change column order dataframe python
# create a dataframe
df = pd.DataFrame({'B':[1,2],'A':[0,0],'C':[1,1]})
# reorder columns as ['A','B','C']
df = df.reindex(columns = ['A','B','C'])change column order dataframe python
# create a dataframe
df = pd.DataFrame({'B':[1,2],'A':[0,0],'C':[1,1]})
# reorder columns as ['A','B','C']
df = df.reindex(columns = ['A','B','C'])python change column order in dataframe
cols = df.columns.tolist()
cols = cols[-1:] + cols[:-1] #bring last element to 1st position
df = df.reindex(cols, axis=1)pandas reorder columns
# setting up a dummy dataframe
raw_data = {'name': ['Willard Morris', 'Al Jennings', 'Omar Mullins', 'Spencer McDaniel'],
'age': [20, 19, 22, 21],
'favorite_color': ['blue', 'red', 'yellow', "green"],
'grade': [88, 92, 95, 70]}
df = pd.DataFrame(raw_data, index = ['Willard Morris', 'Al Jennings', 'Omar Mullins', 'Spencer McDaniel'])
df
#now 'age' will appear at the end of our df
df = df[['favorite_color','grade','name','age']]
df.head()python more order of columns
In [7]: cols = df.columns.tolist()
In [8]: cols
Out[8]: [0L, 1L, 2L, 3L, 4L, 'mean']
In [12]: cols = cols[-1:] + cols[:-1]
In [13]: cols
Out[13]: ['mean', 0L, 1L, 2L, 3L, 4L]
In [14]: df = df[cols]python pandas change column order
In [39]: df
Out[39]:
0 1 2 3 4 mean
0 0.172742 0.915661 0.043387 0.712833 0.190717 1
1 0.128186 0.424771 0.590779 0.771080 0.617472 1
2 0.125709 0.085894 0.989798 0.829491 0.155563 1
3 0.742578 0.104061 0.299708 0.616751 0.951802 1
4 0.721118 0.528156 0.421360 0.105886 0.322311 1
5 0.900878 0.082047 0.224656 0.195162 0.736652 1
6 0.897832 0.558108 0.318016 0.586563 0.507564 1
7 0.027178 0.375183 0.930248 0.921786 0.337060 1
8 0.763028 0.182905 0.931756 0.110675 0.423398 1
9 0.848996 0.310562 0.140873 0.304561 0.417808 1
In [40]: df = df[['mean', 4,3,2,1]]Copyright © 2021 Codeinu
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