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需要根据第一个非 NaN 值获取列名，并在新列中返回该列名

[英]Need to fetch column name based on first non NaN value, and return that column name in a new column

原文 2020-07-13 19:10:23 3 1 python/ pandas/ loc

I have 12 columns, each labeled 1-12 that are representing months.我有 12 列，每列标记为 1-12，代表月份。 Some columns have a data reading, and others are blank (nan).有些列有数据读取，而其他列是空白（nan）。 I need to have a new column that displays the first month with a reading.我需要一个新列来显示第一个月的读数。 I also need another column that displays the last column with a reading.我还需要另一列显示最后一列的读数。

Right now I have tried: df['df_initial_month] = first_valid_index() In the very first column I have "ID's" that I would like to skip.现在我已经尝试过： df['df_initial_month] = first_valid_index()在第一列中，我有我想跳过的“ID”。 Right now when I run the code it just displays the first ID in every single row of the new column现在，当我运行代码时，它只会在新列的每一行中显示第一个 ID

I have also tried using df.ffill(axis=1).iloc[:,0]我也尝试过使用df.ffill(axis=1).iloc[:,0]

1 个解决方案

Define column_list to be a list containing columns names of the columns corresponding to the 12 months and then try the following: df['df_initial_month'] = df[column_list].apply(pd.DataFrame.first_valid_index, axis=1) .将 column_list 定义为包含对应于 12 个月的列的列名的列表，然后尝试以下操作： df['df_initial_month'] = df[column_list].apply(pd.DataFrame.first_valid_index, axis=1) 。

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在新数据帧中返回第一个匹配的值/列名称 - Return first matching value/column name in new dataframe

根据列名和最后一个非NaN值压缩pandas数据帧 - Compress pandas dataframe based on column name and last non-NaN value

根据列值返回SQL Server列名和相应的值 - Return SQL Server column name and corresponding value based on column value

根据Pandas中的列名重新分配NaN - Reassign NaN based on column name in Pandas

Pandas 用基于另一列的第一个非 nan 值替换 nan - Pandas replace nan with first non-nan value based on another column

返回列的列名包含文本值 - return the column name for a column containig a text value

按行熊猫具有非空值的第一列名称 - First column name with non null value by row pandas

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相关问题 Pandas按行查找第一个nan值并返回列名 - Pandas find first nan value by rows and return column name 返回新列中每一行中第一个匹配值的列名 - Return column name of the first matching value in each row in a new column 返回第一个非零值的列名 - Return the column name of the first non-zero value 在新数据帧中返回第一个匹配的值/列名称 - Return first matching value/column name in new dataframe 根据列名和最后一个非NaN值压缩pandas数据帧 - Compress pandas dataframe based on column name and last non-NaN value 根据列值返回SQL Server列名和相应的值 - Return SQL Server column name and corresponding value based on column value 根据Pandas中的列名重新分配NaN - Reassign NaN based on column name in Pandas Pandas 用基于另一列的第一个非 nan 值替换 nan - Pandas replace nan with first non-nan value based on another column 返回列的列名包含文本值 - return the column name for a column containig a text value 按行熊猫具有非空值的第一列名称 - First column name with non null value by row pandas

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