Focused on Exploratory Data Analysis (EDA) of stock prices.
Import pickle file dataset by pandas
Setting all banks data together with concatenation and Continue with data exploration making a DataFrame.
Making a column in dataframe that will contain the returns for each bank's stock using pct_change().
Figure out on what dates each bank stock had the best and worst single day returns.
xs() function is used to get cross-section from the Series/DataFrame and visualising it as well.
Used diffrent graph visualisation as per required for EDA
Like:- Pairplot, Distplot, iplot, Heatmap, Clustermap, Plotly and cufflinks.