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“how to merge two pandas dataframes on a column” Code Answer’s

combining 2 dataframes pandas

python by Cheerful Cheetah on May 13 2020 Donate

df_3 = pd.concat([df_1, df_2])

how to merge two pandas dataframes on a column

python by Difficult Duck on Jun 19 2020 Donate

import pandas as pd
T1 = pd.merge(T1, T2, on=T1.index, how='outer')

Source: stackoverflow.com

Joins with another DataFrame

python by Ethercourt.ml on Apr 20 2020 Donate

# Joins with another DataFrame

df.join(df2, df.name == df2.name, 'outer').select(
  df.name, df2.height).collect()
# [Row(name=None, height=80), Row(name=u'Bob', height=85), Row(
#   name=u'Alice', height=None)]

df.join(df2, 'name', 'outer').select('name', 'height').collect()
# [Row(name=u'Tom', height=80), Row(name=u'Bob', height=85), Row(
#   name=u'Alice', height=None)]

cond = [df.name == df3.name, df.age == df3.age]
df.join(df3, cond, 'outer').select(df.name, df3.age).collect()
# [Row(name=u'Alice', age=2), Row(name=u'Bob', age=5)]

df.join(df2, 'name').select(df.name, df2.height).collect()
# Row(name=u'Bob', height=85)]

df.join(df4, ['name', 'age']).select(df.name, df.age).collect()
# [Row(name=u'Bob', age=5)]

Source: spark.apache.org

How to join two dataframes by 2 columns so they have only the common rows?

python by regexp27

on Jun 04 2020 Donate

import pandas as pd 
import numpy as np

df1 = pd.DataFrame({'fruit': ['apple', 'banana', 'orange'] * 3,
                    'weight': ['high', 'medium', 'low'] * 3,
                    'price': np.random.randint(0, 15, 9)})

df2 = pd.DataFrame({'pazham': ['apple', 'orange', 'pine'] * 2,
                    'kilo': ['high', 'low'] * 3,
                    'price': np.random.randint(0, 15, 6)})
out = df1.merge(df2,left_on=('fruit','weight'),right_on=('pazham','kilo'),how='inner',suffixes=('_left','_right')).head(10)