drop multiple columns pandas
yourdf.drop(['columnheading1', 'columnheading2'], axis=1, inplace=True)drop multiple columns pandas
yourdf.drop(['columnheading1', 'columnheading2'], axis=1, inplace=True)merge two dataframes based on column
df_outer = pd.merge(df1, df2, on='id', how='outer') #here id is common column
df_outerpandas merge two columns from different dataframes
#suppose you have two dataframes df1 and df2, and
#you need to merge them along the column id
df_merge_col = pd.merge(df1, df2, on='id')merge two dataframes based on column
df_merge_col = pd.merge(df_row, df3, on='id')
df_merge_colmerge two columns pandas
df["period"] = df["Year"] + df["quarter"]dataframe concatenate
# Pandas for Python
df['col1 & col2'] = df['col1']+df['col2']
#Output
#col1 col2 col1 & col2
#A1 A2 A1A2
#B1 B2 B1B2Copyright © 2021 Codeinu
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