Aggregate records by year and compute bar chart-CodePudding

I would like to aggregate records by year in a dataframe and create (and save) a barchart for each of them.

Using my rudimentary python I create a dictionary grouping by year

dd = [x for _, x in df.groupby('year')]

The result is a dictionary ranging 0 to 55, which I can use to manually create a barchart. Of course I tried to create a basic loop to compute (and save) a barchart for each year

i = 0
for i in dd:
    i =  1
    title = dd[i]["year"].unique()[0]
    plot = dd[i]['Journal Type'].value_counts().plot(kind='bar', title=title);
    fig = plot.get_figure()
    fig.savefig(str(title)   '.png')

However, it save the first figure and that's it. What I am doing wrong? Any (more elegant) solution to the problem would be greatly appreciated

CodePudding user response：

I guess you need to create a new figure every time, also, why don't you just loop through the groupby:

for title, data in df.groupby('year'):
    fig, ax = plt.subplots()
    data['Journal Type'].value_counts().plot(kind='bar', title=title, ax=ax)
    fig.savefig(f'{title}.png')
    plt.close(fig)