[英]Python Pandas read_excel without converting int to float
im reading an Excel file:我正在阅读一个 Excel 文件:
df = pd.read_excel(r'C:\test.xlsx', 'Sheet0', skiprows = 1)
The Excel file contains a column formatted General and a value like "405788", after reading this with pandas the output looks like "405788.0" so its converted as float. Excel 文件包含一个格式为 General 的列和一个类似“405788”的值,在用 Pandas 读取后,输出看起来像“405788.0”,因此它被转换为浮点数。 I need any value as String without changing the values, can someone help me out with this?
我需要任何值作为字符串而不更改值,有人可以帮我解决这个问题吗?
You can try to use the dtype attribute of the read_excel method.您可以尝试使用 read_excel 方法的 dtype 属性。
df = pd.read_excel(r'C:\test.xlsx', 'Sheet0', skiprows = 1,
dtype={'Name': str, 'Value': str})
More information in the pandas docs: https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.read_excel.html熊猫文档中的更多信息: https : //pandas.pydata.org/pandas-docs/stable/reference/api/pandas.read_excel.html
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