I am using jupyter notebook
for simple plotting tasks as the following.
%matplotlib inline
plt.rcParams["figure.figsize"] = (12, 8)
plt.style.use("bmh")
I am getting a plot of the following form. How can remove the background silver color (we can keep the grid but I can also turn them off using plt. grid(False)
) to white and change the border color of the plot to black?
The "bmh"
style sets the axes facecolor and edgecolor like
axes.facecolor: eeeeee
axes.edgecolor: bcbcbc
You can set them back after setting the style,
import matplotlib.pyplot as plt
plt.style.use("bmh")
plt.rcParams.update({"figure.figsize" : (12, 8),
"axes.facecolor" : "white",
"axes.edgecolor": "black"})
I would recommend the following way. The following answer is based on this and this posts
%matplotlib inline
plt.rcParams["figure.figsize"] = (8, 6)
plt.style.use("bmh")
plt.hist(np.random.normal(0,1, 10000), bins=100)
plt.gca().set_facecolor("white")
plt.setp(ax.spines.values(), color='k') # Change the frame border to black ('k')
An alternative way using ax
object could be
%matplotlib inline
plt.rcParams["figure.figsize"] = (8, 6)
plt.style.use("bmh")
fig, ax = plt.subplots()
ax.hist(np.random.normal(0,1, 10000), bins=100);
ax.set_facecolor("white")
plt.setp(ax.spines.values(), color='k')
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