3.1.6.1.1.2. 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).

http://pandas.pydata.org/pandas-docs/stable/visualization.html を見ましょう。

  • ../../../_images/plot_pandas_1.png
  • ../../../_images/plot_pandas_2.png
  • ../../../_images/plot_pandas_3.png

Python ソースコード: plot_pandas.py

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.tools 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()

Total running time of the example: 1.99 seconds ( 0 minutes 1.99 seconds)