<jupyter_start><jupyter_text>--------  Histogram<jupyter_code>df1["A"].hist(bins = 30);
df1["A"].plot(kind="hist", bins = 30);
df1["A"].plot.hist(bins = 30);<jupyter_output><empty_output><jupyter_text>------<jupyter_code>df2.head()<jupyter_output><empty_output><jupyter_text>Area Plot<jupyter_code>df2.plot.area(alpha = 0.4);<jupyter_output><empty_output><jupyter_text>--------  Barplot & Stackplot<jupyter_code>df2.plot.bar();
df2.plot.bar(stacked = True);<jupyter_output><empty_output><jupyter_text>------  Lineplot<jupyter_code>df1.head()
df1.info()
df1["date"] = df1.index
df1.head()
df1.dtypes
df1.plot.line(x = "date", y = "B", figsize = (10, 3), lw = 1);<jupyter_output><empty_output><jupyter_text>------  Scatter Plot<jupyter_code>df1.plot.scatter(x = "A", y = "B", c= "C", cmap = "coolwarm");
df1.plot.scatter(x = "A", y = "B", s=df1["C"] *10);<jupyter_output><empty_output><jupyter_text>---------  Boxplot<jupyter_code>df2.plot.box();<jupyter_output><empty_output><jupyter_text>------  Hexbin<jupyter_code>df = pd.DataFrame(np.random.randn(1000, 2), columns = ["a", "b"])
df.head()
df.plot.hexbin(x = "a", y = "b", gridsize = 25, cmap = "coolwarm");<jupyter_output><empty_output><jupyter_text>-----  Kernel Density Estimation<jupyter_code>df2["a"].plot.kde();
df2["a"].plot.density();
df2.plot.kde();<jupyter_output><empty_output>
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