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# -*- coding: utf-8 -*- | |
# numpyをnpとしてインポート | |
import numpy as np | |
# pandasをpdとしてインポート | |
import pandas as pd | |
# リストの作成 | |
d_list1 = ['Yamada Taro', 'Yamada Hanako'] | |
d_list2 = [172.5, 160.5] | |
d_list3 = ['name','height'] | |
# リストからnumpy arrayへの変換 | |
d_array1 = np.array(d_list1) | |
d_array2 = np.array(d_list2) | |
d_array3 = np.array(d_list3) | |
# numpy_arrayの要素の追加 | |
print("要素の追加前:",d_array1,d_array2) | |
d_array1 = np.append(d_array1,'Wakayama Dai') | |
d_array2 = np.append(d_array2,180.2) | |
print("要素の追加後:",d_array1,d_array2) | |
print("-------\n") | |
# numpy_arrayの要素への様々な参照方法 | |
print("全ての要素:",d_array1[:]) | |
print("0番目の要素:",d_array1[0]) | |
print("1番目までの要素:",d_array1[:2]) | |
print("最後の要素:",d_array1[-1]) | |
print("0から1番目までの要素:",d_array1[0:2]) | |
print("170以上のインデックス:",np.where(d_array2>170)) | |
print("170以上の要素:",d_array1[d_array2>170]) | |
print("-------\n") | |
# numpy arrayからdataframeへの変換 | |
# pandas.Seriesを用いて項目名にd_array3の要素(name, height)を設定する | |
column1 = pd.Series(d_array1,name=d_array3[0]) | |
column2 = pd.Series(d_array2,name=d_array3[1]) | |
# 2つの列をpandas.concatで結合し、dataframeを作成する | |
d_dataframe = pd.concat([column1,column2],axis=1) | |
print("d_dataframe:\n",d_dataframe,"\n") | |
print("name列:\n",d_dataframe["name"],"\n") | |
print("height列のインデックス0番:",d_dataframe["height"][0],"\n") |
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