columns visualization with MATPLOTLIB in Python

titanic.plot(subplots = True, figsize = (15,12), sharex = False, sharey = False)
plt.show()

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xticks = [x for x in range(0,901, 50)]
xticks

yticks = [y for y in range(0, 81, 5)]
yticks

plt.style.available

plt.style.use("seaborn-v0_8")

titanic.age.plot(figsize = (12,8), fontsize= 13, c = "r", linestyle = "-",
                 xlim = (0,900), ylim = (0,80), xticks = xticks, yticks = yticks, rot = 45)
plt.title("Titanic - Ages", fontsize = 15)
plt.legend(loc = 3, fontsize = 15)
plt.xlabel("Passenger No", fontsize = 13)
plt.ylabel("Age", fontsize = 13)
plt.grid()
plt.show()

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# Histogram
titanic.age.plot(kind = "hist", figsize = (12,8), fontsize = 15, bins = 80, density = True)
plt.show()

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# Bar chart
summer_2012.Medal.plot(kind = "bar", figsize = (12,8), fontsize = 12)
plt.show() # all countries with their medals

summer_2012.Medal.plot(kind = "barh", figsize = (12,8), fontsize = 12)
plt.show()

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# Pie chart
summer_2012.Medal.plot(kind = "pie", figsize = (12,8), fontsize = 12)
plt.show()

######################################################
# Scatter plot
cars.plot(kind = 'scatter', x = 'horsepower', y = 'mpg', figsize = (12,8), s = 30, c = 'cylinders', marker = 'x', colormap = "viridis")
plt.title('Scatterplot with horsepower and mpg', fontsize = 18)
plt.xlabel("horsepower", fontsize = 15)
plt.ylabel("mpg", fontsize = 15)
plt.show()