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'])how to change the column order in pandas dataframe
df = df.reindex(columns=column_names)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()reorder columns pandas
cols = df.columns.tolist()
# Rearrange the list any way you want
cols = cols[-1:] + cols[:-1]
df = df[cols]change column order pandas
# Want to change column3 to show up first
df = pd.Dataframe({
"column1":(1,2,3),
"column2":(4,5,6),
"column3":(7,8,9)
}
# From all solutions I could find, this seems to be the best performance wise:
col = df.pop(col_name)
df.insert(0, col.name, col)# <- works in place and returns None (at least for me)Copyright © 2021 Codeinu
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