PYTHON

remove rows if not matching with value in df

# Quick Examples

#Using drop() to delete rows based on column value
df.drop(df[df['Fee'] >= 24000].index, inplace = True)

# Remove rows
df2 = df[df.Fee >= 24000]

# If you have space in column name
# Specify column name with in single quotes
df2 = df[df['column name']]

# Using loc
df2 = df.loc[df["Fee"] >= 24000 ]

# Delect rows based on multiple column value
df2 = df[ (df['Fee'] >= 22000) & (df['Discount'] == 2300)]

# Drop rows with None/NaN
df2 = df[df.Discount.notnull()]

remove row if all are the same value pandas

print (df['S'] != df['T'])
0    False
1     True
2     True
3     True
4    False
5     True
6     True
7     True
8    False
dtype: bool

df = df[df['S'] != df['T']]
print (df)
   S  T  W           U
1  A  B  0  Undirected
2  A  C  1  Undirected
3  B  A  0  Undirected
5  B  C  1  Undirected
6  C  A  1  Undirected
7  C  B  1  Undirected