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')
