python - exclude rowin data frame based on value
df = df[df.myvar != 0]
df = df[df.myvar < 2]
python - exclude rowin data frame based on value
df = df[df.myvar != 0]
df = df[df.myvar < 2]
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()]
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