Issue
I have pandas Dataframe that looks like this:
I want to scatter plot the average of each 'Score' for how each 'Publish Date' Value, which is [1...10]
I tried to use groupby, mean, etc. But for some reason, this is not working properly.
df.groupby(ds['Publish Date'].dt)["Score"].mean().plot(kind="line",rot=25)
I wish to have a scatter plot, with X as [1...10] and Y as the Score average. I need to take every unique value from ds['Publish Date'], which is values between 1 to 10, and for each one of the, to get the average score. For example - for 10: 2.4, for 9: 4.7 and to have those stats in a scatter plot. Thank you!
Need some help, Thank you!
Solution
You could use seaborn to plot it, it's very intuitive.
import pandas as pd
import seaborn as sns
import random
df = pd.DataFrame()
df["Publish_date"] = [random.randrange(0,11) for _ in range(20)]
df["Score"] = [random.randrange(0,60)/10 for _ in range(20)]
df_grouped_by_year = df.groupby(df['Publish_date']).mean()
sns.scatterplot(data = df_grouped_by_year)
Answered By - Anytokin
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