03.create_data_frame

In [1]:

import pandas as pd

In [2]:

s = pd.Series(["bonggu", 31])
print(s)

0    bonggu
1        31
dtype: object

Series 생성¶

In [3]:

s = pd.Series(["bong_gu", "chatterBOX"])
s = pd.Series(["bong_gu", "cahtterBOX"], index=["person", "who"])
print(s)

person       bong_gu
who       cahtterBOX
dtype: object

DataFrame 생성¶

• dictionary

In [4]:

scientists = pd.DataFrame({
    'Name': ["Bong_gu", "Yang_o"],
    "Job" : ["buyer", "Data_analysis"],
    "Born": ["SEOUL", "DONGHAE"],
    "Age": [31, 31],
    "Hate": ["JaeHyeop","JAeHyeop"]
}, index=["Bong_gu", "Yang_o"], columns=["Name", "Job", "Born", "Hate", "Age"] )
scientists

Out[4]:

	Name	Job	Born	Hate	Age
Bong_gu	Bong_gu	buyer	SEOUL	JaeHyeop	31
Yang_o	Yang_o	Data_analysis	DONGHAE	JAeHyeop	31

In [5]:

## DataFrame에서 순서보장
from collections import OrderedDict

scientists = pd.DataFrame(OrderedDict([
    ["name", ["Rosaline Franklin", "William Gosset"]],
    ["Occupation", ["Chemist", "Statistician"]],
    ["Born", ["1920-07-25", "1876-06-13"]],
    ["Died", ["1958-04-16", "1937-10-16"]],
    ["Age", [37, 61]]
]))

print(scientists)

                name    Occupation        Born        Died  Age
0  Rosaline Franklin       Chemist  1920-07-25  1958-04-16   37
1     William Gosset  Statistician  1876-06-13  1937-10-16   61

In [6]:

from IPython.core.display import display, HTML

display(HTML("<style> .container{width:100% !important;}</style>"))