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: []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: []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)dataframe names pandas
print(df.rename(columns={'A': 'a', 'C': 'c'}))Copyright © 2021 Codeinu
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