如何检查 Pandas 中是否存在列 [英] How to check if a column exists in Pandas

问题描述

有没有办法检查 Pandas DataFrame 中是否存在列?

假设我有以下数据帧:

<预><代码>>>>将熊猫导入为 pd>>>来自随机导入 randint>>>df = pd.DataFrame({'A': [randint(1, 9) for x in xrange(10)],'B': [randint(1, 9)*10 for x in xrange(10)],'C': [randint(1, 9)*100 for x in xrange(10)]})>>>df乙丙0 3 40 1001 6 30 2002 7 70 8003 3 50 2004 7 50 4005 4 10 4006 3 70 5007 8 30 2008 3 40 8009 6 60 200

我想计算 df['sum'] = df['A'] + df['C']

但首先我想检查 df['A'] 是否存在，如果不存在，我想计算 df['sum'] = df['B'] +df['C'] 代替.

解决方案

这会起作用:

if 'A' in df:

但为了清楚起见，我可能会写成:

if 'A' in df.columns:

Is there a way to check if a column exists in a Pandas DataFrame?

Suppose that I have the following DataFrame:

>>> import pandas as pd
>>> from random import randint
>>> df = pd.DataFrame({'A': [randint(1, 9) for x in xrange(10)],
                       'B': [randint(1, 9)*10 for x in xrange(10)],
                       'C': [randint(1, 9)*100 for x in xrange(10)]})
>>> df
   A   B    C
0  3  40  100
1  6  30  200
2  7  70  800
3  3  50  200
4  7  50  400
5  4  10  400
6  3  70  500
7  8  30  200
8  3  40  800
9  6  60  200

and I want to calculate df['sum'] = df['A'] + df['C']

But first I want to check if df['A'] exists, and if not, I want to calculate df['sum'] = df['B'] + df['C'] instead.

解决方案

This will work:

if 'A' in df:

But for clarity, I'd probably write it as:

if 'A' in df.columns:

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