python return column names of pandas dataframe
# Basic syntax:
your_dataframe.columns
# Note, if you want the column names as a list, just do:
list(your_dataframe.columns)python return column names of pandas dataframe
# Basic syntax:
your_dataframe.columns
# Note, if you want the column names as a list, just do:
list(your_dataframe.columns)create dataframe with column names pandas
In [4]: import pandas as pd
In [5]: df = pd.DataFrame(columns=['A','B','C','D','E','F','G'])
In [6]: df
Out[6]:
Empty DataFrame
Columns: [A, B, C, D, E, F, G]
Index: []pd dataframe get column names
lst = data.columns.values # data is dataframechanging names of column pandas
import pandas as pd
# You don't need these two lines
# as you already have your DataFrame in memory
df = pd.read_csv("nor.txt", sep="|")
df.drop(df.columns[-1], axis=1)
# Get column names
cols = df.columns
# Create a new DataFrame with just the markdown
# strings
df2 = pd.DataFrame([['---',]*len(cols)], columns=cols)
#Create a new concatenated DataFrame
df3 = pd.concat([df2, df])
#Save as markdown
df3.to_csv("nor.md", sep="|", index=False)name columns pandas
>gapminder.columns = ['country','year','population',
'continent','life_exp','gdp_per_cap']Copyright © 2021 Codeinu
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