您可以设置如下循环: 首先确保索引不包含重复项: df = df.reset_index(drop=True) 然后在行和列之间循环,最后将答案放入第6列: for idx in df.index: for i range(6): # loop through the columns and do what you need to do here colVal = df.loc[idx,i] #contains value of the column i #...
删除columns某一列 df.drop(['Unnamed:16'],axis=1,inplace=True) 循环行Loop through rows # Loop through rows in a DataFrame # (if you must) for index, row in df.iterrows(): print index, row['some column'] # Much faster way to loop through DataFrame rows # if you can work with...
# creating a list of dataframe columns columns = list(df) for i in columns: # printing the third element of the column print (df[i][2]) 0 0 python-使用数据框迭代 # Option 1 for row in df.iterrows(): print row.loc[0,'A'] print row.A print row.index() # Option 2 for i...
python DataFrame.drop(labels=None,axis=0,index=None,columns=None, inplace=False) 哆哆Excel 2022/10/25 4.7K0 Pandas DataFrame显示行和列的数据不全 displaymaxpandasrowsset pd.set_option('display.max_columns', None) 用户7886150 2020/12/26 6.9K0 pandas’_pandas 删除列 pythonhttpsjava网络安全 版...
itertuples(): 按行遍历，将DataFrame的每一行迭代为元祖，可以通过row[name]对元素进行访问，比iterrows...
Limiting the number of columns can reduce the mental overhead of keeping the data model in your head. When exploring a new data set, it might be necessary to break to task into manageable chunks. In some cases, you may need to loop through columns and perform calculations or cleanups in ...
# separately get matching columns (you may vectorize this) same_cols = [] for colname in df.columns: if colname in df1: same_cols.append(colname) # because fuzzy.ration is very time consuming calculation # I would reco to have it before iteration through columns for game in df.index:...
This will loop through each column of the DataFrame and check if its data type is ‘object’, which is the data type for string columns in Pandas. If the data type is ‘object’, thestr.upper()method will be applied to the column. ...
如何通过循环传递 Dataframe 列表将代码 Package 在一个函数中，然后在list上循环并应用该函数会更容易 ...
oneFileData.index.name ="No"oneFileData.columns.name ="No2"# 这个设置了好像就显示不出来了。oneFileData.index = oneFileData.index +1# oneFileData.rename(columns={"result1":"result1"+"\nresult1_1"}, inplace=True)multHd = [] multHd.append((t_hitNos,"")) ...