,"outputs":[
],"source":[
"import numpy as np\n"
,"import pandas as pd"]}
,,"source":[
"### 分組 group"]}
,,"source":[
"#### 生成資料"]}
,,"outputs":[
,"execution_count":22
,"metadata":,
"output_type"
:"execute_result"}]
,"source":[
"df = pd.dataframe(data = )\n"
,"# 性別轉化\n"
,"def convert(x):\n"
," if x == 0:\n"
," return '女'\n"
," else:\n"
," return '男'\n",,
"# 左右手進行轉化\n"
,"def convert2(x):\n"
," if x < 19:\n"
," return 'right'\n"
," else:\n"
," return 'left'\n",,
"df"]}
,,"source":[
"#### 分組計算，前提，屬性相同"]}
,,"outputs":[
,"execution_count":18
,"metadata":,
"output_type"
:"execute_result"}]
,"source":[
"# 用手習慣，進行分組，統計，iq和eq是否跟左右手影響\n"
,"# 分成兩組\n"
,"g = df.groupby(by = ['hand'])[['iq','eq']]\n"
,"g.max()"]}
,,"outputs":[
,"execution_count":20
,"metadata":,
"output_type"
:"execute_result"}]
,"source":[
"g = df.groupby(by = ['hand'])[['iq','eq']]\n"
,"g.mean().round(1)"]}
,,"outputs":[
,"execution_count":21
,"metadata":,
"output_type"
:"execute_result"}]
,"source":[
"# 分組的屬性可以是多個\n"
,"g = df.groupby(by = ['hand','***'])\n"
,"g.max()"]}
],"metadata":,
"language_info":,
"file_extension"
:".py"
,"mimetype"
:"text/x-python"
,"name"
:"python"
,"nbconvert_exporter"
:"python"
,"pygments_lexer"
:"ipython3"
,"version"
:"3.8.1"}}
,"nbformat":4
,"nbformat_minor":4
}
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