Exploring with box plots
Two common formats of DataFrames are the wide format and long format. The wide format shows different variables represented in different columns, while the long format displays different variables represented by two columns together (one for the variable name and the other for the corresponding values).
Long versions of DataFrames can be useful for easily creating different visualizations, including the boxplot that you will create in this exercise after converting df_diffs (loaded for you) from wide to long format.
pandas has been loaded for you as pd, matplotlib.pyplot as plt, and Seaborn as sns.
Diese Übung ist Teil des Kurses
Monte Carlo Simulations in Python
Anleitung zur Übung
- Convert the
bmiandhdlcolumns (specified in that order) of thedf_diffsDataFrame from wide to long format; save the long DataFrame ashdl_bmi_longand name the column that will contain the variable valuesy_diff. - Use a boxplot to visualize the results of patients in the first or last quartile of the
hdlandbmivariables.
Interaktive Übung
Versuche dich an dieser Übung, indem du diesen Beispielcode vervollständigst.
# Convert the hdl and bmi columns of df_diffs from wide to long format, naming the values column "y_diff"
hdl_bmi_long = df_diffs.____(value_name=____, value_vars=____)
print(hdl_bmi_long.head())
# Use a boxplot to visualize the results
____
plt.show()