4.3. DataFrame Index

4.3.1. Index Types

4.3.2. Range Index

import pandas as pd

pd.DataFrame({
    'A': [10, 11, 12],
    'B': [20, 21, 22],
    'C': [30, 31, 32]})

#     A   B   C
# 0  10  20  30
# 1  11  21  31
# 2  12  22  32

df.index
# RangeIndex(start=0, stop=3, step=1)

4.3.3. Integer Index

import pandas as pd
import numpy as np

pd.DataFrame(
    data = np.arange(16).reshape(4,4),
    index = [99, 88, 77, 66],
    columns = ['A', 'B', 'C', 'D'])

#      A   B   C   D
# 99   0   1   2   3
# 88   4   5   6   7
# 77   8   9  10  11
# 66  12  13  14  15

df.index
# Int64Index([99, 88, 77, 66], dtype='int64')

4.3.4. String Index

import pandas as pd
import numpy as np

pd.DataFrame(
    data = np.arange(16).reshape(4,4),
    index = ['a', 'b', 'c', 'd'],
    columns = ['A', 'B', 'C', 'D'])

#     A   B   C   D
# a   0   1   2   3
# b   4   5   6   7
# c   8   9  10  11
# d  12  13  14  15

df.index
# Index(['a', 'b', 'c', 'd'], dtype='object')

4.3.5. Datetime Index

import pandas as pd
import numpy as np
np.random.seed(0)

df = pd.DataFrame(
    columns = ['Morning', 'Noon', 'Evening', 'Midnight'],
    index = pd.date_range('1999-12-30', periods=7),
    data = np.random.randn(7, 4))

df
#              Morning      Noon   Evening  Midnight
# 1999-12-30  1.764052  0.400157  0.978738  2.240893
# 1999-12-31  1.867558 -0.977278  0.950088 -0.151357
# 2000-01-01 -0.103219  0.410599  0.144044  1.454274
# 2000-01-02  0.761038  0.121675  0.443863  0.333674
# 2000-01-03  1.494079 -0.205158  0.313068 -0.854096
# 2000-01-04 -2.552990  0.653619  0.864436 -0.742165
# 2000-01-05  2.269755 -1.454366  0.045759 -0.187184

df.index
# DatetimeIndex(['1999-12-30', '1999-12-31', '2000-01-01', '2000-01-02',
#                '2000-01-03', '2000-01-04', '2000-01-05'],
#               dtype='datetime64[ns]', freq='D')

4.3.6. Set Index

import pandas as pd


df = pd.DataFrame([
    {'id': 1, 'firstname': 'Mark', 'lastname': 'Watney'},
    {'id': 2, 'firstname': 'Jan', 'lastname': 'Twardowski'},
    {'id': 3, 'firstname': 'Ivan', 'lastname': 'Ivanovic'},
    {'id': 4, 'firstname': 'Melissa', 'lastname': 'Lewis'},
])

df
#    id  firstname    lastname
# 0   1       Mark      Watney
# 1   2        Jan  Twardowski
# 2   3       Ivan    Ivanovic
# 3   4    Melissa       Lewis

df.set_index('id')
#     firstname    lastname
# id
# 1        Mark      Watney
# 2         Jan  Twardowski
# 3        Ivan    Ivanovic
# 4     Melissa       Lewis

4.3.7. Assignments

Todo

Create assignments