模組安裝步驟 check List

測試資料分析的相關套件、依賴是否有成功安裝

## import numpy and pandas
import numpy as np
import pandas as pd

## numpy and pandas version check
print('軟體版本確認 Package version check !')

print('Numpy with version: ', np.__version__)

print('Pandas with version: ', pd.__version__)

軟體版本確認 Package version check !
Numpy with version:  1.24.4
Pandas with version:  2.0.3

套件的小小範例:

套件使用的小範例，用於證明軟體安裝成功

Numpy 基本範例:

說明可以看 Numpy官網
建立一個基本陣列

# create array with integer type
array1 = np.arange(4,14, dtype=np.int64)
print ("print 1st array: ",array1)

# create array with float type
array2 = np.arange(-4,4,0.5,dtype=np.float64)
print("print 2nd array: ", array2)

# create matrixs from an array
print('reshape 1st array to 2X5 matrix: ', array1.reshape(2,5))
print('reshape 1st array to 5X2 matrix: ', array1.reshape(5,2))
print ("print 1st array Again: ",array1)

print 1st array:  [ 4  5  6  7  8  9 10 11 12 13]
print 2nd array:  [-4.  -3.5 -3.  -2.5 -2.  -1.5 -1.  -0.5  0.   0.5  1.   1.5  2.   2.5
  3.   3.5]
reshape 1st array to 2X5 matrix:  [[ 4  5  6  7  8]
 [ 9 10 11 12 13]]
reshape 1st array to 5X2 matrix:  [[ 4  5]
 [ 6  7]
 [ 8  9]
 [10 11]
 [12 13]]
print 1st array Again:  [ 4  5  6  7  8  9 10 11 12 13]

Pandas 基本範例:

使用 Pandas 建立 Series 資料

# create a series with indexs through pandas
series1 = pd.Series(np.arange(0,10))
print(series1)
series2 = pd.Series(np.arange(0,5),index=['a','b','c','d','e'])
print(series2)

0    0
1    1
2    2
3    3
4    4
5    5
6    6
7    7
8    8
9    9
dtype: int64
a    0
b    1
c    2
d    3
e    4
dtype: int64

如果上述測試都成功代表，軟體已安裝成功