绘制每个 x 值的 y 值的平均值

Question

I have a df which is unsorted and has around 750,000 rows. Now I want to group the df by mrwSmpVWi and get the average of my mrwSmpP . For example: I have 2,000 mrwSmpP values for mrwSmpVWi = 3 I want to get the average of the 2,000 values. If I have one y value for every x value I want to plot it by another group which is the column Seriennummer .

for number in df.groupby('mrwSmpVWi'):
    df['m'] = df['mrwSmpP'].mean()

fig, ax = plt.subplots(figsize=(30,15))

for name, group in df.groupby('Seriennummer'):
    group.plot(x="mrwSmpVWi", y="m", ax=ax, marker='o', linestyle='', ms=12, label =name)
    

plt.show()

If I do it like this. I will just get a straight line for my average values.

This is a part of my df:

EDIT:

I changed it this way:

#for number in df.groupby('mrwSmpVWi'):
df['m'] = df.groupby('mrwSmpVWi')['mrwSmpP'].mean()

It doesn't make a change if I do it with or without the for loop. I will get this diagram:

Answer 1

It seems you are overwritting the mean column on each iteration of the first loop. Also, to save a mean on each value of the dataframe, you need to use a merge. Try:

df = df.merge(df.groupby('mrwSmpVWi')["mrwSmpP"].mean().rename("m").reset_index(), on="mrwSmpVWi", how="left")