Creating a figure with plots, sliders and other widgets arranged with a gridspec layout

Creating a figure with plots, sliders and other widgets arranged with a gridspec layout

By : user2185616
Date : November 22 2020, 04:01 AM
Hope this helps Some issues:
plot doesn't have any xlim argument. There is one grid too much in the code Widgets need to live inside axes The first index of a grid is the rows, not the columns.
code :
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.gridspec as gridspec
from matplotlib.widgets import Slider

# Half width of the graph x-axis
x_axis = 4*np.pi
# x_axis offset
x_offset = 0
# Half height of the graph y-axis
y_axis = 8
# y_axis offset
y_offset = -1

fig = plt.figure()

mainGrid = gridspec.GridSpec(2, 1)
ax = plt.subplot(mainGrid[0, :])
ax.set(xlim=(-x_axis-x_offset, x_axis-x_offset), ylim=(-y_axis-y_offset, y_axis-y_offset))
controlCell = mainGrid[1, :]

sliderCount = 7
sliderGrid = gridspec.GridSpecFromSubplotSpec(sliderCount, 1, controlCell)
sliders = []
for i in range(0, sliderCount):
    sliderax = plt.subplot(sliderGrid[i, 0])
    slider = Slider(sliderax, "Test {}".format(i), 0.1, 8.0, valinit=2, valstep=0.01)

x_data = np.linspace(-x_axis-x_offset, x_axis-x_offset, 512)
y_data = [x for x in x_data]

line = ax.plot([], [])[0]
line.set_data(x_data, y_data)


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How to replace previous plots in a matplotlib figure with new plots or grid of plots?

How to replace previous plots in a matplotlib figure with new plots or grid of plots?

By : ipans
Date : March 29 2020, 07:55 AM
it fixes the issue This doesn't looks like a very standard way of doing tkinter. At least it's not very clear to me what you're trying to achieve. You have the following line in your dosomething:
code :
test1=Test1(windows, data, axes)
def dosomething():
    fig = Figure(figsize=(12, 4))
    axes = fig.add_subplot(111)
    self.canvas = FigureCanvasTkAgg(fig, master=windows)
    data=np.arange(100)  # not sure what this is for

def dosomethingelse():
    fig = Figure(figsize=(12, 4))
    self.canvas = FigureCanvasTkAgg(fig, master=windows)
Creating normalized gaussian graphs arranged in triangular subplots using gridspec

Creating normalized gaussian graphs arranged in triangular subplots using gridspec

By : Maxi Sc
Date : March 29 2020, 07:55 AM
hop of those help? Right now you have a confusing way of setting up the plots of the Gaussians. Calling plt.plot draws the plot on the currently active axes, which is why they all show up on the same graph. You should try changing your code for plotting the diagonal elements to something like the following:
code :
for i, (mu, sig_gauss) in enumerate(sig_mean):
        ax = plt.subplot(gs1[i,i])
        ax.plot(gaussian(np.linspace(-3, 3, 120), mu, sig_gauss))
Thumbnail plots with matplotlib GridSpec

Thumbnail plots with matplotlib GridSpec

By : Allen Lyu
Date : March 29 2020, 07:55 AM
it should still fix some issue From the function definition add_inset_to_axis(figure, axis, rect) it seems that the second argument is actually meant to be a matplotlib.axes instance.
So instead of giving grid_cell as an argument, one should probably use axis
code :
inset = add_inset_to_axis(fig, axis, (0.675, 0.82, 0.3, 0.15))
Matplotlib Gridspec - Plots and images on A4 Page

Matplotlib Gridspec - Plots and images on A4 Page

By : Eli Robbins
Date : March 29 2020, 07:55 AM
will help you So I changed the layout a little, but the solution was to set the figsize to that of A4 paper and adjusting the height ratios of gs. Also fig.set_size_inches takes width as first argument, then height.
code :
import matplotlib as mpl
import matplotlib.pyplot as plt
import numpy as np


img = np.random.standard_normal((20,20))
data = np.random.standard_normal((10000,2))
theta = [1,2]
description = 'Size: %s, #Samples: %s, Computation Time: %ss'%(25, 13, int(12.5))

title_fontsize = 'x-small'
fig = plt.figure(dpi=300, tight_layout=True)
fig.set_size_inches(8.27, 11.69, forward=True)

plt.figtext(0.02, .99, description, fontsize = 'small')

ax = np.zeros(9, dtype=object)
gs = fig.add_gridspec(5, 3, height_ratios=[3,2,3,2,2])
ax[0] = fig.add_subplot(gs[0, 0])
ax[1] = fig.add_subplot(gs[0, 1])
ax[2] = fig.add_subplot(gs[0, 2])
ax[3] = fig.add_subplot(gs[1, :])
ax[4] = fig.add_subplot(gs[2, 0])
ax[5] = fig.add_subplot(gs[2, 1])
ax[6] = fig.add_subplot(gs[2, 2])
ax[7] = fig.add_subplot(gs[3, :])
ax[8] = fig.add_subplot(gs[4, :])

ax[0].set_title('Slice through Covariance Operator', fontsize = title_fontsize)

ax[1].set_title('Last Sample', fontsize = title_fontsize)

ax[2].set_title('Truth', fontsize = title_fontsize)

for i, d in enumerate(data.T):
    ax[3].plot(d, label = '%s°'%int(theta[i]))

ax[3].legend(loc='upper right')
ax[3].set_title('Measurement (Sinogram)', fontsize = title_fontsize)

ax[4].set_title('MCMC Reconstruction (Sample Mean)', fontsize = title_fontsize)

ax[5].set_title('MCMC Sample Variance', fontsize = title_fontsize)

ax[6].set_title('FBP Reconstruction', fontsize = title_fontsize)

ax[7].set_title('Heightscale', fontsize = title_fontsize)

ax[8].plot([b[0] for b in data], label='Layer 1')
ax[8].plot([b[1] for b in data], label='Layer 0')
ax[8].legend(loc='upper right')
ax[8].set_title('Jump Size', fontsize = title_fontsize)
for x in ax.flat:
    for tick in x.xaxis.get_major_ticks():
    for tick in x.yaxis.get_major_ticks():

"'module' object has no attribute 'Gridspec'" despite calling help(gridspec) revealing the Gridspec class

"'module' object has no attribute 'Gridspec'" despite calling help(gridspec) revealing the Gridspec class

By : Bigmo
Date : March 29 2020, 07:55 AM
I wish this help you You meant to type g = gs.GridSpec(1,1). The "s" in "Spec" is capitalized.
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