3.1.6.2. Plotting simple quantities of a pandas dataframe

This example loads from a CSV file data with mixed numerical and categorical entries, and plots a few quantities, separately for females and males, thanks to the pandas integrated plotting tool (that uses matplotlib behind the scene).

See http://pandas.pydata.org/pandas-docs/stable/visualization.html

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import pandas

data = pandas.read_csv("brain_size.csv", sep=";", na_values=".")

# Box plots of different columns for each gender
groupby_gender = data.groupby("Gender")
groupby_gender.boxplot(column=["FSIQ", "VIQ", "PIQ"])

from pandas import plotting

# Scatter matrices for different columns
plotting.scatter_matrix(data[["Weight", "Height", "MRI_Count"]])
plotting.scatter_matrix(data[["PIQ", "VIQ", "FSIQ"]])

import matplotlib.pyplot as plt

plt.show()