{'col_A': 1, 'col_B': 2, 'col_C': 3}

dict(col_A=1, col_B=2, col_C=3)

dict(zip(['col_A', 'col_B', 'col_C'], [1, 2, 3]))

# dictを使わず、内包表記を利用
{ col: v for col, v in zip(['col_A', 'col_B', 'col_C'], [1, 2, 3]) }

{'col_A': [1, 2, 3], 'col_B': [4, 5, 6], 'col_C': [7, 8, 9]}

dict(col_A=[1, 2, 3], col_B=[4, 5, 6], col_C=[7, 8, 9])

dict(zip(['col_A', 'col_B', 'col_C'], [[1, 2, 3], [4, 5, 6], [7, 8, 9]]))

{col: v for col, v in zip(['col_A', 'col_B', 'col_C'], [[1, 2, 3], [4, 5, 6], [7, 8, 9]])}

list_1 = ['col_' + s for s in list('ABC')]
list_2 = [i for i in range(3)]
d = {k: v for k, v in zip(list_1, list_2)}
d

>> {'col_A': 0, 'col_B': 1, 'col_C': 2}

# リストから
pd.DataFrame(
    data = [1,2,3,4]
)

pd.DataFrame(
    data = zip(
        [1,2,3,4],
        [5,6,7,8])
)

# dictから
pd.DataFrame(
    data = {'col_A': [1,2,3,4]}
)

pd.DataFrame(
    data = {'col_A': [1,2,3,4],
            'col_B': [5,6,7,8]}
)

pd.DataFrame(
    data = {'col_A': [1, 2, 3, 4],
            'col_B': [5, 6, 7, 8],
            'col_C': [9, 0, 1, 2]
           })

pd.DataFrame(
    data = [
        {'col_A': 1, 'col_B': 5, 'col_C': 9},
        {'col_A': 2, 'col_B': 6, 'col_C': 0},
        {'col_A': 3, 'col_B': 7, 'col_C': 1},
        {'col_A': 4, 'col_B': 8, 'col_C': 2},
    ])

import numpy as np
import pandas as pd
import random

np.random.seed(1)
np.random.randint(1, 11, (5, 3))

>> array([[ 6,  9, 10],
         [ 6,  1,  1],
         [ 2,  8,  7],
         [10,  3,  5],
         [ 6,  3,  5]])

np.random.seed(1)
data = np.random.randint(1, 11, (5, 3))
pd.DataFrame(
    data = data,
    columns = list('ABC')
)

data = np.arange(15).reshape(5,3)
pd.DataFrame(
    data = data,
    columns = list('ABC')
)

# サンプルのデータをつくりましょう、となったら（上をならって）
df = pd.DataFrame(np.random.randint(1, 11, (5, 3)), columns = list('ABC'))
df

# dfをdictへ変換するには
a_dict = df.to_dict()
a_dict

>> 
{'A': {0: 3, 1: 8, 2: 8, 3: 10, 4: 7},
 'B': {0: 5, 1: 10, 2: 1, 3: 10, 4: 10},
 'C': {0: 8, 1: 2, 2: 7, 3: 8, 4: 2}}

# dictをdfに変換するには
pd.DataFrame(a_dict)

# dfをCSVへ出力するには
df.to_csv('test.csv', index=False)

# csvをpandas経由で読み出すと。まんま。
pd.read_csv('test.csv')

# 非構造なCSVをpanadaで読むと
with open('test.csv', 'r') as f:
    robj = csv.reader(f)
    df = pd.DataFrame(robj)
df

# dictにしたいなら
df.to_dict()

# 関数にするとこんな感じ
def get_values_of_dict(No):
    for dict in a_dict.items(): # items()が必要
        Name, Age, Point = dict[No].values()
        return (Name, Age, Point)

Name, Age, Point = get_values_of_dict(1)
print(Name, Age, Point)
>> Alice 40 80.0