})# 使用 fill_value 处理 NaNresult = df.divide(df3, fill_value=1) print(result)
"a"), (1, "b"), (1, "c"), (2, "a")], names=["first", "second"] ...: ) ...: In [28]: dfmi.sub(column, axis=0, level="second") Out[28]: one two three first second 1 a -0.377535 0.000000 NaN b -1.569069 0.000000 -1.962513 c -0.783123 0.000000 ...
Example: Dividing different column by different value Different column can be divided by different scalar value by providingotherargument as a list. Consider the following example: importpandasaspdimportnumpyasnp df=pd.DataFrame({"Bonus":[5,3,2,4],"Salary":[60,62,65,59]},index=["John","...
Python pandas.DataFrame.pivot_table函数方法的使用 pandas.DataFrame.pivot_table 是 Pandas 中用于数据透视表(pivot table)的函数,可以通过对数据进行聚合、重塑和分组来创建一个新的 DataFrame。通过 pivot_table 方法,可以对数据进行汇总、统计和重组,类似于 Excel 中的透视表功能。本文主要介绍一下Pandas中pandas.D...
Other related tutorials. NumPy Divide Array by Scalar in Python Copy a NumPy Array to the Clipboard through Python Convert the DataFrame to a NumPy Array Without Index in Python Bijay Kumar I am Bijay Kumar, aMicrosoft MVP
raise ValueError('Cannot divide by zero!') return x / y 步骤4:打包命令 执行以下命令,将项目目录打包为一个分发包: $ cd project $ python setup.py sdist 执行完成后会生成一个名为dist的目录,其中包含了刚刚打包好的压缩文件mylib-0.1.0.tar.gz。
divide(other[, level, fill_value, axis]) 按元素方式返回系列和其他的浮点除法结果(二进制操作符truediv)。 divmod(other[, level, fill_value, axis]) 返回系列和其他的整数除法和模运算结果(二进制操作符divmod)。 dot(other) 计算Series和other的点积。 drop([labels, axis, index, columns, level, ....
iat Fast integer location scalar accessor. iloc Purely integer-location based indexing for selection by position. imag is_copy is_time_series is_unique Return boolean if values in the object are unique itemsize return the size of the dtype of the item of the underlying data ix A primaril...
[21]: column = df['two'] In [22]: df.sub(row, axis='columns') Out[22]: one two three a 1.051928 -0.139606 NaN b 0.000000 0.000000 0.000000 c 0.352192 -0.433754 1.277825 d NaN -1.632779 -0.562782 In [23]: df.sub(row, axis=1) Out[23]: one two three a 1.051928 -0.139606 NaN...
'_iter_column_arrays', '_ix', '_ixs', '_join_compat', '_maybe_cache_changed', '_maybe_update_cacher', '_metadata', '_needs_reindex_multi', '_obj_with_exclusions', '_protect_consolidate', '_reduce', '_reindex_axes', '_reindex_columns', '_reindex_index', '_reindex_multi', ...