如何以特定样式显示数据帧列表？

Question

我已经清理了我的数据集，并在不同的数据帧中分离了代码块。这些数据帧被放入一个列表中。就个人而言，它工作得很好，但在循环中，我没有得到任何输出

def trialflag(x):
  default=''
  green='background-color: green'
  blue='background-color: blue'
  yellow='background-color: yellow'
  orange='background-color: orange'
  red='background-color: red'
  g= x['THI Flag'] == "Green"
  b= x['THI Flag'] == "Blue"
  y= x['THI Flag'] == "Yellow"
  o= x['THI Flag'] == "Orange"
  r= x['THI Flag'] == "Red"
  df1 = pd.DataFrame(default, index=x.index, columns=x.columns)
  df1.loc[g, ['THI','THI Flag']] = green
  df1.loc[b,['THI','THI Flag']]= blue
  df1.loc[y, ['THI','THI Flag']] = yellow
  df1.loc[o,['THI','THI Flag']] = orange
  df1.loc[r,['THI','THI Flag']] = red
  return df1

for i in range(0,ntrans):
  (transformerlist[I].head(5))[['Meter_Serial_Number','THI','THI Flag','THI Action']].style.apply(trialflag,axis=None)

输出：（我什么也得不到）

对于此示例：

def trialflag(x):
  default=''
  green='background-color: green'
  blue='background-color: blue'
  yellow='background-color: yellow'
  orange='background-color: orange'
  red='background-color: red'
  g= x['THI Flag'] == "Green"
  b= x['THI Flag'] == "Blue"
  y= x['THI Flag'] == "Yellow"
  o= x['THI Flag'] == "Orange"
  r= x['THI Flag'] == "Red"
  df1 = pd.DataFrame(default, index=x.index, columns=x.columns)
  df1.loc[g, ['THI','THI Flag']] = green
  df1.loc[b,['THI','THI Flag']]= blue
  df1.loc[y, ['THI','THI Flag']] = yellow
  df1.loc[o,['THI','THI Flag']] = orange
  df1.loc[r,['THI','THI Flag']] = red
  return df1

transdup=transformerlist[0]
transformerlist[0].head(5)[['Meter_Serial_Number','THI','THI Flag']].style.apply(trialflag,axis=None)

输出： Click to see image

我试图得到一个输出，它显示transformerlist中每个数据帧的样式。如有任何想法和建议，将不胜感激

Answer 1

您需要在循环中调用display

for df in df_list:
    df = df.style.apply(trialflag,axis=None)
    display(df)