ValueError when using different array
I am trying to convert a legacy code that was passed down to me, by turning the repetitious part into a function. Below is what I have tried so far:
from mpl_toolkits.axes_grid1 import make_axes_locatable
import matplotlib.pyplot as plt
import numpy as np
import matplotlib.colors as colors
def graphs(arr, sub, fig):
image=sub.imshow(arr,origin='low',cmap=cm,norm=colors.SymLogNorm(linthresh=10),vmin=np.min(arr[np.where(arr>0)]),vmax=np.max(arr),extent=[-1,1,-1,1])
sub.axis([-10,10,-10,10])
divider = make_axes_locatable(sub)
fig.colorbar(image, cax=divider.append_axes("right", size="5%", pad=0.05))
cm=plt.cm.jet
cm.set_under('white')
A1, A2, A3, A4=(np.random.rand(204,204),np.random.rand(204,204),np.random.rand(204,204),np.random.rand(204,204))
fig1, (a1,a2,a3,a4) = plt.subplots(ncols=4,figsize=(15,15))
im1=graphs(A1,a1,fig1)
im2=graphs(A2,a2,fig1)
im3=graphs(A3,a3,fig1)
im4=graphs(A4,a4,fig1)
This does work. But if I change im1=graphs(A1,a1,fig1) to im1=graphs(np.load('T.npy'),a1,fig1), where T.npy is a file that contains an array of size (204,204), then I get the following error:
ValueError: cannot convert float NaN to integer
I can't find what the solution is. I checked with np.isnan and got no hits. Any help is greatly appreciated.
P.S.: As far as I can tell, this error should be replicable with what I've provided. However, if something is missing, please inform me, so I can edit the post.
python function matplotlib graph valueerror
asked Nov 24 '18 at 14:48
GeorgeGeorge
73112
add a comment |
I am trying to convert a legacy code that was passed down to me, by turning the repetitious part into a function. Below is what I have tried so far:
from mpl_toolkits.axes_grid1 import make_axes_locatable
import matplotlib.pyplot as plt
import numpy as np
import matplotlib.colors as colors
def graphs(arr, sub, fig):
image=sub.imshow(arr,origin='low',cmap=cm,norm=colors.SymLogNorm(linthresh=10),vmin=np.min(arr[np.where(arr>0)]),vmax=np.max(arr),extent=[-1,1,-1,1])
sub.axis([-10,10,-10,10])
divider = make_axes_locatable(sub)
fig.colorbar(image, cax=divider.append_axes("right", size="5%", pad=0.05))
cm=plt.cm.jet
cm.set_under('white')
A1, A2, A3, A4=(np.random.rand(204,204),np.random.rand(204,204),np.random.rand(204,204),np.random.rand(204,204))
fig1, (a1,a2,a3,a4) = plt.subplots(ncols=4,figsize=(15,15))
im1=graphs(A1,a1,fig1)
im2=graphs(A2,a2,fig1)
im3=graphs(A3,a3,fig1)
im4=graphs(A4,a4,fig1)
This does work. But if I change im1=graphs(A1,a1,fig1) to im1=graphs(np.load('T.npy'),a1,fig1), where T.npy is a file that contains an array of size (204,204), then I get the following error:
ValueError: cannot convert float NaN to integer
I can't find what the solution is. I checked with np.isnan and got no hits. Any help is greatly appreciated.
P.S.: As far as I can tell, this error should be replicable with what I've provided. However, if something is missing, please inform me, so I can edit the post.
python function matplotlib graph valueerror
asked Nov 24 '18 at 14:48
GeorgeGeorge
73112
add a comment |
I am trying to convert a legacy code that was passed down to me, by turning the repetitious part into a function. Below is what I have tried so far:
from mpl_toolkits.axes_grid1 import make_axes_locatable
import matplotlib.pyplot as plt
import numpy as np
import matplotlib.colors as colors
def graphs(arr, sub, fig):
image=sub.imshow(arr,origin='low',cmap=cm,norm=colors.SymLogNorm(linthresh=10),vmin=np.min(arr[np.where(arr>0)]),vmax=np.max(arr),extent=[-1,1,-1,1])
sub.axis([-10,10,-10,10])
divider = make_axes_locatable(sub)
fig.colorbar(image, cax=divider.append_axes("right", size="5%", pad=0.05))
cm=plt.cm.jet
cm.set_under('white')
A1, A2, A3, A4=(np.random.rand(204,204),np.random.rand(204,204),np.random.rand(204,204),np.random.rand(204,204))
fig1, (a1,a2,a3,a4) = plt.subplots(ncols=4,figsize=(15,15))
im1=graphs(A1,a1,fig1)
im2=graphs(A2,a2,fig1)
im3=graphs(A3,a3,fig1)
im4=graphs(A4,a4,fig1)
This does work. But if I change im1=graphs(A1,a1,fig1) to im1=graphs(np.load('T.npy'),a1,fig1), where T.npy is a file that contains an array of size (204,204), then I get the following error:
ValueError: cannot convert float NaN to integer
I can't find what the solution is. I checked with np.isnan and got no hits. Any help is greatly appreciated.
P.S.: As far as I can tell, this error should be replicable with what I've provided. However, if something is missing, please inform me, so I can edit the post.
python function matplotlib graph valueerror
asked Nov 24 '18 at 14:48
GeorgeGeorge
73112
I am trying to convert a legacy code that was passed down to me, by turning the repetitious part into a function. Below is what I have tried so far:
from mpl_toolkits.axes_grid1 import make_axes_locatable
import matplotlib.pyplot as plt
import numpy as np
import matplotlib.colors as colors
def graphs(arr, sub, fig):
image=sub.imshow(arr,origin='low',cmap=cm,norm=colors.SymLogNorm(linthresh=10),vmin=np.min(arr[np.where(arr>0)]),vmax=np.max(arr),extent=[-1,1,-1,1])
sub.axis([-10,10,-10,10])
divider = make_axes_locatable(sub)
fig.colorbar(image, cax=divider.append_axes("right", size="5%", pad=0.05))
cm=plt.cm.jet
cm.set_under('white')
A1, A2, A3, A4=(np.random.rand(204,204),np.random.rand(204,204),np.random.rand(204,204),np.random.rand(204,204))
fig1, (a1,a2,a3,a4) = plt.subplots(ncols=4,figsize=(15,15))
im1=graphs(A1,a1,fig1)
im2=graphs(A2,a2,fig1)
im3=graphs(A3,a3,fig1)
im4=graphs(A4,a4,fig1)
This does work. But if I change im1=graphs(A1,a1,fig1) to im1=graphs(np.load('T.npy'),a1,fig1), where T.npy is a file that contains an array of size (204,204), then I get the following error:
ValueError: cannot convert float NaN to integer
I can't find what the solution is. I checked with np.isnan and got no hits. Any help is greatly appreciated.
P.S.: As far as I can tell, this error should be replicable with what I've provided. However, if something is missing, please inform me, so I can edit the post.
python function matplotlib graph valueerror
python function matplotlib graph valueerror
asked Nov 24 '18 at 14:48
GeorgeGeorge
73112
asked Nov 24 '18 at 14:48
GeorgeGeorge
73112
asked Nov 24 '18 at 14:48
GeorgeGeorge
73112
asked Nov 24 '18 at 14:48
GeorgeGeorge
73112
asked Nov 24 '18 at 14:48
GeorgeGeorge
73112
73112
add a comment |
add a comment |
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