Delete rows with a certain condition in pandas

Question

I have a data frame and I want to delete rows that in the column "Phrase", pattern "___" exists.

Index	PHRASE	Label
0	proposed by the president of the	1
1	Living ___	1
2	"Murder, ___ Wrote"	0

But Imagin that the data fram has 2,000,000 enteries

import re

df_clean = pd.DataFrame()
z = 0
y = 0
for i in df_original["PHRASE"]:
  x = re.search("___", i)
  if x:
    y = y + 1
  else:
    df_clean.append([i])
    z = z + 1

this is what I came up with so far, I know it's not right, Does anyone know the answer? (by the way append takes a lot of time)

Asked By: Navid Aslankhani

||

Source

Answer 1

df[~df['phrase'].str.contains('___')]

Where the ~ symbol negates the operation.

Answered By: Vini

Delete rows with a certain condition in pandas

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