pandas Graphs and Visualizations Basic Data Graphs
Example
Pandas uses provides multiple ways to make graphs of the data inside the data frame. It uses matplotlib for that purpose.
The basic graphs have their wrappers for both DataFrame and Series objects:
Line Plot
df = pd.DataFrame({'x': [10, 8, 10, 7, 7, 10, 9, 9],
'y': [6, 4, 5, 5, 7, 10, 9, 9]})
df.plot()
You can call the same method for a Series object to plot a subset of the Data Frame:
df['x'].plot()
Bar Chart
If you want to explore the distribution of your data, you can use the hist() method.
df['x'].hist()
General method for plotting plot()
All the possible graphs are available through the plot method. The kind of chart is selected by the kind argument.
df['x'].plot(kind='pie')
Note In many environments, the pie chart will come out an oval. To make it a circle, use the following:
from matplotlib import pyplot
pyplot.axis('equal')
df['x'].plot(kind='pie')
