Pandas set labeling legend from groupby elements - pandas

Question

I'm plotting a kde distribution of 2 dataframes on the same axis, and I need to set a legend saying which line is which dataframe. Now, this is my code:
fig, ax = plt.subplots(figsize=(15,10))
for label, df in dataframe1.groupby('ID'):
dataframe1.Value.plot(kind="kde", ax=ax,color='r')
for label, df in dataframe2.groupby('ID'):
dataframe2.Value.plot(kind='kde', ax=ax, color='b')
plt.legend()
plt.title('title here', fontsize=20)
plt.axvline(x=np.pi,color='gray',linestyle='--')
plt.xlabel('mmHg', fontsize=16)
plt.show()
But the result is this:
How can I show the legends inside the graph as 'values from df1' and 'results from df2'?
Edit:
with the following code I correctly have the question's result. But in some dataframes I get the following results:
fig, ax = plt.subplots(figsize=(15,10))
sns.kdeplot(akiPEEP['Value'], color="r", label='type 1', ax=ax)
sns.kdeplot(noAkiPEEP['Value'], color="b",label='type 2', ax=ax)
plt.legend()
plt.title('d', fontsize=20)
plt.axvline(x=np.pi,color='gray',linestyle='--')
plt.xlabel('value', fontsize=16)
plt.show()
A distribution I'm plotting now:
How do I fix this? Also, is it good to also plot the rolling means over this distribution or it becomes too heavy?

Answer 1

I'm not sure I understand your question, but from your code, it looks like you are trying to plot one KDE per ID value in your dataframes. In which case you would have to do:
for label, df in dataframe1.groupby('ID'):
df.Value.plot(kind="kde", ax=ax,color='r', label=label)
notice that I replaced dataframe1 by df in the body of the for-loop. df correspond to the sub-dataframe where all the elements in the column ID have value label