pandas check if value in column is in a list
df_new[df_new['l_ext'].isin([31, 22, 30, 25, 64])]
pandas check if value in column is in a list
df_new[df_new['l_ext'].isin([31, 22, 30, 25, 64])]
check if dataframe contains infinity
df.replace([np.inf, -np.inf], np.nan).dropna(subset=["col1", "col2"], how="all")
check if value is in series pandas
In [21]: s.unique()
Out[21]: array(['a', 'b', 'c'], dtype=object)
In [22]: 'a' in s.unique()
Out[22]: True
Pandas how to find column contains a certain value
import pandas as pd
df = pd.DataFrame({
'A': [1, 4, 7, 1, 4],
'B': [2, 5, 8, 2, 5],
'C': [3, 6, 9, 3, 6]
})
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