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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