Python 如果另一个单元格超出其值，则为整列设置颜色格式单元格

Question

我有一个数据框 (df)，在“评级”列中有一个值，在“600”列中有另一个值。我想遍历整个 df 并根据其大于还是小于列“600”中的值对称为“评级”的整个列进行颜色编码。如果我将评级列与设定值进行比较，我已经能够做到这一点，但没有运气遍历列标题“600”中的每个唯一值。

for index, row in df.iterrows():
    if row[600] == float:
        df.styled=df.style\
            .applymap(lambda x: 'background-color: %s' % 'crimson' if row['600'] > row['Rating'] 
                                                                else 'background-color: %s' % 'orange' if row['600'] < row['Rating'])

我也尝试过这种方法，但没有成功：

def HIGHLIGHT(row):
    red = 'background-color: red;'
    blue = 'background-color: blue;'
    green = 'background-color: green;'


    if row['600'] > row['Rating']:
        return [red, blue]
    elif row['600'] < row['Rating']:
        return [blue, red]
    else:
        return [green, green]

df.style.apply(HIGHLIGHT, subset=['600', 'Rating'], axis=1)

Answer 1

当我这样做时：

ratings = [9,8,3,5,6]
the600 = [10, 6, 5, 2, 1]
df = pd.DataFrame([ratings, the600]).T
df.columns = ['Rating', '600']

def HIGHLIGHT(row):
    red = 'background-color: red;'
    blue = 'background-color: blue;'
    green = 'background-color: green;'


    if row['600'] > row['Rating']:
        return [red, blue]
    elif row['600'] < row['Rating']:
        return [blue, red]
    else:
        return [green, green]

df.style.apply(HIGHLIGHT, subset=['600', 'Rating'], axis=1)

我明白了：

如果它不适合您，我建议您使用 df.dtypes 检查数据类型。例如，如果我按以下方式更改其中一个评级值：

ratings = [9,8,3,"5",6]

我收到这个错误：

TypeError: '>' not supported between instances of 'str' and 'int'

Answer 2

@le-camerone，你的回答帮助我弄清楚发生了什么。我将整个 table 作为浮点值，由于某些原因，这种类型的条件格式在浮点数之间不起作用，但是，在转换为整数后，我能够得到预期的结果。这是我在将浮点数转换为整数的代码之前包含的内容。

df['600'] =pd.to_numeric(df['600'], errors = 'coerce')
df['Rating'] =pd.to_numeric(df['Rating'], errors = 'coerce')

df = df.dropna(subset=['600'])
df = df.dropna(subset=['Rating'])

df['600'] = df['600'].astype(int)
df['Rating'] = df['Rating'].astype(int)

def HIGHLIGHT(row):
    red = 'background-color: red;'
    blue = 'background-color: blue;'
    green = 'background-color: green;'


    if row['600'] > row['Rating']:
        return [red, blue]
    elif row['600'] < row['Rating']:
        return [blue, red]
    else:
        return [green, green]

df.style.apply(HIGHLIGHT, subset=['600', 'Rating'], axis=1)

Python 如果另一个单元格超出其值，则为整列设置颜色格式单元格

Python to color format cell if another cell exceeds it's value, for an entire column

python

pandas

compare

cell

conditional-formatting