By usingpandas.DataFrame.T.drop_duplicates().Tyou can drop/remove/delete duplicate columns with the same name or a different name. This method removes all columns of the same name beside the first occurrence of the column and also removes columns that have the same data with a different colu...
DataFrame.drop(labels=None,axis=0,index=None,columns=None, inplace=False) 参数说明: labels 就是要删除的行列的名字,用列表给定 axis 默认为0,指删除行,因此删除columns时要指定axis=1; index 直接指定要删除的行 columns 直接指定要删除的列 inplace=False,默认该删除操作不改变原数据,而是返回一个执行删除...
df = pd.read_excel("test.xlsx", dtype=str, keep_default_na='') df.drop(columns=['寄件地区'], inplace=True) 5、列表头改名(补充) 如下:将某列表头【到件地区】修改为【对方地区】 df = pd.read_excel("test.xlsx", dtype=str, keep_default_na='') df = df.rename(columns={'到件地区...
In [1]: dates = pd.date_range('1/1/2000', periods=8) In [2]: df = pd.DataFrame(np.random.randn(8, 4), ...: index=dates, columns=['A', 'B', 'C', 'D']) ...: In [3]: df Out[3]: A B C D 2000-01-01 0.469112 -0.282863 -1.509059 -1.135632 2000-01-02 1.212112...
df.drop(columns = ['col1','col2'...]) df.pop('col_name') del df['col_name'] In the last section, we have shown the comparison of these functions. So stay tuned… Also, See: Drop duplicates in pandas DataFrame Drop columns with NA in pandas DataFrame ...
Given a Pandas DataFrame, we have to remove duplicate columns. Removing duplicate columns in Pandas DataFrame For this purpose, we are going to usepandas.DataFrame.drop_duplicates()method. This method is useful when there are more than 1 occurrence of a single element in a column. It will re...
df.drop_duplicates(keep='first',inplace=True) 9.4. 删除异常值所在的行 df = pd.DataFrame(np.random.random(size=(1000,3)),columns=['A','B','C']) ## 剔除大于2倍标准差的 df.drop(df.loc[~(df['C'] > (2 *df['C'].std()))].index,inplace=True,axis=0) ...
Pandas Drop Duplicates Tutorial Learn how to drop duplicates in Python using pandas. DataCamp Team 4 min tutorial Python Select Columns Tutorial Use Python Pandas and select columns from DataFrames. Follow our tutorial with code examples and learn different ways to select your data today! DataCam...
verify_integrity: boolean, default False. Check whether the new concatenated axis contains duplicates. This can be very expensive relative to the actual data concatenation. copy: boolean, default True. If False, do not copy data unnecessarily. ...
drop_duplicates() Out[42]: k1 k2 0 one 1 1 two 1 2 one 2 3 two 3 4 one 3 5 two 4 In [43]: data['v1'] = range(7) In [44]: data.drop_duplicates(['k1']) Out[44]: k1 k2 v1 0 one 1 0 1 two 1 1 In [45]: data.drop_duplicates(['k1', 'k2'], keep='last...