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 dataframe
changing 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']
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