How to convert a pandas GroupBy to a DataFrame

# Create a new DataFrameGroupBy object that groups the data by registration year

group_by_years = df.groupby(df["month"].dt.year)

# Let's count how many rows are there in each year

group_by_years_count = group_by_years.count()

# We have too many columns to display, let's reduce the number of columns to just one

group_by_years_count = group_by_years_count[["month"]]

# rename the column so it looks more proper on the barplot later

group_by_years_count.rename(columns={'month':'count'},inplace=True)

group_by_years_count.reset_index(inplace=True)

df_new = group_by_years_count.apply(list).apply(pd.Series)

df_new.columns = ['month', 'count']