pandas pivot table to dataframe code example

Example 1: pd.pivot_table

>>> table = pd.pivot_table(df, values=['D', 'E'], index=['A', 'C'],
...                     aggfunc={'D': np.mean,
...                              'E': [min, max, np.mean]})
>>> table
                D    E
            mean  max      mean  min
A   C
bar large  5.500000  9.0  7.500000  6.0
    small  5.500000  9.0  8.500000  8.0
foo large  2.000000  5.0  4.500000  4.0
    small  2.333333  6.0  4.333333  2.0

Example 2: pivot table pandas

df.pivot_table(['int_age'],index = [df.iloc[:,meet_friends], df.iloc[:,friendsgiving]])

Example 3: pivot table pandas

# Tips is the Dataframe:
# Suppose we want to compute a table of group means, we can
# use the Pivot_Table Method:

# The Pivot Table automatically computes the mean

tips.pivot_table(index=['day', 'smoker'])

# The index represents the column names that you want to form groups

Example 4: pivot table pandas

df.pivot_table(index = [df.iloc[:,meet_friends], df.iloc[:,friendsgiving]])