pandas left join
df.merge(df2, left_on = "doc_id", right_on = "doc_num", how = "left")
pandas left join
df.merge(df2, left_on = "doc_id", right_on = "doc_num", how = "left")
python pandas apply to one column
df['a'] = df['a'].apply(lambda x: x + 1)
reorder columns pandas
cols = df.columns.tolist()
# Rearrange the list any way you want
cols = cols[-1:] + cols[:-1]
df = df[cols]
pandas 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')
how to merge two pandas dataframes on a column
import pandas as pd
T1 = pd.merge(T1, T2, on=T1.index, how='outer')
merge two columns pandas
df["period"] = df["Year"] + df["quarter"]
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