![]() #!/usr/bin/env python from flask import Flask, render_template, flash, request, jsonify, Markup import matplotlib matplotlib. to_csv ( 'titanic3.csv', header = False, index = False ) ![]() dropna () # save dataframe without header or index titanic_ready_df. NaN, 'Unknown' ) # prepare training data titanic_ready_df = prepare_data_for_model ( titanic_df, target_columns = ) titanic_ready_df = titanic_ready_df. mean ( titanic_df ) * 100 titanic_df = titanic_df. where ( titanic_df = 2, 'Second', 'Third' )) # get average survival rate average_survival_rate = np. where ( titanic_df = 'female', 1, 0 ) # drop features not needed for model titanic_df = titanic_df ]] # make pclass actual categorical column titanic_df = np. replace ( 'U', 'Unknown' ) titanic_df = np. NaN, 'U' ) titanic_df = for ln in titanic_df. values ] # strip first letter from cabin number if there titanic_df = titanic_df. values ] titanic_df = else 'Unknown' for title in titanic_df. read_csv ( '' ) # get title titanic_df = for ln in titanic_df.
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