Python: pandas.DataFrame如何移除所有空白列?pandas.isna( df_raw[0] ).tolist() ; df_drop0 = df_raw.drop(nanIdx,axis=0).reset_index(drop=True)

csv檔請參考前篇:

pandas.DataFrame如何移除所有空白列?

用 is np.nan 做判斷式

但官網建議pandas.isna()

本篇改用isna()重做

官網說明 pandas.DataFrame.drop() 

DataFrame.drop(labels=None, *, axis=0,

index=None, columns=None,

level=None, inplace=False, errors=’raise’)

fpath = r”C:\antenna_AMS\21046\emt2csv\01\01test.csv”
import pandas as pd
df_raw = pd.read_csv(fpath,header=None)

boolLst= list( pd.isna( df_raw[0] ) )
print(boolLst)

boolLst1 =pd.isna( df_raw[0] ).tolist()
print(boolLst1) #5,8列同效

#df_raw[0]只要一個[],若使用[[]],

#外觀一樣但型態會變成DataFrame

#tolist()會失敗,list()也會變成[0]

#df_raw[0]: 14列,第4,9列為NaN

nanIdx = []
for i in range(len(boolLst)):
    if boolLst[i] == True: nanIdx.append(i)
print(“NaN index:”,nanIdx)
df_drop0 = df_raw.drop(nanIdx,axis=0)

#df_drop0 = df_raw.drop(nanIdx,axis=0).reset_index(drop=True)

#reset_index(drop=True) ,

#可以重置index,並將原index刪除
print(df_drop0)

輸出結果:

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