<jupyter_start><jupyter_text>Type of Powerful Pokemons* Dragon & Electric, Dragon & Fire, Dragon & Ice* Ground & Fire* Fire & Steel<jupyter_code># heat map of Total power
heatMap_df = pokemon_df.groupby(by = ["Type 1", "Type 2"], as_index = False).mean()
totalHeatMap = heatMap_df.pivot(values='Total', index='Type 1', columns='Type 2')
ax = sns.heatmap(totalHeatMap, linewidths = .5)
plt.rcParams['figure.figsize'] = (20, 10)<jupyter_output><empty_output><jupyter_text>Type of Legendary Pokemons* Dragon & Fire , Dragon & Ice, Dragon & Electric* Fire & Steel, Fire & Water<jupyter_code>legendaryHeatMap = heatMap_df.pivot(values='Legendary', index='Type 1', columns='Type 2')
ax = sns.heatmap(legendaryHeatMap, linewidths = .5)
plt.rcParams['figure.figsize'] = (20, 10)<jupyter_output><empty_output>
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