This is the piece of code here. It deals with the data analysis of the avocado prices dataset avaialble on kaggle using pandas.
graph_df = pd.DataFrame
for r in regions:
r_df = df.copy()[df['region']==r]
r_df.set_index("Date", inplace=True)
r_df.sort_index(inplace=True)
r_df[f"{r}_25MA"] = r_df['AveragePrice'].rolling(25).mean()
if graph_df.empty:
graph_df = r_df[[f"{r}_25MA"]]
else:
graph_df = graph_df.join(r_df[f"{r}_25MA"])
graph_df.tail()
what i want to know is what does the letter 'f' before {r}_25MA do in this
r_df[f"{r}_25MA"] = r_df['AveragePrice'].rolling(25).mean()
if graph_df.empty:
graph_df = r_df[[f"{r}_25MA"]]
else:
graph_df = graph_df.join(r_df[f"{r}_25MA"])
if anybody knows please do help and sorry for asking a noob question.