how to check mix types in pandas column

Solutions on MaxInterview for how to check mix types in pandas column by the best coders in the world

Search
showing results for - "how to check mix types in pandas column"
Mirko
02 Feb 2020
1if mixed_dtypes := {c: dtype for c in df.columns if (dtype := pd.api.types.infer_dtype(df[c])).startswith("mixed")}:
2    raise TypeError(f"Dataframe has one more mixed dtypes: {mixed_dtypes}")
3
source
similar questions
python type hinting pandas dataframepandas decimal placesstandard deviation series pandaspandas print dataframe dtypespandas reciprocalpandas mask multiple conditiondisplay all categorical column in pandas dataframeset type of column pandasdataframe column data typepython function to scale selected features in a dataframe pandasusing df astype to select categorical data and numerical datapandas apply output multiple columnsknow datatype of pandaspandas df represent a long column name with short namevalidating columns in pandas on the basis of dtypespandas boolean maskpandas typr of each cell in seriesconvert pandas column typecreate a dataframe with single pyspark sql types longtype column named id 2c containing elements in a rangepandas dataframe print decimal placesastype float across columns pandasset dtype for multiple columns pandaspandan jaya lrtpandas numpy multiplicar dos columnas segun una condicion
queries leading to this page
dataframe see mix dtypes per columnhow to check mix types in pandas column