Plotting Data using Matplotlib
Pandas plot: line and bar charts
Use the plot method of a DataFrame to draw line and bar charts and customise them.
Pandas Series and DataFrames have their own plot() method, built on Matplotlib: s.plot() or df.plot().
The kind parameter chooses the chart: 'line' (the default), 'bar', 'barh' (horizontal bars), 'hist', 'box', 'area', 'pie' and 'scatter'.
Line plots show trends over time. By default, the DataFrame's index goes on the x axis. To show meaningful labels, like day names, use plt.xticks(ticks, df.Day).
Bar charts are best for comparing values. df.plot(kind='bar', x='Day') puts the Day column on the x axis; without x=, the index is used.
You can still use Pyplot functions like plt.title() and plt.xlabel() with a pandas plot. Parameters like color, edgecolor, linewidth, linestyle and marker customise it, and a legend appears by default. Line for trends, bar for comparison.
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