Graph
Several modules that will work with Python offer a variety of functions. Among them, I drew and compared graphs using the matplotlib library that helps me draw graphs efficiently and Pandas' own plot function. # default bar graph df['column'].value_counts().plot(kind='bar') # sub graph plt.subplot(100) df['column1'].plot(kind='hist') plt.subplot(150) plt.hist(df['column2']) plt.show() # seaborn histogram graph sns.histplot(data=df, x='column') # seaborn histogram graph with hue color sns.histplot(data=df, x='column', hue='column color') # seaborn histogram with round end sns.kdeplot(data=df, x='column', hue='column color')
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