Started on plotly graphs

dwarves/digger.py

@@ -29,7 +29,6 @@ def slam_dunk(dataset, column, labels):
     max_value = dataset[column].max()
     print("min: ", min_value, " max: ", max_value)
     bins = np.linspace(min_value, max_value, len(labels) + 1)
-    bins
 
     dunked_column = "bin_" + column
     dataset[dunked_column] = pd.cut(

dwarves/engineer.py

@@ -2,6 +2,7 @@
 import matplotlib.pyplot as plt
 import seaborn as sns
 import pandas as pd
+import plotly.express as exp
 import mining_hq
 from numpy import count_nonzero
 
@@ -17,7 +18,8 @@ custom_params = {"axes.spines.right": False, "axes.spines.top": False}
 sns.set_theme(style = 'ticks', rc = custom_params)
 
 plt.xticks(rotation = 90)
-games_fig_pre = sns.histplot(data = games_pre, x = "Year", palette = sns.color_palette("flare"), kde = True)
+games_fig_pre = sns.histplot(data = games_pre, x = "Year", kde = True)
+games_fig_pre.set_title('Game Sales Pre-2000')
 plt.show()
 
 plt.xticks(rotation = 90)
@@ -60,3 +62,7 @@ plt.xticks(rotation = 90)
 games_crime_dur = sns.jointplot(data = games_dur, x = "Year", y = 'Violent_US')
 plt.close(1)
 plt.show()
+
+# Need to floor the years, shows trailing bars on the histogram :/
+test_fig = exp.histogram(games_dur, x = "Year")
+test_fig.show()