我总共有35个主题,并且我尝试使用for循环为每个主题制作一个单独的图形,但是我的代码为我提供了一个包含所有主题的密集图形。
all_subnames = final['sub'].unique() # this shows all the subjects 1-35
[for i in all_subnames:
print(i)
subs = final\[final\['sub'\]== i\]
sns.lineplot(x = subs.index.values,y = subs\['RT'\])][1]
答案 0 :(得分:0)
您要为for循环中的每次迭代创建一个新的图形和轴。 这是一种方法。
import seaborn as sns
## made up date with 10 rows, 5 columns
y = np.random.randint(low=1,high=10,size=(10,5))
# iterate over the data
for item in range(y.shape[1]):
# create a new figure and axis object
fig, ax = plt.subplots()
# give this axis to seaborn so that it can plot in each iteration
sns.lineplot(np.arange(y.shape[0]) ,y[:,item], ax = ax)
答案 1 :(得分:0)
确保为每个图打开一个新图形:
import matplotlib
import matplotlib.pyplot as plt
import seaborn
all_subnames = final['sub'].unique() # this shows all the subjects 1-35
for i in all_subnames:
print(i)
subs = final\[final\['sub'\]== i\]
# Creates a new figure for the plot of the subject
plt.figure()
sns.lineplot(x = subs.index.values,y = subs\['RT'\])][1]