subplots(figsize=(10,6))
lines = ax.plot(t_sec, velocity, ‘mo’)
ax.margins(.01)
ax.grid(False)
ax.set_ylim(0, 53);
steps = ax.step(t_sec, velocity, where=‘post’, color=‘black’)
filed = ax.fill_between(np.linspace(0, 5, 1001), 0, np.r_[np.repeat(velocity[:-1], 200), 5.])
Skipper
[1] https://github.com/matplotlib/matplotlib/issues/1709
Hi Skipper,
I think you are missing one bin in your plot… but anyway, this is how I’d do the same plot (filled step plot):
import matplotlib.pyplot as plt
import numpy as np
t_sec = np.arange(6)
velocity = np.array([24., 33., 40., 45., 48., 49.])
width = t_sec[1] - t_sec[0]
plt.bar(t_sec, velocity, width=width, facecolor=‘b’, edgecolor=‘’)
xx = np.ravel(zip(t_sec, t_sec + width))
yy = np.ravel(zip(velocity, velocity))
plt.plot(xx, yy, ‘k’)
plt.show()
I think this is a bit simpler
Cheers,
Eduardo Banados
···
On Sun, Jan 27, 2013 at 12:35 AM, Skipper Seabold <jsseabold@…120…287…> wrote:
This has been asked before, and I just filed a ticket [1]. Can anyone think of a better way to do something like this? The fill_between below is pretty suboptimal IMO.
import matplotlib.pyplot as plt
import numpy as np
t_sec = np.arange(6)
velocity = np.array([24., 33., 40., 45., 48., 49.])
fig, ax = plt.subplots(figsize=(10,6))
lines = ax.plot(t_sec, velocity, ‘mo’)
ax.margins(.01)
ax.grid(False)
ax.set_ylim(0, 53);
steps = ax.step(t_sec, velocity, where=‘post’, color=‘black’)
filed = ax.fill_between(np.linspace(0, 5, 1001), 0, np.r_[np.repeat(velocity[:-1], 200), 5.])
Skipper
[1] https://github.com/matplotlib/matplotlib/issues/1709
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