python check if is pandas dataframe
import pandas as pd
isinstance(df, pd.DataFrame)
python check if is pandas dataframe
import pandas as pd
isinstance(df, pd.DataFrame)
make a condition statement on column pandas
df['color'] = ['red' if x == 'Z' else 'green' for x in df['Set']]
make a condition statement on column pandas
df.loc[df['column name'] condition, 'new column name'] = 'value if condition is met'
if else python pandas dataframe
# create a list of our conditions
conditions = [
(df['likes_count'] <= 2),
(df['likes_count'] > 2) & (df['likes_count'] <= 9),
(df['likes_count'] > 9) & (df['likes_count'] <= 15),
(df['likes_count'] > 15)
]
# create a list of the values we want to assign for each condition
values = ['tier_4', 'tier_3', 'tier_2', 'tier_1']
# create a new column and use np.select to assign values to it using our lists as arguments
df['tier'] = np.select(conditions, values)
# display updated DataFrame
df.head()
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