Related
Joan Carl Montero Jimenez With the following code, I get the following contour plot: fig, ax = plt.subplots()
x = np.arange(431)
y = np.arange(225)
Y, X = np.meshgrid(y, x)
values = df["Appearance_percentage"].values
values2d = np.reshape(values, (431, 225))
a
Joan Carl Montero Jimenez With the following code, I get the following contour plot: fig, ax = plt.subplots()
x = np.arange(431)
y = np.arange(225)
Y, X = np.meshgrid(y, x)
values = df["Appearance_percentage"].values
values2d = np.reshape(values, (431, 225))
a
Joan Carl Montero Jimenez With the following code, I get the following contour plot: fig, ax = plt.subplots()
x = np.arange(431)
y = np.arange(225)
Y, X = np.meshgrid(y, x)
values = df["Appearance_percentage"].values
values2d = np.reshape(values, (431, 225))
a
Joan Carl Montero Jimenez With the following code, I get the following contour plot: fig, ax = plt.subplots()
x = np.arange(431)
y = np.arange(225)
Y, X = np.meshgrid(y, x)
values = df["Appearance_percentage"].values
values2d = np.reshape(values, (431, 225))
a
Joan Carl Montero Jimenez With the following code, I get the following contour plot: fig, ax = plt.subplots()
x = np.arange(431)
y = np.arange(225)
Y, X = np.meshgrid(y, x)
values = df["Appearance_percentage"].values
values2d = np.reshape(values, (431, 225))
a
pier I'm trying to create a contour plot using fill.contour and I want to change the size of the legend title and labels as well as the size of the legend itself. I already have code for the data which is very similar to the volcano example (easier to reproduc
pier I'm trying to create a contour plot using fill.contour and I want to change the size of the legend title and labels as well as the size of the legend itself. I already have code for the data which is very similar to the volcano example (easier to reproduc
Jie Dejuan I have a question about matplotlib and contourf. I am using the latest version of matplotlib with python3.7. Basically I have to matrix I want to plot on the same contour plot but with different colormaps. An important aspect is that, for example, i
Jie Dejuan I have a question about matplotlib and contourf. I am using the latest version of matplotlib with python3.7. Basically I have to matrix I want to plot on the same contour plot but with different colormaps. An important aspect is that, for example, i
Dave I am trying to create a filled contour plot from an image in MATLAB. However, the command imcontourdoesn't seem to have an option for filling the outline. If used contourf, it will draw all outlines black. Since the image has many outlines, it appears alm
Dave I am trying to create a filled contour plot from an image in MATLAB. However, the command imcontourdoesn't seem to have an option for filling the outline. If used contourf, it will draw all outlines black. Since the image has many outlines, it appears alm
Dave I am trying to create a filled contour plot from an image in MATLAB. However, the command imcontourdoesn't seem to have an option for filling the outline. If used contourf, it will draw all outlines black. Since the image has many outlines, it appears alm
angle I have a numpy array of the following shape: (33, 10). When I draw contours, I get ugly images like this: And contour()there doesn't seem to be any argument for smoothing or some kind of interpolation function. I somehow expected that tools that provide
Cam K I am getting "ValueError: Array element is set with sequence" at runtime. I've tried to turn everything into a numpy array, to no avail. import matplotlib
import numpy as np
from matplotlib import pyplot
X=np.array([
np.array([1,2,3,4,5,6,7]),
n
angle I have a numpy array of the following shape: (33, 10). When I draw contours, I get ugly images like this: And contour()there doesn't seem to be any argument for smoothing or some kind of interpolation function. I somehow expected that tools that provide
Cam K I am getting "ValueError: Array element is set with sequence" at runtime. I've tried to turn everything into a numpy array, to no avail. import matplotlib
import numpy as np
from matplotlib import pyplot
X=np.array([
np.array([1,2,3,4,5,6,7]),
n
physicist Suppose I want to draw the outline of z=0where z=(19*y^3-6*x*y-1). I can use the following code: x = np.linspace(-2,2,1000)
y = np.linspace(-1,1,1000)
X,Y = np.meshgrid(x,y)
z = (19)*Y**3-6*X*Y-1
plt.figure()
plt.contour(z,0)
plt.show()
Now I want t
bob I need to draw an ellipse as shown in the image below. The code is from a tutorial. But I need to draw an ellipse in the range X: [-10, -10] and Y: [-2, -2]. How should I modify my code? fig = plt.figure()
x = linspace(0, 10, 51)
y = linspace(0, 8, 41)
(X,
bob I need to draw an ellipse as shown in the image below. The code is from a tutorial. But I need to draw an ellipse in the range X: [-10, -10] and Y: [-2, -2]. How should I modify my code? fig = plt.figure()
x = linspace(0, 10, 51)
y = linspace(0, 8, 41)
(X,
Environmental friendly I'm trying to reproduce an Excel chart in matplotlib, but the matplotlib version appears to be truncated. The excel version draws the entire ellipse, while the matplolib version doesn't. The excel graph is only generated using the insert
angle I have a numpy array of the following shape: (33, 10). When I draw contours, I get ugly images like this: And contour()there doesn't seem to be any argument for smoothing or some kind of interpolation function. I somehow expected that tools that provide
Environmental friendly I'm trying to reproduce an Excel chart in matplotlib, but the matplotlib version appears to be truncated. The excel version draws the entire ellipse, while the matplolib version doesn't. The excel graph is only generated using the insert
bob I need to draw an ellipse as shown in the image below. The code is from a tutorial. But I need to draw an ellipse in the range X: [-10, -10] and Y: [-2, -2]. How should I modify my code? fig = plt.figure()
x = linspace(0, 10, 51)
y = linspace(0, 8, 41)
(X,
Mike: Does anyone know a way to bring a scatter plot to the foreground in matplotlib? I have to show a scatter plot above the contour lines, but by default it's drawn below... Thanks in advance! sodd ： You can manually choose the order in which the different p
Mike: Does anyone know a way to bring a scatter plot to the foreground in matplotlib? I have to show a scatter plot above the contour lines, but by default it's drawn below... Thanks in advance! sodd ： You can manually choose the order in which the different p
Mike: Does anyone know a way to bring a scatter plot to the foreground in matplotlib? I have to show a scatter plot above the contour lines, but by default it's drawn below... Thanks in advance! sodd ： You can manually choose the order in which the different p
Mike: Does anyone know a way to bring a scatter plot to the foreground in matplotlib? I have to show a scatter plot above the contour lines, but by default it's drawn below... Thanks in advance! sodd ： You can manually choose the order in which the different p
Mike: Does anyone know a way to bring a scatter plot to the foreground in matplotlib? I have to show a scatter plot above the contour lines, but by default it's drawn below... Thanks in advance! sodd ： You can manually choose the order in which the different p
Mike: Does anyone know a way to bring a scatter plot to the foreground in matplotlib? I have to show a scatter plot above the contour lines, but by default it's drawn below... Thanks in advance! sodd ： You can manually choose the order in which the different p
