What is the application of python in excel-Python Tutorial-php.cn

What is the application of python in excel

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Release： 2023-01-03 09:28:04

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Application of python in excel: 1. pandas operates a single row specified by Excel; 2. Reads specified multiple rows; 3. Reads specified rows and columns; 4. Reads specified multi-row and multi-column values. ;5. Get the specified columns of all rows; 6. Get the row number and print the output.

What is the application of python in excel

The operating environment of this tutorial: Windows 7 system, python version 3.9, DELL G3 computer.

Application of python in excel:

1. Pandas operates Excel rows and columns

1. Read the specified For a single row, the data will be stored in the list

#1：读取指定行
df=pd.read_excel(&#39;lemon.xlsx&#39;)#这个会直接默认读取到这个Excel的第一个表单
data=df.ix[0].values#0表示第一行 这里读取数据并不包含表头，要注意哦！
print("读取指定行的数据：\n{0}".format(data))

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The result obtained is as follows:

What is the application of python in excel

2. Read the specified multiple rows, and the data will be nested In the list:

df=pd.read_excel(&#39;lemon.xlsx&#39;)
data=df.ix[[1,2]].values#读取指定多行的话，就要在ix[]里面嵌套列表指定行数
print("读取指定行的数据：\n{0}".format(data))

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3. Read the specified row and column:

df=pd.read_excel(&#39;lemon.xlsx&#39;)
data=df.ix[1,2]#读取第一行第二列的值，这里不需要嵌套列表
print("读取指定行的数据：\n{0}".format(data))

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4. Read the specified multi-row and multi-column values:

df=pd.read_excel(&#39;lemon.xlsx&#39;)
data=df.ix[[1,2],[&#39;title&#39;,&#39;data&#39;]].values#读取第一行第二行的title以及data列的值，这里需要嵌套列表
print("读取指定行的数据：\n{0}".format(data))

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5. Get all rows The specified column

df=pd.read_excel(&#39;lemon.xlsx&#39;)
data=df.ix[:,[&#39;title&#39;,&#39;data&#39;]].values#读所有行的title以及data列的值，这里需要嵌套列表
print("读取指定行的数据：\n{0}".format(data))

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6. Get the row number and print it out

df=pd.read_excel(&#39;lemon.xlsx&#39;)
print("输出行号列表",df.index.values)
输出结果是：
输出行号列表 [0 1 2 3]

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7. Get the column name and print it out

df=pd.read_excel(&#39;lemon.xlsx&#39;)
print("输出列标题",df.columns.values)
运行结果如下所示：
输出列标题 [&#39;case_id&#39; &#39;title&#39; &#39;data&#39;]

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8. Get the value of the specified row number:

df=pd.read_excel(&#39;lemon.xlsx&#39;)
print("输出值",df.sample(3).values)#这个方法类似于head()方法以及df.values方法
输出值
 [[2 &#39;输入错误的密码&#39; &#39;{"mobilephone":"18688773467","pwd":"12345678"}&#39;]
 [3 &#39;正常充值&#39; &#39;{"mobilephone":"18688773467","amount":"1000"}&#39;]
 [1 &#39;正常登录&#39; &#39;{"mobilephone":"18688773467","pwd":"123456"}&#39;]]

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9. Get the value of the specified column:

df=pd.read_excel(&#39;lemon.xlsx&#39;)
print("输出值\n",df[&#39;data&#39;].values)

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2: pandas processes Excel data into a dictionary

What is the application of python in excel

We have such data, which is processed into a list of nested dictionaries, and the key of the dictionary is the header name.

The implemented code is as follows:

df=pd.read_excel(&#39;lemon.xlsx&#39;)
test_data=[]
for i in df.index.values:#获取行号的索引，并对其进行遍历：
    #根据i来获取每一行指定的数据 并利用to_dict转成字典
    row_data=df.ix[i,[&#39;case_id&#39;,&#39;module&#39;,&#39;title&#39;,&#39;http_method&#39;,&#39;url&#39;,&#39;data&#39;,&#39;expected&#39;]].to_dict()
    test_data.append(row_data)
print("最终获取到的数据是：{0}".format(test_data))

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The final result is:

[{&#39;title&#39;: &#39;正常登录&#39;, &#39;case_id&#39;: 1, &#39;data&#39;: &#39;{"mobilephone":"18688773467","pwd":"123456"}&#39;}, 
{&#39;title&#39;: &#39;输入错误的密码&#39;, &#39;case_id&#39;: 2, &#39;data&#39;: &#39;{"mobilephone":"18688773467","pwd":"12345678"}&#39;}, 
{&#39;title&#39;: &#39;正常充值&#39;, &#39;case_id&#39;: 3, &#39;data&#39;: &#39;{"mobilephone":"18688773467","amount":"1000"}&#39;}, 
{&#39;title&#39;: &#39;充值输入负数&#39;, &#39;case_id&#39;: 4, &#39;data&#39;: &#39;{"mobilephone":"18688773467","amount":"-100"}&#39;}]

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